The same team that created GemFire builds on Spark in a new open source database that can analyze OLTP and OLAP workloads side-by-side The team behind Pivotal’s GemFire in-memory transactional data ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Apache Spark, the extremely popular data analytics execution engine, was initially released in 2012. It wasn’t until 2015 that Spark really saw an uptick in support, but by November 2015, Spark saw 50 ...

Editor’s Note: Vaibhav Nivargi is the founder and chief architect of ClearStory Data, a data analytics service provider. This week the fast-growing Apache Spark community is gathering in New York City ...

You probably did not hear it here first. Spark has been making waves in big data for a while now, and 2017 has not disappointed anyone who has bet on its meteoric rise. That was a pretty safe bet ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

Enterprise software development and open source big data analytics technologies have largely existed in separate worlds. This is especially true for developers in the Microsoft .NET ecosystem. The ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

There is more to big data than Hadoop, but the trend is hard to imagine without it. Its distributed file system (HDFS) is helping businesses to store unstructured data in vast volumes at speed, on ...

What’s the difference between SPARK 2014 and Apache Spark? Actually, the answer is quite easy. SPARK 2014 is a programming environment based on the Ada programming language. Apache’s open-source SPARK ...