GraphAware Blog - Neo4j

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Cypher: Using Index Hints

19 Aug 2019 by Luanne Misquitta Neo4j Cypher Intermediate

The Cypher query planner is quite advanced and mature, and you can mostly rely on it to pick the best plan for your query. However, there are rare cases, or bugs, that might want you looking for ways to influence that plan. This article demonstrates practical usage of an index hint. Note that all queries were tested against Neo4j Enterprise 3.5.8The graph modelThis is the relevant portion of the graph model that is sufficient to demonstrate the issue.Simple enough- we have many tweets, and tweets have keywords.Our graph has two indexes, one on the value of the Keyword, and the...

Build your first Neo4j Desktop Graph App in vanilla Javascript

25 Jul 2019 by Aldrin Misquitta Neo4j Web Apps Beginner Graph Apps

Build your first Neo4j Desktop Graph App in vanilla Javascript

Neo4j Desktop, part of the Neo4j Graph Platform, is a client application that installs on your desktop OS. It lets you get started quickly by downloading and installing the enterprise edition, and supported plugins. You can group related graphs and applications under a Project. You can also build single-page web applications that run within Neo4j Desktop and have access to these services provided by Neo4j Desktop. There are a number of apps available at https://install.graphapp.io/In this blog post, we will build a very simple graph app using vanilla javascript.All code in this blog post is available at https://github.com/aldrinm/simple-graph-app and https://github.com/aldrinm/simple-graph-app-npmHello,...

Graphs as Lateral Thinking for ITOps

16 Jul 2019 by Isaac Rosado Neo4j Knowledge Graph ETL DevOps ITSM ITOps ITIL

Graphs as Lateral Thinking for ITOps

“Lateral thinking” was a big topic back in 2004 when I was in the Network Operations Center (NOC) business; one definition is: “(lateral thinking) is the solving of problems by an indirect and creative approach, typically through viewing the issue in a new and unusual light.”If it works, don’t touch itBut the world of NOC operations, and generally IT Operations was anything but creative, not because we didn’t appreciate innovation per se, but because we valued reliability, consistency an uptime above all things, and those outcomes are the result of a long tradition in IT of approaching change, the natural...

Monitoring Neo4j and Procedures with Prometheus and Grafana - Part 2

14 Jun 2019 by Miro Marchi Neo4j Monitoring Causal Cluster

Monitoring Neo4j and Procedures with Prometheus and Grafana - Part 2

This is the second of a two post series on monitoring the Neo4j graph database with popular enterprise solutions such as Prometheus and Grafana. Monitoring the status and performance of connected data processes is a crucial aspect of deploying graph based applications. In Part 1 we have seen how to expose the graph database internals and custom metrics to Prometheus, where they are stored as multi-dimensional time series.It is now time to query those metrics and render results in a beautiful, integrated Grafana dashboard. This will help you establish 24/7 monitoring and alerting of your Neo4j setup so that you...

Avoid cycles in Cypher queries

26 Apr 2019 by Jan Zak Neo4j Beginner Cypher

Avoid cycles in Cypher queries

There is one common performance issue our clients run into when trying their first Cypher queries on a dataset in Neo4j. When writing a query, be sure that it doesn’t match any cycles, or you can experience unpleasant surprises.Assume the following sample graph and simple query:CREATE (a:Node {name: "A"}), (b:Node {name: "B"}), (c:Node {name: "C"}), (a)-[:TO {name: "1"}]->(b), (a)-[:TO {name: "2"}]->(b), (a)-[:TO {name: "3"}]->(b), (b)-[:TO {name: "4"}]->(c)MATCH p=({name: "A"})-[*..10]-({name: "C"}) RETURN pThe query returns 9 paths, instead of 3 as you might have guessed! The additional 6 paths have length 4 with node pattern A-B-A-B-C, note the repeated nodes A...

Graph-assisted Typescript refactoring

09 Mar 2019 by Roberto Previdi Neo4j Refactoring Typescript Development Community Detection Object Oriented

Graph-assisted Typescript refactoring

When developing web applications with frameworks like Vue.js the best approach is to subdivide it into well-defined and reusable components for the user interface, with the business logic being encapsulated in ‘services’.In an ideal world every new feature added should follow this approach and all components and services should remain at a reasonable size, so that you can quickly glance at each file and understand what it does.The problemThe reality is usually much less ideal: good principles are followed rigorously when the project is young, but as new features, bug fixes and different developers accumulate, components and services can become...

Lean Dependencies- Reduce Project Delivery Chaos with Graphs

20 Feb 2019 by Luanne Misquitta Neo4j Beginner

Lean Dependencies- Reduce Project Delivery Chaos with Graphs

Dependencies, like graphs, are everywhere. Achieving a goal is rarely possible in a vacuum and requires collaboration between individuals and/or processes.Eliminating dependencies completely is unrealistic- they are a part of life- but they can be streamlined to improve efficiency and reduce friction.In this blog post, we use the example of software projects, but dependency management can very well be applied to many verticals such as supply chains, business processes, inventory management and government processes and workflow.Quite a few organizations struggle as the time draws close to releasing or delivering a version of their software projects.For many, it is a time...

Graph Technology Landscape 2019

01 Feb 2019 by Janos Szendi-Varga Neo4j GraphAware

Graph Technology Landscape 2019

Few years ago I decided that one day I would create a Graph Technology Landscape map, which would be useful for everyone who wants to discover the players around graph technologies. I started to collect the companies and products, but my research has never manifested into a proper blog post. Till now. I am happy to announce, that the first version of my landscape is published, I hope we can consider this as a start of a long journey.

Deep Dive into Neo4j 3.5 Full Text Search

11 Jan 2019 by Christophe Willemsen Neo4j Cypher Search

Deep Dive into Neo4j 3.5 Full Text Search

In this blog we will go over the Full Text Search capabilities available in the latest major release of Neo4j.Contrary to our usual blogs, the content will rather focus on the underlying search engine used by Neo4j, that is Apache Lucene in version 5.5.5 .What exactly is Search ?Search is an interaction between a user and a search engine. The user has an information need at hand and attempts to satisfy it by providing a search with adequate constraints.The search engine uses those constraints to collect matching results and return them to the user.What is a Search Engine ?A search...

