Originally created at U.C. Berkeley’s AMPLab in 2009, Apache Spark is a “lightning-fast unified analytics engine” designed for large-scale data processing. It works with cluster computing platforms ...

In theory, data lakes sound like a good idea: One big repository to store all data your organization needs to process, unifying myriads of data sources. In practice, most data lakes are a mess in one ...

In the ecosystem of big data technology, Apache Spark has become one of the most mainstream distributed computing frameworks ...

Apache Spark is one of the most popular open source projects in the world, and has lowered the barrier of entry for processing and analyzing data at scale. We asked some of the leaders in the big data ...

Don’t look now but Apache Spark is about to turn 10 years old. The open source project began quietly at UC Berkeley in 2009 before emerging as an open source project in 2010. For the past five years, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Suhail Patel joins Thomas ...

Hadoop, Spark and Kafka have already had a defining influence on the world of big data, and now there’s yet another Apache project with the potential to shape the landscape even further: Apache Arrow.

Big data adoption has been growing by leaps and bounds over the past few years, which has necessitated new technologies to analyze that data holistically. Individual big data solutions provide their ...

Overview of Core Features and Architecture of Spark 3.x Before starting practical work, we must first understand the core ...

In this annual report, the InfoQ editors discuss the current state of AI, ML, and data engineering and what emerging trends you as a software engineer, architect, or data scientist should watch. We ...