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 ...

Yeah, Spark is still hot. It's seeing tremendous growth in contributing developers, user roles, applications, usage cases and just about every other Big Data metric you can think of, according to a ...

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 ...

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 ...

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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 ...

AtScale, a maker of big data reporting tools, has published speed tests on the latest versions of the top four big data SQL engines. Conclusion: Time to upgrade! Today AtScale released its Q4 ...