Big data refers to datasets that are too large, complex, or fast-changing to be handled by traditional data processing tools. It is characterized by the four V's: Big data analytics plays a crucial ...

Apache Spark is arguably the hottest big data technology of the year — or maybe ever. More than 1000 enthusiasts have committed code to the open source project and almost every big data provider has ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...

Apache Spark with Java 8 is proving to be the perfect match for Big Data. Spark 1.0 was just released this May, and it’s already surpassed Hadoop in popularity on the Web. Java 8, the latest version, ...

At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...

Matei Zaharia, an assistant professor of computer science at MIT and the initial creator of Apache Spark, took the stage at Strata 2014 to speak about the Spark open source project and about the way ...

SAN JOSE, Calif.--(BUSINESS WIRE)--MapR Technologies, Inc., provider of the industry’s only converged data platform, announced today at Spark Summit a new enterprise-grade Apache Spark distribution.

The advent of scalable analytics in the form of Hadoop and Spark seems to be moving to the end of the Technology Hype Cycle. A reasonable estimate would put the technology on the “slope of ...

Apache Spark brings high-speed, in-memory analytics to Hadoop clusters, crunching large-scale data sets in minutes instead of hours Apache Spark got its start in 2009 at UC Berkeley’s AMPLab as a way ...