With the rise of social networks and people having more free time due to isolation, it has become popular to see lots of maps and graphs. These are made using big spatial data to explain how COVID-19 is expanding, why it is faster in some countries, and how we can stop it.
Continue reading Working with big spatial data workflows (or, what would John Snow do?)
Red Hat Data Grid helps applications access, process, and analyze data at in-memory speed. Red Hat Data Grid 8.0 is included in the latest update to Red Hat Runtimes, providing a distributed in-memory, NoSQL datastore. This release includes a new Operator for handling complex applications, a new server architecture that reduces memory consumption and increases security, a faster API with new features, a new CLI, and compatibility with a variety of observability tools.
Continue reading Red Hat Data Grid 8.0 brings new server architecture, improved REST API, and more
Most programs need data in order to work. Sometimes this data is provided to the program when it runs, and sometimes the data is built into the program. In this article, I’ll explain how to store large amounts of data inside a program so that it is there when the program runs.
Continue reading “How to store large amounts of data in a program”
Cloudera Impala is a tool to rapidly query Hadoop data in HBase or HDFS using SQL syntax. You can use Red Hat JBoss Data Virtualization to query that same data via Impala to take advantage of its optimization. You can also combine that data with other data sources in real time. The goal of this guide is to import data from a Cloudera Impala instance, manipulate it, and then expose that data as a data service. This guide includes access to a repository with example scripts, creating a custom base and view model, exposing it as a data service, and finally consuming that data via REST. This is a peer article to Unlock Your Cloudera Data with Red Hat JBoss Data Virtualization.
Continue reading “JBoss Data Virtualization: Integrating with Impala on Cloudera”
After Unlock your Hadoop data with Hortonworks and Red Hat JBoss Data Virtualization episode, let’s continue the journey with another “Apache Hadoop” episode of the series: “Unlock your [….] data with Red Hat JBoss Data Virtualization.” Through this blog series, we will look at how to connect Red Hat JBoss Data Virtualization (JDV) to different and heterogeneous data sources.
Continue reading “Unlock Your Cloudera Data with Red Hat JBoss Data Virtualization”
Recently, the focus on the continuous delivery of value has created a lot of interest in microservices, CI/CD, and containers. The idea is that microservices are small and well defined enough to enable rapid innovation, automated testing, and frequent deployments with minimal risk. This is made possible by adopting continuous integration and continuous delivery pipelines. CI/CD requires the ability to quickly, easily, reliably, and automatically create and tear down complete execution environments. Linux containers address this need by creating lightweight, portable, and isolated runtime environments. It becomes easy to reach the conclusion that the path to digital transform is continuous value delivery via microservices-based on containers and CI/CD.
Continue reading “Achieving Deployment Excellence with Red Hat OpenShift.io”
Part II of the OpenShift.io Developer Tools overview follows on the heels of the introduction session, this time presented by Pete Muir and Gorkem Ercan. In this session, we are taken through the integrated OpenShift.io Eclipse Che IDE.
Continue reading “OpenShift.io Developer Tools Overview – Summit 2017 – The Power of Cloud Workspaces – Part 2”
Yesterday, at Red Hat Summit, Red Hat announced OpenShift.io. OpenShift.io is the next generation OpenShift platform, based on OpenShift 3, for building and running applications in the cloud. It gives you complete control of your application’s lifecycle, from build to production– regardless of deploying from source or running a pre-built container.
Continue reading “OpenShift.io The Gathering – Summit 2017 – Developer Tools, Overview and Roadmap Part I”