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

    by George Hurlburt on  May 23, 2015

    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.

  • Full Stack Web Development Using Neo4j

    by Brian Underwood on  May 21, 2015

    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.

  • Shaping Big Data Through Constraints Analysis

    by Carlos Bueno on  May 12, 2015

    In this article, author Carlos Bueno describes a method for analyzing constraints on the shape and flow of data in systems. He talks about the factors useful for system analysis like working set & average transaction sizes, request & update rates, consistency, locality, computation, and latency. He also discusses big data architecture details of two use cases, movie streaming and face recognition.

Big Data Processing with Apache Spark - Part 2: Spark SQL

Posted by Srini Penchikala on  Apr 16, 2015

Spark SQL, part of Apache Spark, is used for structured data processing by running SQL queries on Spark data. Srini Penchikala discusses Spark SQL module & how it simplifies data analytics using SQL. 1

Metadata-Driven Design: Designing a Flexible Engine for API Data Retrieval

Posted by Aaron Kendall on  Apr 13, 2015

Bulk data is usually accessed via files & FTP. As collaboration migrates to APIs, what are the requirements for data APIs? Here we describe a meta-data driven architecture for bulk data ingestion.

Highly Distributed Computations Without Synchronization

Posted by Christopher Meiklejohn on  Feb 17, 2015

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. 1

Big Data Processing with Apache Spark – Part 1: Introduction

Posted by Srini Penchikala on  Jan 30, 2015

Apache Spark is an open source big data framework built around speed, ease of use, and sophisticated analytics. In this article, Srini Penchikala discusses how Spark helps with big data processing. 3

Building a Mars Rover Application with DynamoDB

Posted by Daniela Miao, Kenta Yasukawa on  Jan 25, 2015

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. 1

The Definitive Guide to Database Version Control

Posted by Uri Margalit on  Dec 04, 2014

When it comes to database change, agility through automation - the ability to rapidly to accelerate delivery – is what differentiates world-class enterprises from the rest of the crowd. 4

Apache Ignite GridGain Incubator Project - Q&A Interview with Nikita Ivanov

Posted by Srini Penchikala on  Dec 03, 2014

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.

The Long Journey Towards Database Lifecycle Management

Posted by Ben Rees on  Nov 23, 2014

Application Lifecycle Management has traditionally been difficult for databases. Ben Rees, explains why the road ahead is now clear for Database Lifecycle Management.

Interview with Alex Holmes, author of “Hadoop in Practice. Second Edition”

Posted by Boris Lublinsky on  Nov 20, 2014

The new “Hadoop in Practice. 2 Edition" book by Alex Holmes covers a lot of topics building Hadoop code and organizing data to support code simplicity and execution speed.

General Feedback
Bugs
Advertising
Editorial
Marketing
InfoQ.com and all content copyright © 2006-2015 C4Media Inc. InfoQ.com hosted at Contegix, the best ISP we've ever worked with.
Privacy policy
BT