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Java

Simplifying Persistence Integration with Jakarta EE Data

Jakarta Data streamlines Java enterprise data integration. Supporting various databases, it boosts productivity, is open-source, and community-driven. GitHub offers hands-on experience for modernizing enterprise architectures.

Otavio Santana
on Oct 04, 2023
AI, ML & Data Engineering

Beyond the Database, and beyond the Stream Processor: What's the Next Step for Data Management?

Databases have been around forever with the same shape: you make a request to your data and then you receive an answer. Now, stream processors came along with a different approach: data isn’t locked up, it is in motion. Understand how stream processors and databases relate and why there is an emerging new category of databases that focus on data that stays in place as well as data that moves.

Ben Stopford
on Nov 16, 2020
Development

14 Things I Wish I’d Known When Starting with MongoDB

I’ve been a database person for an embarrassing length of time, but I only started working with MongoDB recently. When I was starting out with MongoDB, there are a few things that I wish I’d known about. With general experience, there will always be preconceptions of what databases are and what they do. In hopes of making it easier for other people, here is a list of common mistakes.

Phil Factor
on Sep 13, 2018
Architecture & Design

A Critique of Resizable Hash Tables: Riak Core & Random Slicing

This fall, Wallaroo Labs will be releasing a large new feature set to our distributed data stream processing framework, Wallaroo. One of the new features requires a size-adjustable, distributed data structure to support growing & shrinking of compute clusters. It might be a good idea to use a distributed hash table to support the new feature, but what distributed hash algorithm should we choose?

Scott Lystig Fritchie
on Aug 26, 2018
AI, ML & Data Engineering

Virtual Panel: Current State of NoSQL Databases

NoSQL databases have been around for several years now and have become a choice of data storage for managing semi-structured and unstructured data. These databases offer lot of advantages in terms of linear scalability and better performance for both data writes and reads. InfoQ spoke with four panelists to get different perspectives on the current state of NoSQL databases.

Srini Penchikala
on Aug 02, 2016
AI, ML & Data Engineering

Key Lessons Learned from Transition to NoSQL at an Online Gambling Website

In this article, author Dan Macklin discusses the transition to Riak NoSQL and Erlang based architecture coupled with Convergent Replicated Data Types (CRDTs) and lessons learned with the transition.

Dan Macklin
on Nov 21, 2015
DevOps is Not a Feature!

DevOps is the industrialization of IT, says Nati Shalom. Organizations that wish to optimize for speed and cost cannot afford silos anymore."Doing DevOps" is not adding new features to existing tools. In this article, Shalom takes us through the differences between management solutions in a pre and post DevOps world.

Nati Shalom
on May 24, 2015
Highly Distributed Computations Without Synchronization

Synchronization of data across systems is expensive and impractical when running systems at scale. Traditional approaches for performing computations or information dissemination are not viable. In this article Basho Sr. Software Engineer Chris Meiklejohn explores the basic building blocks for crafting deterministic applications that guarantee convergence of data without synchronization.

Christopher Meiklejohn
on Feb 17, 2015
A Rails Enthusiast’s take on MEAN.js

John looks at AngularJS and the MEAN stack as an alternative to Ruby on Rails as a productive stack for building typical web applications.

John Troxel
on Oct 03, 2014
Apache CouchDB: The Definitive Introduction

Apache CouchDB is an open source document NoSQL database that uses JSON for storing documents. In this article, Jan Lehnardt gives an overview of CouchDB, its architecture and what problems it aims to solve and why it is different from all other databases.

Jan Lehnardt
on Aug 28, 2014
Preparing for Your First MongoDB Deployment: Backup and Security

This article we focuses on the database backup tools and security policies when deploying MongoDB NoSQL databases. Topics like cloud backups with MongoDB Management Service (MMS), authentication, and authorization are covered.

Mat Keep
on Jan 05, 2014
Preparing for Your First MongoDB Deployment: Capacity Planning and Monitoring

In this article, author Mat Keep discusses the deployment best practices of MongoDB databases with focus on capacity planning and monitoring aspects. He also explains the topics like hardware selection, key metrics for monitoring and when it’s time to add shards.

Mat Keep
on Oct 08, 2013