Big Data: Understanding the variety, volume, and velocity behind data

Gather the data you collect into real-time information you can use to optimize your workflow and secure your environment.

Big Data resources

Featured image for "Game telemetry with Kafka Streams and Quarkus, Part 1."

Game telemetry with Kafka Streams and Quarkus, Part 2

August 31, 2021

Analyze real-time game telemetry using Kafka Streams, Red Hat OpenShift Streams for Apache Kafka, and the Developer Sandbox for Red Hat OpenShift.

Wait for Kafka Connect to become available

Change data capture with Debezium: A simple how-to, Part 1

May 8, 2020

Learn how to build a change data capture solution using Debezium and Apache Kafka within an OpenShift environment.


First steps with the data virtualization Operator for Red Hat OpenShift

January 21, 2020

We provide a step-by-step visual tutorial describing how to create a simple virtual database using Red Hat Integration's data virtualization Operator.


How to store large amounts of data in a program

July 5, 2019

We explain how to include large data files into the body of an executable program so that it's there when the program runs.

Vert.x in action

Upcoming Book: Vert.x in Action (MEAP)

Julien Ponge
November 14, 2018

Julien Ponge's upcoming book, Vert.x in Action: Asynchronous and Reactive Applications in Java, is now available from the Manning early-access program (MEAP). Read the article for the exclusive Red Hat Developer discount code.


Reducing data inconsistencies with Red Hat Process Automation Manager

August 22, 2018

Managing data reconciliation is necessary for Digital Process Automation (Business Process Management). This article shows how Red Hat Process Automation Manager can be used to address such a requirement in a structured and clean way.

More big data resources

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