This year at GraphAware

27 Dec 2018 by Luanne Misquitta Neo4j GraphAware

This year at GraphAware

2018- it’s been such a whirlwind of activity at GraphAware, and we’re so proud of everything we’ve accomplished this year.In fact, we grew and grew, announcing ourselves in Australia and then, later in the year, expanding into the Americas.“Neo4j is one of the most disruptive and transformative technologies I have seen in my career,” said Kyle McNamara, CEO, Americas. His team are well on their way to increasing GraphAware’s presence and strengthening the already close bond we have with Neo4j.Over in Australia, various government entities have showed keen interest in auto-classification, simplifying organisational movement, enriching original documents, and security and...

Integration testing with Docker Neo4j image and Testcontainers

16 Dec 2018 by František Hartman Testing Docker Neo4j

Automated testing is the cornerstone of any successful software project.Applications using the Neo4j database are no exception. This blog postshows how to use the Neo4j Dockerimage and the Testcontainerslibrary for integration testing inJava using JUnit.This blog post shows examples in Java. Testcontainers library has beenported to many other languages so the same approach and principles canbe applied. Check out theTestcontainersgithub page.MotivationNeo4j already provides a testing harness to start a temporary databasewithin tests, either manually or through a JUnit rule. To use thisharness one must include theneo4j-harnessmaven artifact, together with whole Neo4j database as a testdependencyto the project. This inevitably pollutes...

Why You Should Start Thinking About Your Organization as a Graph

22 Oct 2018 by Janos Szendi-Varga Knowledge Graph NLP Neo4j Connected Data Knowledge Platform

Do you think there is no space for a graph database in your company? Or it would be a huge effort to integrate a graph database into your product? I have to tell you: You can use a graph database like Neo4j without touching your product, and you can use it for managing your company’s knowledge as well as to improve your software development process. So, even if your business problem is not inherently graphy (hard to believe in 2018), there are a few reasons why you should think about your environment as a graph.Without knowing your core business, I...

Solving the bucket-filling problem with Neo4j

02 Sep 2018 by Vince Bickers Neo4j State Machine Optimisation Problems Shortest Path

IntroductionIn the bucket filling problem you are given two empty buckets, each of a certain capacity, and a large supply of water. By filling, emptying and transferring water between the two buckets, you must try to end up with a situation where one of the buckets contains a required volume of water, or where both buckets together contain the required volume.One popular instance of the problem has two buckets with a capacity of 5 and 3 litres respectively, with the goal being to find a solution where one bucket contains exactly 4 litres. One solution is shown below: Step Action...

GraphAware Audit Module

28 Feb 2018 by Eric Spiegelberg Neo4j

The GraphAware Audit Module seamlessly and transparently captures the full audit history who, when, and how a graph was modified.A demonstration of the audit module is best viewed during live interactions with Neo4j, which is why GraphAware has published this screencast on the GraphAware YouTube channel. A textual summary of the screencast, this post will quickly introduce modules, discuss the GraphAware Framework, and then dive into the audit module.What is a module?Modules are small, custom built software packages, also commonly called plugins, that live inside of Neo4j and enhance it to provide advanced functionality. The type of advanced functionality that...

Neo4j Causal Cluster Docker Quickstart

03 Jan 2018 by Eric Spiegelberg Neo4j Causal Cluster Docker SDN OGM

Enterprise IT requirements are demanding and solutions are expected to be reliable, scalable, and continuously available. Databases accomplish this through clustering, the ability of several instances to connect and conceptually appear and operate as a single unit.While Neo4j’s clustering is well documented, for exploration and learning it can be helpful to get a cluster up and running as quickly as possible. This post demonstrates how to use Docker to have a Neo4j causal cluster up and running in a matter of minutes.Neo4j Causal ClusteringCausal clustering, introduced as a cornerstone feature of Neo4j 3.1, enables support for ultra-large clusters and a...

GraphAware in 2017

27 Dec 2017 by Luanne Misquitta Neo4j GraphAware

What a year it’s been for all of us at GraphAware!We travelled around the world, starting on a great note in Bangalore, India and winding up in Ecuador, teaching,consulting, building cool applications; always spreading graph love.Here are some of the highlights of 2017.Neo4j loveGraphAware continued to be a premier Neo4j Solutions Partner, closing license sales around the world, conducting Neo4j trainings, providing support to Neo4j customers and being an instrumental part of the Neo4j community and ecosystem.Frantisek and Nicolas, core committers to Neo4j OGM and Spring Data Neo4j, made huge improvements to both projects, resulting in a major milestone, Spring...

Spring Boot Actuator’s Neo4jHealthIndicator

25 Nov 2017 by Eric Spiegelberg Neo4j Spring

Spring and Spring Boot have become the Swiss Army knife of Java software development, offering dozens of useful modules across a wide range of concerns.One such module is Spring Boot Actuator, a sub-project of Spring Boot, that offers built-in, production-grade functionality to help monitor and interact with an application. Numerous endpoints are included that provide a wealth of information that, among others, include auditing, configuration, environment, and health details.The /health EndpointOne particularly useful endpoint is /health, which displays information on the application’s overall health and can be used by monitoring software to generate alerts should a system component become unavailable....

Cybersecurity & Graph Technology: An Excellent Fit

24 Oct 2017 by Eric Spiegelberg Neo4j Security

We are becoming increasingly dependent on technology. Yet, without diligent attention paid to cybersecurity, technology is vulnerable to unauthorized access, change or even destruction. These vulnerabilities pose threats to our individual and collective safety, security and human and economic well-being.Cybersecurity is therefore a vitally important global issue with substantial consequences that depends on safe, stable, and resilient security of our data, devices, and systems.Equifax: The BreachThe latest major cybersecurity incident was publically revealed when Equifax, a US-based consumer credit reporting agency that assimilates and analyzes the financial health of more than 820 million consumers and 91 million businesses globally, announced a...

7VORTEX: Systems Thinking Powered By Graphs

15 Oct 2017 by Miro Marchi Neo4j Graph Visualization Connected Data Analytics

The success of many enterprises greatly depends on their ability to gather useful information and process it in a timely manner. Automation is essential and so is presentation, giving tangible feedback, to decision makers. This is where technology reaches out to management, where science and design are combined to put the right people in the position of making better and more sustainable choices.Decision making is often a very complex task. Outcomes depend on a multitude of interactions between variables, actions, and actors at play in multiple contexts. While emphasis on individual aspects or subsets of interactions is very important, information...

Efficient unsupervised keywords extraction using graphs

03 Oct 2017 by Alessandro Negro, Vlasta Kůs, Miro Marchi, Christophe Willemsen Neo4j NLP Knowledge Platform Cognitive Computing

Companies of any size have to manage and access huge amounts of data providing advanced services for their end-users or to handle their internal processes. The greater part of this data is usually stored in the form of text. Processing and analyzing this huge source of knowledge represents a competitive advantage, but often, even providing simple and effective access to it is a complex task, due to the unstructured nature of the textual data. This blog post will focus on a specific use case: provide effective access to a huge set of documents - later referred as a corpus -...

