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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
AI, ML & Data Engineering

High Tech, High Sec.: Security Concerns in Graph Databases

Graph NoSQL databases support data models with connected data and relationships. In this article, author discusses the security implications of graph database technology. He talks about the privacy and security concerns in use cases like graph discovery, knowledge management, and prediction.

George Hurlburt
on May 23, 2015
Full Stack Web Development Using Neo4j

When building a web application there are a lot of choices for the database. In this article, author discusses why Neo4j Graph database is a good choice as a data store for your web application if your data model contains lot of connected data and relationships.

Brian Underwood
on May 21, 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
AI, ML & Data Engineering

Big Data Processing with Apache Spark – Part 1: Introduction

Apache Spark is an open source big data processing framework built around speed, ease of use, and sophisticated analytics. In this article, Srini Penchikala talks about how Apache Spark framework helps with big data processing and analytics with its standard API. He also discusses how Spark compares with traditional MapReduce implementation like Apache Hadoop.

Srini Penchikala
on Jan 30, 2015
Building a Mars Rover Application with DynamoDB

DynamoDB is a NoSQL database service that aims to be easily managed, so you don't have to worry about administrative burdens such as operating and scaling. This article shows how to use Amazon DynamoDB to create a Mars Rover application. You can use the same concepts described in this post to build your own web application.

Daniela Miao Kenta Yasukawa
on Jan 25, 2015
Apache Ignite GridGain Incubator Project - Q&A Interview with Nikita Ivanov

GridGain announced that the In-Memory Data Fabric has been accepted into Apache Incubator program as Apache Ignite. InfoQ spoke with Nikita Ivanov about their product becoming part of Apache.

Srini Penchikala
on Dec 03, 2014
How to Effectively Map SQL Data to a NoSQL Store

Sytze Harkema explains how to save and retrieve relational SQL data into a NoSQL key-value store as implemented by FoundationDB, an open source, scalable, fault tolerant and ACID database.

Sytze Harkema
on Oct 23, 2014
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
Let Me Graph That For You

In this article on Graph Databases, author Ian Robinson discusses the problems Graph DBs aim to solve. He also talks about the data, storage, and query models for managing variably structured, densely connected data.

Ian Robinson
on Sep 29, 2014
Aerospike NoSQL Database Architecture

Aerospike is an open source distributed Key-Value NoSQL database. It supports flexible data schemas and ACID transactions. InfoQ spoke with Brian Bulkowski, Aerospike co-founder and CTO, about the NoSQL database architecture, advantages and its limitations.

Srini Penchikala
on Sep 25, 2014
Nikita Ivanov on GridGain’s In-Memory Accelerator for Hadoop

GridGain recently announced the In-Memory Accelerator for Hadoop, offering the benefits of in-memory computing to Hadoop based applications. It includes two components: an in-memory file system and a MapReduce implementation. InfoQ spoke with Nikita Ivanov, CTO of GridGain about the architecture of the product.

Srini Penchikala
on Sep 08, 2014