We’ll be using Apache Spark 2.2.0 here, but the code in this tutorial should also work on Spark 2.1.0 and above. How to run Apache Spark Before we begin, we’ll need an Apache Spark installation.

At the 2019 Spark AI Summit Europe conference, NVIDIA software engineers Thomas Graves and Miguel Martinez hosted a session on Accelerating Apache Spark by Several Orders of Magnitude with GPUs ...

In addition to a declarative syntax for defining a pipeline, Spark Declarative Pipelines also supports change data capture (CDC), batch and stream logic, built in retry logic, and observability hooks.

Apache Spark is best known as the in-memory replacement for MapReduce, the disk-based computational engine at the heart of early Hadoop clusters. That Spark kicked MapReduce out of the Hadoop nest was ...

Besides the default standalone cluster mode, Spark also supports other clustering managers including Hadoop YARN and Apache Mesos. On programming languages, Spark supports Scala, Java, Python, and R.

It’s been about three years since Apache Spark burst onto the big data scene and became one of the hottest technologies on the planet. Judging by the numbers surrounding Spark’s adoption—including ...

Reactive programming company Typesafe today released a survey that confirms the high adoption rate of Apache Spark, an open source Big Data processing framework that improves traditional Hadoop-based ...

Matei Zaharia, Apache Spark co-creator and Databricks CTO, talks about adoption patterns, data engineering and data science, using and extending standards, and the next wave of innovation in ...

The beta release of "Spark Operator" allows native execution of Spark applications on Kubernetes clusters -- no Hadoop or Mesos required.

SAN FRANCISCO, June 11, 2025 /PRNewswire/ -- Data + AI Summit -- Databricks, the Data and AI company, today announced it is open-sourcing the company's core declarative ETL framework as Apache Spark™ ...