Reverse Engineering Book Stories with Neo4j and GraphAware NLP

24 Jul 2017 by Christophe Willemsen Neo4j NLP Cypher

A book tells us a story, but for a computer it is a wall of text. How can we use graphs and NLP to help our machines make more sense of a story?Our example comes from the A Song of Ice and Fire books, aka Game of Thrones. We converted the e-books (epub) to text-files and used a small python program to split them into chapters, paragraphs, and sentences.So a book turned into this model :GraphAware NLPGraphAware NLP Framework is a project that integrates NLP processing capabilities available in several software packages like Stanford NLP and OpenNLP, existing data sources,...

Relevant Search Leveraging Knowledge Graphs with Neo4j

05 May 2017 by Alessandro Negro Neo4j Elasticsearch Knowledge Graph Search NLP Recommendations

“Relevance is the practice of improving search results for users by satisfying their information needs in the context of a particular user experience, while balancing how ranking impacts business’s needs.” [1]Providing relevant information to the user performing search queries or navigating a site is always a complex task. It requires a huge set of data, a process of progressive improvements, and self-tuning parameters together with infrastructure that can support them.Such search infrastructure must be introduced seamlessly and smoothly into the existing platform, with access to all relevant data flows to provide always up-to-date data. Moreover, it should allow for easy...

What’s New in Neo4j Databridge [April 2017]

27 Apr 2017 by Vince Bickers Neo4j ETL Databridge

Since our first post a few months back, Neo4j-Databridge has seen a number of improvements and enhancements. In this post, we’ll take a quick tour of the latest features.Streaming EndpointAlthough Databridge is primarily designed for bulk data import, which requires Neo4j to be offline, we recently added the capability to import data into a running Neo4j instance.This was prompted by a specific request from a user who pointed out that in many cases people want to do a fast bulk-load of an initial large dataset with the database offline, and then subsequently apply small incremental updates to that data with...

Bridging similarity islands in recommendation systems with Neo4j

08 Mar 2017 by Miro Marchi Neo4j Recommendations

Recommendation engines are a crucial element in the global trend towards a push-based web experience and away from a pull-based one. They provide the ability to personalize content offered to each user by predicting the interest the user will have in the recommended items. This is not only a powerful business tool for content providers, but also a vital improvement to the user experience. In today’s world where the volume, interdependence, variety and speed of information is overwhelming, recommendation engines can significantly reduce the gap between us and what we search for. Indeed, these engines are used even to enhance...

GraphAware at GraphConnect San Francisco 2016

25 Nov 2016 by Miro Marchi Neo4j Conference GraphAware

Last month, the 5th edition of GraphConnect San Francisco took place at the Hyatt Regency SF. It was the biggest graph technology event ever and GraphAware proudly contributed as a sponsor, with one main talk, two lightning talks and our GraphHero stand 。^‿^。 This edition’s big announcement was the upcoming new landmark release of Neo4j 3.1, “The database for the connected enterprise”, which introduces a new state-of-the-art clustering architecture and new security architecture to meet enterprise requirements for scale and security. There will be a lot to say about this release, but you can already try the beta release as...

Introducing GraphAware Databridge: Graph Data Import Made Simple

10 Oct 2016 by Vince Bickers Neo4j ETL Databridge

IntroductionUntil now, Neo4j users wanting to import data into Neo4j have been faced with two choices: Create Cypher statements in conjunction with Cypher’s LOAD CSV or use Neo4j’s batch import tool.Each of these approaches has its strengths and weaknesses. LOAD CSV is very flexible, but you need to learn Cypher, it struggles with large volumes of data and is relatively slow.On the other hand, Neo4j’s batch import tool is extremely efficient at processing large data volumes. You don’t need to know any Cypher, but the input files usually need to be manually generated beforehand. Being a simple CSV loader, it...

Using NLP + Neo4j for a Social Media Recommendation Engine

04 Oct 2016 by Alessandro Negro Neo4j NLP

In recent years, the rapid growth of social media communities has created a vast amount of digital documents on the web. Recommending relevant documents to users is a strategic goal for the effectiveness of customer engagement but at the same time is not a trivial problem.In a previous blog post, we introduced the GraphAware Natural Language Processing (NLP) plugin. It provides the basis to realize more complex applications that leverage text analysis and to offer enhanced functionalities to end users.An interesting use case is combining content-based recommendations with a collaborative filtering approach to deliver high quality “suggestions”. This scenario fits...

Upgrading to Spring Data Neo4j 4.2

30 Sep 2016 by Mark Angrish Neo4j Spring SDN OGM Beginner

Previous articleshave shown you how easy using Spring with Neo4j can be. Now the next release of Spring Data Neo4j (SDN), we are going to make this even easier!This post is first in a series that will explore the exciting improvements that will be available in the first candidate releaseof SDN 4.2, but these are already available in the current snapshot.The main highlights we will be covering include: Brand new Spring configuration method. Tighter integration into Spring transactions with support for transactional event listeners and read only transactions. Paging and sorting support for custom queries. Ability to attach multiple labels...

Internationalization with CypherMessageSource, Spring and Neo4j

29 Sep 2016 by Eric Spiegelberg, Guest Author Neo4j SDN Internationalization Localization

Whether you realize it or not, the software you create has a global market. Perhaps more so than any other product in any other industry,code that may start as a small, individual effort has the potential to rapidly blossom into a product used around the world.While it is not always obvious that your application can or will have such wide usage, it is in your best interest to maximizethe number of organizations and people you can reach. This means it is important to ensure your software is internationalized and localized.Internationalization and LocalizationInternationalization is the process of developing products in such...

Power a Github Notification Bot for Issue Reviewers with Graph Based NLP

06 Sep 2016 by Christophe Willemsen Neo4j NLP Advanced

Without question, Github is the biggest code sharing platform on the planet. With more than 14 millions users and 35 million repositories, the insights you can discover by analyzing the data available through its API are surprising and revealing.I’ve been very passionate about this data for a long time, as much as I am about Neo4j. Importing this data into a graph database can reveal interesting new information.Two years ago I created a Github Gist with some interesting queries on that dataset. I showed many more queries at several conferences since.Recently, I came across mention-bot from Facebook, which analyses the...

