Blogs

2013 Highlights: Big Data and Analytics

Happy Holidays to the information management community from the IBM Data magazine staff

IBM Data magazine continued to successfully execute its mission bringing high-quality content to the information management community in 2013. The thought leadership, best practices, strategies, tools, and technologies that apply to big data, analytics, databases, governance, information strategy, and other areas are having a tremendous impact on today's enterprises and organizations in the era of big data.

IBM Data magazine was even recently recognized by HadoopSphere.com as a top 2013 big data influencer along with several other IBM channels delivering content focused specifically on big data. This industry recognition would not have been possible without the outstanding contributed content from our extensive team of subject-matter experts.

As 2013 draws to a close, maybe you want to revisit that article on optimizing a data warehouse for analytics, or maybe you want to catch up on an installment from one of the regular columnists. During the final two weeks of December 2013, IBM Data magazine offers compilations of selected highlights for a look back at some of this year's coverage. This installment provides the following highlights of postings focused on big data, data warehousing, and analytics. Look for more highlights featuring database technologies and information governance in another December posting. And as always, please share any thoughts, suggestions, or questions in the comments.

Feature highlights

 

Big Data and the Evolving Role of Governance   Big Data and the Evolving Role of Governance
January 2013
By Sunil Soares
How data governance leads and data stewards can embrace and
extend the role of big data in their organizations
 
Is the Data Warehouse Dead? Is the Data Warehouse Dead?
May 2013
By Andrew Foo
The role of the data warehouse in the big data era
 
5 Steps for Migrating Data to IBM DB2 with BLU Acceleration 5 Steps for Migrating Data to IBM DB2 with BLU Acceleration
June 2013
By Mohankumar Saraswatipura – IBM Champion
Easily optimize data from an existing data warehouse for big data analytics
 
Big Data and the Internet of Everything Big Data and the Internet of Everything
June 2013
By Alex Philip
A brave new world of possibilities
 
Three Data Categories Likely Missing In Your Data Warehouse Three Data Categories Likely Missing in
Your Data Warehouse

June 2013
By David Mould
Both data warehouse managers and data scientists should jointly
evaluate these potential sources of useful predictors
 
Data Warehouse Testing – Part 1 Data Warehouse Testing – Part 1
July 2013
By Wayne Yaddow
Conducting end-to-end testing and quality assurance for data warehouses
 
Data Warehouse Testing – Part 2 Data Warehouse Testing – Part 2
July 2013
By Wayne Yaddow
Enriching data warehouse testing with checklists
 
Easing the Heavy Lifting of Bulk Data Processing Easing the Heavy Lifting of Bulk Data Processing
July 2013
By David Birmingham – IBM Champion
Generate SQL from a template, and voilà! Portable cross-database references
 
Cooking Up a Hadoop Implementation Cooking Up a Hadoop Implementation
September 2013
By Sachin Ghai
A recipe for deploying a Hadoop technology stack in four to six months

 

Column highlights

Big Data
Big Data Doesn't Require a Big Idea   Why Big Data Doesn't Require a Big Idea
January 2013

By Tom Deutsch
Bigger isn’t better when choosing your first big data project

 
Why Is Schema on Read So Useful? Why Is Schema on Read So Useful?
May 2013
By Tom Deutsch
A primer on why flexibility—not scale—often drives big data adoption
 
Ten Years Later, Does IT Matter? Ten Years Later, Does IT Matter?
June 2013
By Tom Deutsch
Taking a look back on Nicholas Carr’s seminal article from 2003

 

Big Data Architects
Mining Data in a High-Performance Sandbox   Mining Data in a High-Performance Sandbox
November 2013

By Tommy Eunice
Fulfill data analysts’ dreams with data warehouse appliances for
in-database analytics and data mining

 

Data Warehousing
A Smarter Approach to Tackling Big Data   A Smarter Approach to Tackling Big Data
February 2013
By Nancy Hensley
The new IBM PureData System for Analytics: Focusing on analytic
performance and data center efficiency
 
If Hadoop Was Easy, Everyone Would Be Doing It If Hadoop Was Easy, Everyone Would Be Doing It
April 2013
By Nancy Hensley
IBM PureData System for Hadoop aims to simplify big data for the enterprise
 
Relishing the Big Data Burger Relishing the Big Data Burger
August 2013
By Nancy Hensley
How Hadoop wraps the data warehouse in a savory big data sandwich

 

Rocket Ship to Planet Petabyte
The Role of Stream Computing in Big Data Architectures   The Role of Stream Computing in Big Data Architectures
January 2013
By James Kobielus
Analyzing data in motion is a critical capability in a balanced
big data infrastructure
 
The Next Big "H" in Big Data: Hybrid Architectures The Next Big "H" in Big Data: Hybrid Architectures
May 2013
By James Kobielus
Fit-for-purpose big data platforms will play together under virtualization
 
Social Business: The Power of Big Data in Agile Engagement Social Business: The Power of Big Data in
Agile Engagement

June 2013
By James Kobielus
Why you should humanize everything your business says—to all
stakeholders, on all social networks