eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Apache Spark has been called a game changer and perhaps ...

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 ...

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 ...

Apache Spark is an execution engine that broadens the type of computing workloads Hadoop can handle, while also tuning the performance of the big data framework. Hadoop specialist Cloudera recently ...

Redis Labs is offering integration with Spark SQL, and releasing a Spark-Redis connector package that promises to accelerate processing time. Redis Labs is a commercial provider of Redis, the open ...

The rapidly changing world of data engineering has seen a significant shift with the combination of Apache Spark, Snowflake, and Apache Airflow. This trio allows organizations to build highly ...

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 ...

BERKELEY, Calif., Oct. 10 — Databricks, the company founded by the creators of popular open-source Big Data processing engine Apache Spark, announced today that it has broken the world record for the ...

A little-known startup called Hazelcast Inc. is hoping to steal some of the limelight from popular open-source projects Apache Spark and Apache Flink, launching what it claims is a faster and ...

Traditional relational databases have been highly effective at handling large sets of structured data. That’s because structured data conforms nicely to a fixed schema model of neat columns and rows ...