Databases

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Article

What's new in Red Hat Enterprise Linux 9.4?

Nikhil Mungale

Red Hat Enterprise Linux (RHEL) 9.4 is now generally available (GA). Learn about the latest enhancements that improve the developer experience.

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Red Hat Developer Hub

An enterprise-grade, open developer platform for building developer portals, containing a supported and opinionated framework.
Red Hat Developer Hub helps reduce friction and frustration for engineering teams while boosting their productivity
and increasing their organization's competitive advantages.

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Article

Modernization: Managing data during the process

Yashwanth Maheshwaram +1

Data refactoring unlocks the potential for adaptable, resilient applications. Consider these techniques when migrating monolithic applications to microservices.

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Red Hat Developer Hub

An enterprise-grade, open developer platform for building developer portals, containing a supported and opinionated framework.
Red Hat Developer Hub helps reduce friction and frustration for engineering teams while boosting their productivity
and increasing their organization's competitive advantages.

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Article

Getting started with MongoDB and Quarkus

Hans-Peter Grahsl

Explore the basics of using MongoDB and Quarkus to write cloud-native Java applications and extensions that simplify deploying containerized apps on Kubernetes.

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Cheat Sheet

MongoDB Cheat Sheet

Bob Reselman

Learn basic commands for using MongoDB, a NoSQL, document-centric database that makes it easy to build scalable web applications.

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Article

Red Hat open source databases in beta: Adds PostgreSQL 10, MongoDB 3.6; updates MySQL 5.7

Mike Guerette

Red Hat open source databases in beta: Adds PostgreSQL 10, MongoDB 3.6; updates MySQL 5.7 - Twice a year, Red Hat distributes new versions of compiler toolsets, scripting languages, open source databases, and/or web tools, etc. so that application developers will have access to the latest, stable versions. These Red Hat supported offerings are packaged as Red Hat Software Collections.

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Deploying Oracle databases in Linux containers

Red Hat Developer Program

This is a demonstration of Oracle databases being deployed with Red Hat Enterprise Linux using Linux containers. The demo also goes into comparing container deployments to more traditional bare-metal and virtual machine deployment scenario and discusses the benefits. See how Red Hat Enterprise Linux enables your database environments to stay both flexible and current by utilizing Linux container technologies for deploying Oracle 11gR2 on RHEL 6, Oracle 12c on RHEL 6, and Oracle 12c on RHEL 7.

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Efficient top-k query processing on distributed column family databases: by Rui Vieira

Red Hat Developer Program

Ranking queries are one of the central topics in the field of Information Retrieval with considerable applications in fields such as analytics. One of the challenges is to provide solutions which can be adapted to distributed data sources, specifically NoSQL distributed column-oriented databases, and comply to "user" real-time constraints, especially when dealing with massive amounts of data. In this talk, we discuss the implementation and challenges for some of the most promising algorithms to address these challenges. We also analyse their scalability and substantial gains in terms of bandwidth and execution time, as indicated by the experimental results."

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Manage your Mongo Databases in RHMAP with Mongo Express

Emilio Rodriguez

Red Hat Mobile Application Platform (RHMAP) supports an agile approach to developing, integrating, and deploying enterprise mobile applications. Most likely, your mobile apps will include one or more cloud apps which will require persistence support such as a Mongo Database. But managing databases is not always easy, as command line support for this databases is complex and not always available. To ease this pain, Mongo Express can be used as an database GUI. For the mongo databases in your cloud...

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Installing MongoDB on Red Hat Enterprise Linux

Hemant Jain

MongoDB has evolved into one of the most popular open source "NoSQL" databases—so-called because they dispense with the tabular storage schema of relational databases like MySQL and Postgres. NoSQL databases offer a variety of advantages in many cases The biggest advantage is that MongoDB databases don't require developers to define schemas before adding data to a database. Instead, they use a flexible document-based model, similar to Python dictionaries or Ruby hashes. With MongoDB, you don't need to spend time creating...