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.

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 ...

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.

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 ...

Snowflake Inc. (NYSE:SNOW) launched Snowpark Connect to address long-standing challenges associated with Spark Connector, ...

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™ ...