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Apache Kafka: Next Generation Distributed Messaging System

Apache Kafka is a distributed publish-subscribe messaging system. This article covers the architecture model, features and characteristics of Kafka framework and how it compares with traditional messaging systems.

Abhishek Sharma
on Jun 04, 2014
Data Modeling in Graph Databases: Interview with Jim Webber and Ian Robinson

Data modeling with Graph databases requires a different paradigm than modeling in Relational or other NoSQL databases like Document databases, Key Value data stores, or Column Family databases. InfoQ spoke with Jim Webber and Ian Robinson about data modeling efforts when using Graph databases.

Srini Penchikala
on May 24, 2014
Restify and Mobilize Your Data

Val Huber explains creating a RESTful API from an existing database schema, extending the API to define multi-table hierarchical resources, and adding behavior using declarative reactive expressions.

Val Huber
on May 21, 2014
Database Continuous Delivery

The database creates a real challenge for automation, hence participation in continuous processes. Scripting database objects change-scripts into traditional version or using 'compare & sync' tools is either an inefficient or risky thing to automate, as the two concepts are unaware of the other. A better solution needs to be implemented in the shape of Continuous Delivery and DevOps for database.

Yaniv Yehuda
on May 08, 2014
MLConf NYC 2014 Highlights

The MLConf conference was going strong in NYC on April 11th and was a full day packed with talks around Machine Learning and Big Data, featuring speakers from many prominent companies.

Charles Menguy
on Apr 17, 2014
NoSQL, JSON, and Time Series Data Management: Interview with Anuj Sahni

Time series data management is gaining more attention lately because the data is coming at us from all directions: sensors, mobile devices, Web tracking, financial events, factory automation, and utilities. InfoQ spoke with Anuj Sahni, Principal Product Manager at Oracle about the time series data and how to do data modeling for this type of data.

Srini Penchikala
on Mar 26, 2014
SQL Server 2014: NoSQL Speeds with Relational Capabilities

For the last four years Microsoft has been working on the first rewrite of SQL Server’s query execution since 1998. The goal is to offer NoSQL-like speeds without sacrificing the capabilities of a relational database. At the heart of this is Hekaton, their memory optimized tables. While still accessible via traditional T-SQL operations, internally they are a fundamentally different technology.

Jonathan Allen
on Mar 19, 2014
Lambda Architecture: Design Simpler, Resilient, Maintainable and Scalable Big Data Solutions

Lambda Architecture proposes a simpler, elegant paradigm designed to store and process large amounts of data. In this article, author Daniel Jebaraj presents the motivation behind the Lambda Architecture, reviews its structure with the help of a sample Java application.

Daniel Jebaraj
on Mar 12, 2014
Embedded Analytics and Statistics for Big Data

This article provides an overview of tools and libraries available for embedded data analytics and statistics, both stand-alone software packages and programming languages with statistical capabilities. The authors also discuss how to combine and integrate these embedded analytics technologies to handle big data.

Christof Ebert Panos Louridas
on Feb 23, 2014
Big Data Analytics for Security

In this article, authors discuss the role of big data and Hadoop in security analytics space and how to use MapReduce to efficiently process data for security analysis for use cases like Security Information and Event Management (SIEM) and Fraud Detection.

Sreeranga P. Rajan Pratyusa K. Manadhata Alvaro A. Cárdenas
on Feb 11, 2014
The Secrets of Database Change Deployment Automation

Yaniv Yehuda looks at the challenges involved in automating database deployments and offer suggestions based on Agile and DevOps concepts.

Yaniv Yehuda
on Feb 07, 2014
Building Applications With Hadoop

When building applications using Hadoop, it is common to have input data from various sources coming in various formats. In his presentation, “New Tools for Building Applications on Apache Hadoop”, Eli Collins overviews how to build better products with Hadoop and various tools that can help, such as Apache Avro, Apache Crunch, Cloudera ML and the Cloudera Development Kit.

Roopesh Shenoy
on Jan 30, 2014