AI/ML

There’s a whole host of GUI tools to connect to MongoDB databases and browse, however despite a steeper learning curve, I’ve always found myself more productive using a command line interface (CLI). Then, there’s that moment when something has gone wrong on the database server, and we need to SSH 4-levels deep in order to debug a problem with a database. Sometimes, there’s no other option available, and this makes familiarity with the CLI invaluable. I learn best by example...

At DevNation, Red Hat's Galder Zamarreño gave a talk with a live demo, Building reactive applications with Node.js and Red Hat JBoss Data Grid. The demo consisted of building an event-based three tier web application using JBoss Data Grid (JDG) as the data layer, an event manager running on Node.js, and a web client. Recently, support for Node.js clients was added to JDG, opening up the performance of a horizontally scalable in-memory data grid, to reactive web and mobile applications...

A few days ago I had a rant about the misuse and misunderstanding of REST (typically HTTP) for microservices. To summarize, a few people/groups have been suggesting that you cannot do asynchronous interactions with HTTP, and that as a result of using HTTP you cannot break down a monolithic application into more agile microservices. The fact that most people refer to REST when they really mean HTTP is also a source of personal frustration, because by this stage experienced people...

Containerizing things is particularly popular these days. Today we'll talk about the idioms we can use for containerization, and specifically play with apache spark and cassandra in our use case for creating easily deployed, immutable microservices. Note: This post is done using centos7 as a base for the containers, but these same recipes will apply with RHEL and Fedora base images. There are a few different ways to build a container. For example, for beginners, you can build a container...

Agility is the key for benefiting from the use of Big Data for operational excellence and improved profitability. Ovum Research finds that organizations that take an iterative approach to refining analytic models, consolidating data sources, and transitioning to the cloud, tend to find more success with Big Data. Attend this webinar to learn how to: Consolidate your data sources Build open, flexible Big Data ecosystems Find success with Big Data Register for this webinar to learn proven methods on how...

Abstract: Historically, the term "Hadoop" has been considered synonymous with its core technologies: MapReduce and the Hadoop Distributed File System (HDFS). But today the definition of Hadoop is rapidly evolving. The Hadoop community is generalizing the application runtime model beyond MapReduce. On the storage front, we're seeing the emergence of many alternative Hadoop-compatible file systems. Red Hat has built an interface layer for its Red Hat Storage Server product. This complete implementation of the Hadoop file system interface lets Hadoop-related...