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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 Alvaro A. Cárdenas Pratyusa K. Manadhata
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
ActiveJPA – Active Record Pattern for JPA

ActiveJPA is a Java implementation of Martin Fowler’s Active Record pattern that wraps around JPA and provides useful abstractions to simplify data access. With ActiveJPA, models themselves act as a DAO and interact with the database without requiring additional code for the DAL. In this article the primary committer discusses ActiveJPA and provides plenty of usage examples.

Ganesh Subramanian
on Jan 22, 2014
Interview with Raffi Krikorian on Twitter's Infrastructure

Raffi Krikorian, Vice President of Platform Engineering at Twitter, gives an insight on how Twitter prepares for unexpected traffic peaks and how system architecture is designed to support failure.

Xuefeng Ding
on Jan 19, 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
Building a Real-time, Personalized Recommendation System with Kiji

Jon Natkins explains in this article how to create a personalized recommendation system fed with large amounts of real-time data using Kiji, which leverages HBase, Avro, Map-Reduce and Scalding.

Jon Natkins
on Dec 26, 2013
Cassandra CLI Internals Using JArchitect

Cassandra CLI is a useful tool for Cassandra administrators. It's a good example of how to implement a Cassandra client and CLI internals help us to develop custom Cassandra clients or even extend the CLI tool. In this article, author explores Cassandra CLI architecture model using JArchitect tool and CQLinq language to analyze its code base.

Dane Dennis
on Dec 19, 2013
Don’t jump the SQL ship just yet

The SQL language has been evolving steadily over the last two decades. At the same time, the verbosity caused by the JDBC API in Java client code and the lack of first class SQL support within the Java language have led to the introduction of ORMs such as Hibernate, which was later standardised into JPA and the Criteria API.If SQL and JPA are diverging, where will our data interaction patterns go?

Lukas Eder
on Dec 18, 2013
Building a RESTful Web Service with Spring Boot to Access Data in an Aerospike Cluster

Spring Boot allows you to build Spring based applications with little effort on your part. Aerospike is a distributed and replicated in-memory database that is ACID compliant. This article will take you through creating a simple RESTful web service with Spring Boot and Aerospike.

Peter Milne
on Nov 28, 2013
Agility, Big Data, and Analytics

How do you bringing agility into big data analytics? Learn what makes analytics uniquely different than application development, and how to adapt agile principles and practices to the nuances of analytics. Examine how the disciplines of data science and software development complement one another, and how these intersect in an agile project environment.

Ken Collier
on Nov 27, 2013

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