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 ...

For data scientists looking to apply Apache Spark’s advanced analytics techniques and deep learning models at scale, Databricks is happy to provide The Data Scientist's Guide to Apache Spark. Download ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

The latest in big data technology was on display in New York last week at the Strata + Hadoop World big data conference and exposition. Some of the more than 160 exhibiting vendors unveiled new ...

GridGain Systems, provider of open source and commercial in-memory data fabric solutions, is introducing a new release of the GridGain In-Memory Data Fabric Enterprise Edition built on Apache Ignite.

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 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 ...

COLLEGE PARK, Md.--(BUSINESS WIRE)--Immuta today unveiled new features of its data management platform, including native Apache SparkSQL policy enforcement and automated governance reporting. These ...

Looking to dive deeper into the more cutting edge machine learning use cases in Apache Spark? To successfully use Spark’s advanced analytics capabilities including large scale machine learning and ...