Thanks to an impressive grab bag of improvements in version 2.0, Spark's quasi-streaming solution has become more powerful and easier to manage Flink and Dataflow bring new innovations and target some ...

In Spark 2.0, DataFrames and Datasets were extended to handle real time streaming data. This not only provides a single programming abstraction for batch and streaming data, it also brings support for ...

Spark has generated huge excitement in the big data community. It has provided the path for making the speed or velocity layer of big data reality, simplified some of the gotchas of MapReduce, and ...

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 ...

The Spark streaming analytics engine is one of the most popular open source tools for weaving big data into modern applications architectures with over 800 contributors from 200 organizations. It ...

Going mainstream in the data-driven enterprise is Apache Spark, the open-source analytics engine. As prominent industries move to the Internet of Things markets and machine learning technologies to ...

At its Data + AI Summit, Databricks today made the requisite number of announcements one would expect from a company’s flagship developer event. Among those are the launch of Delta Lake 2.0, the next ...

Apache Spark has been lauded for its versatility and strengths as a distributed computing framework. It’s attractive, in part, because it can deliver analytics, do data processing, and handle machine ...

Impetus Technologies announced StreamAnalytix™ 2.0, featuring support for Apache Spark Streaming, in addition to the current support for Apache Storm. The platform will provide enterprises with the ...