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 ...

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 ...

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 ...

Apache Spark, the widely used open source cluster computing framework featuring a general processing engine for Big Data analytics, has reached version 2.0, the Apache Software Foundation (ASF) ...

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 ...

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 ...

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 ...

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 ...