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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
The Definitive Guide to Database Version Control

In the brave new world of big data and BI, the only technology constant is change. When it comes to database change, agility through automation - the ability to do more with less more rapidly to accelerate delivery – is what differentiates highly competitive, world-class enterprises from the rest of the crowd.

Uri Margalit
on Dec 04, 2014
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
The Long Journey Towards Database Lifecycle Management

Application Lifecycle Management is a standard process, but there have been obstacles to using the same practice for databases. Ben Rees, General Manager for Database Continuous Delivery at Red Gate, explains why the road ahead is now clear for Database Lifecycle Management.

Ben Rees
on Nov 23, 2014
Interview with Alex Holmes, author of “Hadoop in Practice. Second Edition”

The new “Hadoop in Practice. Second Edition” book by Alex Holmes provides a deep insight into Hadoop ecosystem covering a wide spectrum of topics such as data organization, layouts and serialization, data processing, including MapReduce and big data patterns, special structures along with their usage to simplify big data processing, and SQL on Hadoop data.

Boris Lublinsky
on Nov 20, 2014
Matt Schumpert on Datameer Smart Execution

Datameer, a big data analytics application for Hadoop, introduced Datameer 5.0 with Smart Execution to dynamically select the optimal compute framework at each step in the big data analytics process. InfoQ spoke with Matt Schumpert from Datameer team about the new product and how it works to help with big data analytics needs.

Srini Penchikala
on Nov 13, 2014
Stats Anomalies Detector

The article describes the general outline of the Stats Anomalies Detector we developed at MyHeritage and provides a detailed explanation of how to enhance the code (will be available soon at MyHeritage GitHub) to meet your company’s needs.

Yonatan Harel Ran Levy
on Nov 07, 2014
SQL Server Source Control and Deployment with Visual Studio

The holy grail of database development is the ability to treat database objects (tables, views, stored procedures, etc.) as if they were just like any other form of source code. While SQL Server Data Tools doesn’t quite that level, it gets very close.

Jonathan Allen
on Nov 04, 2014
Analytics Across the Enterprise: How IBM Realizes Business Value from Big Data and Analytics

Analytics Across the Enterprise: How IBM Realizes Business Value from Big Data and Analytics book by Brenda L. Dietrich, Emily C. Plachy, and Maureen F. Norton is a collection of experiences by analytics practitioners in IBM. InfoQ spoke with the authors about the lessons learned from the book, the arsenal of technologies IBM has about Big Data and the future of Analytics.

Alex Giamas
on Oct 27, 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

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