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Graph data standardization: It’s just a graph, making gravitational waves in the real world
AWS, Google, Neo4j, Oracle. These were just some of the vendors represented in the W3C workshop on web standardization for…
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A rock and a hard place: Between ScyllaDB and Cassandra
How many NoSQL databases does the world really need, and how easily would you switch…
Sparkier, faster, more: Graph databases, and Neo4j, are moving on
New players, new features, platforms, and ticking boxes. Let’s talk graph with Neo4j. A lot…
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Keep on Uberin the free world
Uber is still operating in London, in you case you did not notice. Uber will…
Data lakes going the way of the visual spreadsheet?
If you’re a spreadsheet kind of person with a ton of data sitting in a…
TigerGraph, a graph database born to roar
Imagine your database of choice blown out of the water by a startup emerging from…
Kafka gets SQL with KSQL
Apache Kafka is a key component in data pipeline architectures when it comes to ingesting…
CatBoost Machine Learning framework from Yandex boosts the range of AI
This is the year artificial intelligence (AI) was made great again. AI is all about…
Artificial intelligence on Hadoop: Does it make sense?
MapR just announced QSS, a new offering that enables the training of complex deep learning…
Caffe2: Deep learning with flexibility and scalability
As the AI landscape continues to evolve, a new version of the popular Caffe open…