Advanced Neo4j to Elasticsearch Replication

27 Jul 2016 by Christophe Willemsen Neo4j Elasticsearch Framework

During GraphConnect San Francisco 2015, we introduced the concept of Graph-Aided Search and released the first module providing Neo4j data replication to Elasticsearch.Some months later, the second part was released as an Elasticsearch plugin providing advanced personalized search using Neo4j as source of external knowledge, which, combined with the former module, constitutes a complete bidirectional integration with Neo4j, taking advantage of the strengths of both technologies.The first version of the neo4j-to-elasticsearch plugin had a simple approach for defining which nodes should be indexed. After a while the need for more flexibility arose.Based on our experience using the plugin and valuable...

Neo4j as a Key Player in Human Capital Management

19 Jul 2016 by Luanne Misquitta Neo4j HCM PeopleAnalytics HR HRTech

In the Bersin Predictions for 2016 report, Josh Bersin states that “it feels as though everything in the world of talent is changing – from the way we recruit and attract people, as well as how we reward them, to the way we learn, and how we curate and manage our entire work-life experience”[1].In fact, the last decade has witnessed much churn in the human resources and talent management software space to developholistic solutions for employee engagement and retention. HR continues to grapple with the problem of seeming to knowmore about people outside their companies rather than inside. The workforce,...

Mining and Searching Text with Graph Databases

07 Jul 2016 by Alessandro Negro Neo4j GraphAware Enterprise NLP Search Advanced

A great part of the world’s knowledge is stored using text in natural language, but using it in an effective way isstill a major challenge. Natural Language Processing (NLP) techniques provide the basis for harnessing this huge amountof data and converting it into a useful source of knowledge for further processing.IntroductionNLP is used in a wide variety of disciplines to solve many different types of problems. Analysis is performed on textfrom different sources, such as blogs, tweets, and various social media, with size ranging from a few words to multiple documents.Machine learning and text analysis are frequently used to enhance...

Graph-Aided Search - The Rise of Personalised Content

20 Apr 2016 by Alessandro Negro, Christophe Willemsen Neo4j Cypher Recommendations Elasticsearch

In our previous blog postwe introduced the concept of Graph Aided Search. It refers to a personalised user experience during search where theresults are customised for each user based on information gathered about them (likes, friends, clicks, buying history, etc.).This information is stored in a graph database and processed using machine learning and/or graph analysis algorithms.A simple example is the LinkedIn search functionality. If we were typing “Michal” in the text input, it would obviouslyreturn people where the name matches and order them by full text relevancy with some fuzziness:Lucene-based search engines such as Elasticsearch and Solr offer impressive performance...

(Un)common Use Cases for Graph Databases

18 Apr 2016 by Michal Bachman Neo4j Beginner Modelling

At GraphAware, we live and breathe Neo4j. For three years, we have been helping customers around the world embrace thisamazing technology as a solution to many interesting problems. Mainstream applications of graphs, such as real-timerecommendations, fraud detection, impact analysis, and graph-aided search, have been getting a lot of media attention.In the run up to GraphConnect Europe 2016, we would like to illustrate that graphs are truly for everyone by going oversome of the less obvious, though equally interesting and intellectually stimulating use cases that we have come across.Rules EnginesWhether you’re a startup building a mobile application that will help people...

Neo4j OGM Events - Part 1

13 Apr 2016 by Vince Bickers Neo4j OGM SDN Intermediate

As of version 2.1, Neo4j OGM will support persistence events. Although a date for the release of 2.1 isn’t known at thetime of writing, we think this is an important and exciting new feature and so we’ll be writing a series of posts aboutit over the next few weeks to whet your appetites. In this first post we’ll take a quick tour of the new Events mechanismin the OGM, and provide some examples of how we might use it in our own applications. But first, some background…OGM persistence strategyBy design, the OGM has a deep persistence strategy. This means that...

Mapping query results to domain entities using SDN 4.1

06 Apr 2016 by Luanne Misquitta Neo4j Spring SDN OGM

Spring Data Neo4j 4.1 introduces the ability to map nodes and relationships returned by custom Cypher queries to domain entities. This blog post will explain how different types of query results map to entities.But firstThere are two things to keep in mind- This functionality is only available in SDN 4.1 and Neo4j-OGM 2.0 SDN/Neo4j-OGM does not modify your Cypher queries at runtime and it can only map what the query returnsThe BasicsThis simple example shows a custom Cypher query that returns a single node entity and a calculated value: @Query("MATCH (user:User) WHERE <complex conditions> RETURN user, calculatedValue") UserResult findUserByComplexCondition(String param);and...

Securing Neo4j with GraphAware Enterprise

29 Mar 2016 by Michal Bachman Neo4j GraphAware Intermediate Security Enterprise

For most organisations, data security is extremely important. The topic comes up every single time we are training, consulting,or otherwise engaging in the world of graphs and Neo4j. At the same time, security is very difficult and time-consuming to get rightand the implications of getting it wrong can be serious. In this blog post, we introduce the integration of Spring Securityinto Neo4j which provides important security controls and mechanisms for enterprises and governments that make use of theworld’s most popular graph database.Security in Neo4jNeo4j comes with certain security mechanisms out of the box. These include HTTPS support,single-user authentication with all-or-nothing...

Expiring Data in Neo4j

15 Mar 2016 by Michal Bachman Neo4j GraphAware Intermediate

At GraphAware, we help organisations in a wide range of verticals solve problems with graphs.Once we come across a requirement or use case two or three different times, we typically create an open-source Neo4j extensionthat addresses it. The latest addition to our product portfolio, introduced in this post, is a simple library that automaticallyexpires data from the Neo4j graph database.GraphAware FrameworkOpen-sourcing useful extensions helps us deliver solutions faster, lets people who prefer a DIY approach be more productive, andgives us valuable community feedback. That’s how our most popular products, such as the GraphAware Recommendation Engine,TimeTree, UUID, and others were born.They...

Improving the Flavour- Upgrading to Spring Data Neo4j 4.1

24 Feb 2016 by Luanne Misquitta Neo4j Spring SDN OGM

Our previous article demonstrated how easy it was to build an application using Spring Data Neo4j 4.The first milestone of Spring Data Neo4j 4.1 has just been released (based on Neo4j OGM 2.0), and it delivers significant performance improvements for write operations, the ability to map nodes and relationships returned in custom Cypher queries to domain entities, as well as the much awaited support for embedded Neo4j.The new Components framework in Neo4j OGM 2.0 allows you to configure your application by specifying which driver you want to use to connect to Neo4j.Currently supported are the Http and Embedded drivers. A...

