Find out what's new in the Neo4j world
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 maximize the number of organizations and people you can reach. This means it is important to ensure your software is internationalized and localized.
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.
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”.
A great part of the world’s knowledge is stored using text in natural language, but using it in an effective way is still a major challenge. Natural Language Processing (NLP) techniques provide the basis for harnessing this huge amount of data and converting it into a useful source of knowledge for further processing.
In our previous blog post we introduced the concept of Graph Aided Search. It refers to a personalised user experience during search where the results 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.
At GraphAware, we live and breathe Neo4j. For three years, we have been helping customers around the world embrace this amazing technology as a solution to many interesting problems. Mainstream applications of graphs, such as real-time recommendations, fraud detection, impact analysis, and graph-aided search, have been getting a lot of media attention.
As of version 2.1, Neo4j OGM will support persistence events. Although a date for the release of 2.1 isn’t known at the time of writing, we think this is an important and exciting new feature and so we’ll be writing a series of posts about it over the next few weeks to whet your appetites. In this first post we’ll take a quick tour of the new Events mechanism in the OGM, and provide some examples of how we might use it in our own applications. But first, some background…
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.
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