Apache Spark has become the de facto standard for processing data at scale, whether for querying large datasets, training machine learning models to predict future trends, or processing streaming data ...

Apache Spark is the tech du jour in Big Data right now. Its ability to provide speedy performance against huge volumes of data has made such a splash that some people are even beginning to question ...

A Spark application contains several components, all of which exist whether you’re running Spark on a single machine or across a cluster of hundreds or thousands of nodes. Each component has a ...

Apache Spark and Apache Hadoop are both popular, open-source data science tools offered by the Apache Software Foundation. Developed and supported by the community, they continue to grow in popularity ...

Databricks Inc., the primary commercial steward behind the popular open source Apache Spark data processing framework for Big Data analytics, published a new report indicating the technology is still ...

Apache Spark rose to prominence within the Hadoop world as a faster and easier to use alternative to MapReduce. But as fast as Spark is today, it won’t hold a candle to future versions of Spark that ...

Finding insight in oceans of data is one of enterprises’ most pressing challenges, and increasingly AI is being brought in to help. Now, a new tool for Apache Spark aims to put machine learning within ...

DataStax says the latest version of its Apache Cassandra NoSQL database puts the focus on analytics, offering for the first time in-memory processing via the Apache Spark open-source engine. The use ...

Spark Declarative Pipelines provides an easier way to define and execute data pipelines for both batch and streaming ETL workloads across any Apache Spark-supported data source, including cloud ...