Meetup Invite: Real-Time Recommendations and the Future of Search

30 Jan 2016 by Michal Bachman Neo4j Meetup

We are delighted to invite you to a Meetup on 4th February 2016 at 6:30 pm at GraphAware London office where Michal Bachman is going to present the European premiere of his talk entitled “Real-Time Recommendations and the Future of Search” combined with a unique expert panel discussion and Q&A.Read more and sign up here.Time & Place4th February 2016 at 6:30 pm </br>GraphAware London office</br>133 Great Suffolk StreetLondon SE1 1PPUnited Kingdom</br>

The Essence of Spring Data Neo4j 4

15 Dec 2015 by Luanne Misquitta Neo4j Spring SDN OGM

This guide (first published on Airpair) will get you up and running with Spring Data Neo4j 4 in under an hour.It is based on a live application, Flavorwocky, the winner of the Neo4j Heroku Challenge 2012. Rewritten to use Spring Data Neo4j 4, the code is open source and available on Github.Introducing Spring Data Neo4j 4Neo4j is the world’s most popular graph database. With ACID guarantees and the ability to scale to billions of nodes and relationships, Neo4j is the preferred choice for modelling highly connected domains.Spring Data Neo4j is part of the Spring Data initiative and simplifies development using...

Processing Large Sets of Nodes with Cypher

10 Dec 2015 by Christophe Willemsen Neo4j Cypher

Iterating over large numbers of nodes using Cypher is quite a common use case in Neo4j. Typically, the reason for doing thisis that we want to perform some kind of operation for each one of these nodes. In this blog post, we will use one millionTestNodes and try to iterate over them in order to index their contents into a freshly created Elasticsearch index.There are three approaches we can take, two of which are quite common, but the most performant technique is largely unknown.First Technique : SKIP and LIMITUsing SKIP and LIMIT is the first approach that comes to mind,...

GraphConnect 2015 Talk

20 Nov 2015 by Michal Bachman Neo4j Conference Intermediate Search Elasticsearch

Last month, I had the pleasure of speaking at GraphConnect in San Francisco, introducing the Graph-Aided Search to alarge audience of Neo4j users and graph enthusiasts. For those who missed the conference, the recording and slides havenow been made available. Enjoy and get in touch with feedback / questions!VideoSlides Real-Time Recommendations and the Future of Search from GraphAware

Faster Recommendations with Neo4j 2.3 Triadic Selection

20 Oct 2015 by Alessandro Negro, Christophe Willemsen Neo4j Cypher Recommendations

Recently, Neo Technology announced the 2.3.0-RC1 release of their Neo4j graph database. One of the key new features is TriadicSelection built into Cypher’s Cost Based Planner. In this blog post, we will explore the Triadic Selection in detailand demonstrate how significantly it can speed up recommendations computed in Neo4j.What is Triadic Selection?A Bit of Theory: Triadic ClosureNetworks or graphs can rarely be considered static structures. On the contrary, often they seem to be ever-evolving objects.Any social network, for example, is often the most dynamic of graphs: at any moment, new relationships are created between existing nodes, other relationships vanish,new nodes...

Recommendations with Neo4j and Graph-Aided Search

30 Sep 2015 by Michal Bachman Neo4j Recommendations Search Elasticsearch

For the last couple of years, Neo4j has been increasingly popular as the technology of choice for people building real-time recommendation engines. Having been at the forefront of the graph movement through clientengagements and open-source software development, we have identified the next step in the natural evolution of graph-based recommendationengines. We call it Graph-Aided Search.Recommendations EverywhereAt first glance, it may seem that graph databases are only good for social networks but it has been proven over and overagain that the variety of domains and industries that need a graph database to store, analyse, and query connected datacould not be any...

Object Models and Spring Data Neo4j 4

03 Sep 2015 by Luanne Misquitta Neo4j Spring SDN OGM

Drawing a graph on a whiteboard is easy and fun! Translating that graph into an object model can sometimes result in questions such as “do I have to define relationships in both participating node entities?”or “which end of the relationship should I save?”.Your object model is key when using an object graph mapper such as Neo4j OGM. The Neo4j OGM library is the magic behind Spring Data Neo4j 4so this article applies to both Neo4j OGM and SDN 4.We’ll be using the ubiquitous movies domain to explain some common models.Bidirectional NavigationThe simplest object model is also the one that represents...

Integration Testing Against Remote Neo4j

20 Aug 2015 by Adam George Neo4j Advanced GraphUnit Testing

Writing integration tests for your code that runs against Neo4j is simple enough when using the native API, but there’snot a great deal of help out there if you’re working in client-server mode. Making assertions about the shape of thegraph can also be difficult, particularly if use cases involve more than a few nodes and relationships.In all but the most simple of scenarios, it can be hard to see why the graph in the test database isn’t as expected,as the feedback is often as black-and-white as pass/fail so you can be looking for a proverbial needle in a haystackwhen trying...

Cypher: Variable Length Relationships by Example

19 May 2015 by Christophe Willemsen, Michal Bachman Neo4j Cypher

In this blog post, we’ll demonstrate how to use variable length relationships (sometimes called “variable length paths”)in Cypher using examples. We will also see when zero length relationships can be useful.IntroductionLet’s start with the basics. For the sake of the blog post, our use case will be users that know other users. Userswrite blog posts modeled as linked lists:You can generate an example graph with the following link to a predefined Graphgen graph, oruse this Neo4j Console if you want to execute the queries whilst reading the blog post.Basic Relationships MatchingLet’s start with a basic query that will find a...

GraphConnect Europe 2015

05 May 2015 by Michal Bachman GraphAware Neo4j Conference

GraphAware is very proud to sponsor GraphConnect Europe 2015, the only conference thatfocuses on the rapidly growing world of graph databases and applications that make sense of connected data. The conferencetakes place in London on 7th May 2015.Throughout the week, London turns into the world’s capital of graphs. We are extremely excited to welcome our Bruges,Prague, and Mumbai based colleagues in our London headquarters. We are very much looking forward to meeting our friendsfrom Neo Technology from UK, Sweden, USA, and the rest of the world, as well as other valued members of the worldwidegraph community.As an important member of...

Neo4j Events (Spring/Summer 2015)

27 Mar 2015 by Michal Bachman Neo4j Events Beginner

At GraphAware, we are very excited about the recently released Neo4j 2.2 and would like to share some info about whereyou can meet us in the next few weeks and months. Come and see us for a chat and learn something new about Neo4j and Graph Databases! On 6th April, Luanne is running a Neo4j Fundamentals training in Bangalore On 29th & 30th April, Vince is speaking about Spring Data Neo4j at Spring I/O in Barcelona On 30th April, Christophe is speaking about Neo4j at a Symfony meetup in Antwerp On 4th May, Michal is doing a Recommendation Engine Webinar...

Announcing Spring Data Neo4j 4.0

24 Mar 2015 by Vince Bickers Neo4j Spring SDN Beginner

Over the last few months, GraphAware, Neo4j, and Pivotal engineers have been workingon a ground-up reimplementation of Spring Data Neo4j (SDN) that is server-first and Cypher-centric. Today we are veryexcited to announce the first milestone of the new Spring Data project for Neo4j.Server-first!While Neo4j has the ability to run embedded or as a regular server-side database, a lot of users favor traditionaldeployments where the database can scale independently of application servers. Neo4j server has provided the capabilityto do this for some time now but when the original version of SDN was written, it was designed to target Neo4jin embedded (in-process)...

MATCHing Paths with Very Dense Nodes in Neo4j 2.2

19 Mar 2015 by Christophe Willemsen Neo4j Cypher Intermediate

Last weekend, I came across a tweet announcing that Wikimedia released the dataset of the page clickstreamsfor February 2015. I found it interesting to download this dataset and see how people arrive on the Neo4j’s Wikipedia page.The data is quite simple; we have page entities that relate to other pages. A page can either be a Wikipedia page, ora non-Wikipedia page such as Google. Relationships can represent a user click from a Wikipedia page to another page, or a user searching on Google or Wikipedia. The number of times an event occurs is also provided in the dataset.Importing the DatasetYou...

Using the Neo4j Shell with Embedded Neo4j

10 Feb 2015 by Luanne Misquitta Neo4j Intermediate

Our earlier blog posttalked about using the Neo4j web browser along with embedded Neo4j.The WrappingNeoServerBootstrapper which was employed to do this has been deprecated for a while and it raises questionsabout the alternative.Testing server extensions is now possible(see Testing your extension)but there is still another use case for wanting to connect to an embedded graph - troubleshooting.Perhaps you have a web application running in production with Neo4j in embedded mode and you’ve got to troubleshoot an issue which requires access to the graph - how do you do this against a live graph?Well, there is another option which won’t give...

Modelling Data in Neo4j: Labels vs. Indexed Properties

16 Jan 2015 by Christophe Willemsen Neo4j Modelling Cypher Intermediate

A common question when planning and designing your Neo4j Graph Database is how to handle “flagged” entities. This couldinclude users that are active, blog posts that are published, news articles that have been read, etc.IntroductionIn the SQL world, you would typically create a a boolean|tinyint column; in Neo4j, the same can be achieved in thefollowing two ways: A flagged indexed property A dedicated labelHaving faced this design dilemma a number of times, we would like to share our experience with the twopresented possibilities and some Cypher query optimizations that will help you take a full advantage of a the graph...

Neo4j Events (Jan/Feb 2015)

16 Jan 2015 by Michal Bachman Neo4j Events Beginner

There is no better way to start 2015 than to learn something new. In the wake of two recent major announcements (here and here),Neo4j is as hot as ever, so it might well be the next skill you pick up or improve. Here’s a list of Neo4j events organisedby GraphAware around the world in the next few weeks. We’ll be delighted to see you there! On 17th January, Luanne is running a Graph Data Modelling training in Bangalore On 19th January, I’m speaking about Recommendation Engines at Neo4j Expert Talks in Berlin On 21st January, Christophe is showing off Graphgen...

Using the Neo4j Browser with Embedded Neo4j

21 Nov 2014 by Luanne Misquitta Neo4j Intermediate

There are times when you have an application using Neo4j in embedded mode but also need to play around with the graphusing the Neo4j web browser. Since the database can be accessed from at most one process at a time, trying to start upthe Neo4j server when your embedded Neo4j application is running won’t work. The WrappingNeoServerBootstrapper,although deprecated, comes to the rescue. Here’s how to set it up.Maven Dependencies<dependency> <groupId>org.neo4j</groupId> <artifactId>neo4j</artifactId> <version>2.1.5</version></dependency><dependency> <groupId>org.neo4j.app</groupId> <artifactId>neo4j-server</artifactId> <version>2.1.5</version></dependency><dependency> <groupId>org.neo4j.app</groupId> <artifactId>neo4j-server</artifactId> <version>2.1.5</version> <classifier>static-web</classifier></dependency>Start the WrappingNeoServerBootstrapperpublic static void connectAndStartBootstrapper() { WrappingNeoServerBootstrapper neoServerBootstrapper; GraphDatabaseService db = new GraphDatabaseFactory() .newEmbeddedDatabaseBuilder("/path/to/db").newGraphDatabase(); try { GraphDatabaseAPI api = (GraphDatabaseAPI) db;...

GraphConnect 2014 Talk

20 Nov 2014 by Michal Bachman Neo4j Conference Intermediate

Last month, I had the pleasure of speaking at GraphConnect in San Francisco, introducing the GraphAware Framework to alarge audience of Neo4j users and graph enthusiasts. For those who missed the conference, the recording and slides havenow been made available. Enjoy and get in touch with feedback / questions!VideoSlides GraphAware Framework Intro from Michal Bachman

Neo Technology Selects GraphAware as One of Its First UK Solution Partners

10 Nov 2014 by Press Release Neo4j GraphAware

Specialist in Neo4j consultancy, training, and software development, Graph Aware Ltd has been selected as one of NeoTechnology’s first UK solution partners, under its newly launched partnership program.Neo Technology is the creator of the world’s most popular graph database, Neo4j, and has selected GraphAware to provideits customers with support from introduction through to full integration of Neo4j, into their enterprise architecture andapplications. In addition, GraphAware is now authorised to offer Neo4j subscriptions directly to customers.With access to GraphAware’s Neo4j experts throughout the implementation and integration process, customers are muchbetter positioned to fully utilise all the business and technical benefits of...

GraphAware Neo4j ChangeFeed

27 Aug 2014 by Luanne Misquitta Neo4j GraphAware Beginner

In this post, we’d like to introduce the first version of the GraphAware Neo4j ChangeFeed - a GraphAware Runtime Modulethat keeps track of changes made to the graph.GraphAware ChangeFeed ModuleEvery time a transaction commits successfully, all changes made to the graph as a result of the transaction are recordedas a change set. A change includes additions, modifications and deletions of nodes, relationships, labels, and properties.Each change set has a UUID, a set of changes that occurred in the same transaction, and a timestamp which is allocatedat the time the transaction starts committing.The module can be configured to limit the total...

GraphAware Neo4j TimeTree

20 Aug 2014 by Luanne Misquitta, Michal Bachman Neo4j GraphAware Intermediate

Modelling and querying time-based events in a graph is a fairly common discussion topic and a frequently asked questionon Q/A sites. In this blog post, we evaluate some of the common approaches and introduce GraphAware TimeTree, a GraphAware Framework Module that simplifies modelling time and events in Neo4j.Naive ApproachNeo4j has no notion of a Date/Time data type, so you have to decide to store the timestamp either as a long, or asa human-readable String, for instance formatted as ‘YYYY-MM-DD HH:mm:ss’. Unless the time is only for human eyes, though,we recommend opting for the machine readable (long) approach. It is simply...

Random Graph Models (Part II)

06 Aug 2014 by Vojtěch Havlíček Neo4j GraphAware Intermediate

In the first part of this short series aboutrandom graph models, we talked about why they are useful and had a brief look at two of them: Erdos-Renyi graphs andBarabasi-Albert model. In this post, we take a look at the “small world” phenomenon and another network model, namelythe Watts-Strogatz model.Small WorldThere is an important property of random networks which we did not write about in the last blog post: the way thenode separation scales with network size. Both Erdos-Renyi and Barabasi-Albert networks are “small world” models, meaningthat the characteristic node separation scales logarithmically with number of nodes present in the...

Cypher MERGE Explained

31 Jul 2014 by Luanne Misquitta Neo4j Beginner Cypher

With MERGE set to replace CREATE UNIQUEat some time, the behavior of MERGE can sometimes be tricky to understand.MERGEHere’s a summary of what MERGE does: It ensures that a pattern exists in the graph by creating it if it does not exist already It will not use partially existing patterns- it will attempt to match the entire pattern and create the entire pattern if missing When unique constraints are defined, MERGE expects to find at most one node that matches the pattern It also allows you to define what should happen based on whether data was created or matchedThe key...

Node Degrees in Neo4j 2.1

23 Jul 2014 by Michal Bachman Neo4j GraphAware Beginner

Efficient counting of relationships in Neo4j was the cornerstone of my Master Thesisand the reason the very first GraphAware Frameworkmodule called the Relationship Count Module was born. The improvements in Neo4j 2.1around dense nodes and the addition of getDegree(…) methods on the Node interface made me eager to do some benchmarking around relationship counts again.The improvements in Neo4j 2.1, indeed, make the RelCount module slightly less useful. We’ve decided, however, not to makeit obsolete, since it is a useful reference implementation of a GraphAware Framework Transaction-Driven Runtime Module.Instead, we ported the module to Neo4j 2.1 and reused all the performance...

Random Graph Models (Part I)

16 Jul 2014 by Vojtěch Havlíček Neo4j GraphAware Intermediate

When one obtains a graph data from a measurement on a real world network, it is sometimes useful to make comparison witha random graph. Such graph is characterised by certain degree distribution, which you can imagine to be a list of degreesof nodes present in the network. The most interesting distributions have certain functional dependence which allowsone to infer what processes are dominant in formation of the network. The processes consequently characterise therelationships between the nodes.Why would one care about such analysis?Imagine a group of customers that you want to target efficiently in a certain fashion. Say, for instance, that...

Neo4j Improved Transaction Event API

11 Jul 2014 by Michal Bachman Neo4j Transactions GraphAware Advanced

One of the main goals of the GraphAware Framework is to simplify andspeed up development with Neo4j. Although it is called a “framework” for reasons explained elsewhere, today we willsimply treat it as a library of useful, tested, and documented Java code. The feature we will introduce is calledImproved Transaction Event API, which is exactly what it says on the tin.MotivationNeo4j requires every mutating operation on the graph to be run in a transaction, which is great, because it keeps yourdata safe. Every operation is atomic, consistent, isolated, and durable. As a bonus, Neo4j gives you the opportunity toreact to...

Neo4j Server Unit Testing with RestTest

19 Jun 2014 by Luanne Misquitta Neo4j GraphAware Intermediate GraphUnit Testing

A couple of days ago, I wrote about unit testing with GraphUnit.GraphUnit tested the state of an embedded Neo4j database. What if you run Neo4j in standalone server mode?Fortunately, you can still test it and match subgraphs using the GraphAware Neo4j RestTest library.SetupGrab the GraphAware Neo4j Framework and GraphAware Neo4j RestTest jars from the Downloads page. Drop them into the plugins directory of your Neo4j installation and restart the server to be able to use the API’s.How to use itAll you have to do is POST your cypher to http://your-server-address:7474/graphaware/resttest/assertSameGraph orhttp://your-server-address:7474/graphaware/resttest/assertSubgraph to verify the state of your graph.Emptying the database...

Neo4j Unit Testing with GraphUnit

16 Jun 2014 by Luanne Misquitta Neo4j GraphAware Intermediate GraphUnit Testing

Testing the state of an Embedded Neo4j database is now much easier if you use GraphUnit, a component of the GraphAware Neo4j Framework.I tried replacing an existing Flavorwocky unit test with GraphUnit to check out the benefits.Let’s walk through a before-after case study.The testThe unit test in question is the one to test that a Pairing is saved correctly. A pairing must have exactly two ingredients. Each Ingredient node has a name; a Pairing has an affinity and an array of allAffinities (all affinities ever assigned to the pairing).BeforePseudocode to test that my code saved a pairing correctly in Neo4j:...

Happy Birthday GraphAware

03 Jun 2014 by Michal Bachman Neo4j GraphAware

Today, it is exactly one year ago since Graph Aware Limited was incorporated. It started as a one man show, whilst I was finishing my MSc. Thesis at Imperial College London. Since then, we’ve been growing slowly but steadily and will be moving to our new London office fairly soon (announcements to come). We have happy clients in London, New York, Copenhagen, Barcelona, Prague, and Accra.I would like to take this opportunity to thank everyone who’s made it possible for us to help people discover the beauty of graphs, run a business, and have a lot of fun, all at...

GraphUnit: Testing Neo4j Code

29 May 2014 by Michal Bachman Neo4j GraphAware Intermediate GraphUnit Testing

Recently, we announced the GraphAware Framework. Today, I would like to introduce its first feature called GraphUnit. GraphUnit is a component that helps Java developers unit test their code that talks to Neo4j and mutates data.Unit Testing Neo4j CodeWhen writing Java code that modifies data stored in Neo4j, developers can use the ImpermanentGraphDatabase in conjunction with any of APIs provided by Neo4jto test that code. This includes the native Java API, the traversal framework, and Cypher.(I’ve excluded the REST API because using that to unit test Java code wouldn’t make much sense.)Let’s say we’re testing code that creates two nodes...

Introducing GraphAware Neo4j Framework

28 May 2014 by Michal Bachman Neo4j GraphAware Intermediate

In this short blog post, I would like to introduce the GraphAware Neo4j Framework.Its goal is very ambitious: we’d like to make it as useful for Neo4j developers, as the Spring Framework is for Java developers. The Framework aims at speeding up development with Neo4j by providing a platform for building useful generic aswell as domain-specific functionality, analytical capabilities, graph algorithms, and more.Features OverviewOn a high level, there are two key pieces of functionality, GraphAware Server and GraphAware Runtime. GraphAwareServer is a Neo4j server extension that allows developers to build (REST) APIs on top of Neo4j using Spring MVC, ratherthan...

(Big) Data Science (2013 WebExpo Talk)

23 May 2014 by Michal Bachman Neo4j Conference NoSQL

After a long wait, I finally got the opportunity to publish the recording of my graph/Neo4j talk at WebExpo Prague 2013,intentionally and somewhat misleadingly titled “(Big) Data Science”. Thanks to the organisers for making it available andsee you soon at WebExpo 2014! (Big) Data Science from bachmanm

Video from Neo4j Meetup Prague

18 Jan 2014 by Michal Bachman Neo4j Meetup

Those who missed the first official Czech Neo4j Meetup can view recording of the event below (in Czech). Thanks againto all organisers, speakers, and participants.(My slides here)

Neo4j Meetup Prague

26 Oct 2013 by Michal Bachman Neo4j Meetup

We are pleased to announce the first official Czech Neo4j Meetup on 11th November 2013 at 6pm at the Czech TechnicalUniversity in Prague. It is a free event: Anyone interested in learning about graph databases as well as those alreadyusing them are welcome to attend, listen to the talks, and join us for a beer afterwards. The talks will be in Czech.UPDATE: Recording of the event now available.Time & PlaceMonday 11th November 2013, 18:00 - 19:30</br>ČVUT, Room T9:107</br>Thákurova 9</br>160 00 Praha 6</br>Programme90% of all world’s data has been generated in the last two years. Its structure has changed and interconnectedness...

Neo4j Meetup Praha (in Czech)

25 Oct 2013 by Michal Bachman Neo4j Meetup Czech

Srdečně zveme všechny zájemce o NoSQL, grafové databáze a Neo4j na první oficiální setkání v ČR, které se koná v rámciinformatického večerana Fakultě informačních technologií ČVUT 11. listopadu 2013 v 18h. Vstup je zdarma.UPDATE: Záznam z akce zde.Místo a časPondělí 11. listopadu 2013, 18:00 - 19:30</br>ČVUT, posluchárna T9:107</br>Thákurova 9</br>160 00 Praha 6</br>Program90% všech dat na světě bylo vytvořeno v posledních dvou letech. Značně se také změnila struktura a zvýšila propojenostdat, které lidstvo generuje, zpracovává a ukládá. Důsledkem toho se zrodilo mnoho alternativ k relačním databázím,které se často souhrnně označují termínem NoSQL. Jednou ze čtyř kategorií NoSQL databází jsou tzv. grafové...

Modelling Data in Neo4j: Qualifying Relationships

24 Oct 2013 by Michal Bachman Neo4j Modelling Beginner

In the last post of our “Neo4j Modelling for Beginners” series,we looked at bidirectional relationships. In this post, we compare the implications of qualifying relationships byusing different relationship types versus using relationship properties.Properties as QualifiersLet’s say we want to model movie ratings in Neo4j. People have an option to rate a movie with 1 to 5 stars. One way ofmodelling this, and perhaps the first one that springs into mind, is creating a RATED relationship with a ratingproperty that takes on 5 different values: integers 1 though 5.Writing queries using this model is fairly straightforward in both Java and Cypher....

Modelling Data in Neo4j: Bidirectional Relationships

11 Oct 2013 by Michal Bachman Neo4j Modelling Beginner

Transitioning from the relational world to the beautiful world of graphs requires a shift in thinking about data. Althoughgraphs are often much more intuitive than tables, there are certain mistakes peopletend to make when modelling their data as a graph for the first time. In this article, we look at one common sourceof confusion: bidirectional relationships.Directed RelationshipsRelationships in Neo4j must have a type, giving the relationship a semantic meaning, and a direction. Frequently, thedirection becomes part of the relationship’s meaning. In other words, the relationship would be ambiguous without it.For example, the following graph shows that the Czech Republic DEFEATED...

Towards OLAP in Graph Databases (MSc. Thesis)

02 Oct 2013 by Michal Bachman Neo4j Analytics Advanced

I have just finished a year-long MSc. program in Computing at Imperial College London. My thesis was called GraphAware:Towards Online Analytical Processing in Graph Databases, which you can freely download. It’s not an easy, cover-to-coverread, but there might be some interesting parts, even if you don’t go through all the (over 100) pages.First of all, the overview of Neo4j architecture in Section 2.4 could be helpful for trying to understand how Neo4j worksand, in particular, how it stores its data. Section 5.1 is a good introduction to the GraphAware Framework’s architecturefor people who would like to dig deeper into it...

Introduction to Neo4j (in Czech)

14 Jan 2013 by Michal Bachman Neo4j Czech Beginner

S laskavým svolením organizátorů konference WebExpo si dovoluji veřejně zpřístupnit záznam své přednášky o Neo4j. Enjoy! WebExpo Prague 2012 - Introduction to Neo4j (Czech) from bachmanm

WebExpo Prague 2012 (in Czech)

27 Sep 2012 by Michal Bachman Neo4j Conference NoSQL Czech

Letos jsem se poprvé zúčastnil konference WebExpo a sepsal několik postřehů.Motivace Na WebExpo jsem se vydal hned z několika důvodů. Prvním impulsem byl můj kamarád Honza Šrůtek, který plánoval na konferenci přednášet už podruhé a po shlédnutí mé přednášky na Neo4j User Group v Londýně navrhnul, zda bych ji nechtěl vypilovat a rozšířit řady řečníků na WebExpo. Rychlá kontrola Googlu ukázala, že se o Neo4j v ČR zatím příliš nemluví. Za poslední rok jsem s touto open-source grafovou databází pracoval poměrně intenzivně a získal upřímné přesvědčení, že může mnoha vývojářům, kteří řeší problémy s hustě propojenými daty, významně usnadnit práci. Naposledy...