Healthcare // Analytics
News
8/23/2011
12:03 PM
Doug Henschen
Doug Henschen
Slideshows
Connect Directly
Google+
LinkedIn
Twitter
RSS
E-Mail
50%
50%
Repost This

10 Lessons Learned By Big Data Pioneers

How can you prepare for the big data era? Consider this expert advice from IT pros who have wrestled with the thorny problems, including data growth and unconventional data.
Previous
4 of 11
Next


Better data compression saves on storage, and that's still important even as hardware costs per terabyte have declined. Column-store databases, such as HP Vertica, Infobright, ParAccel, and Sybase IQ, can achieve 30-to-1 or 40-to-1 compression while row-store databases, such as IBM DB2, Microsoft SQL Server, and MySQL, average 4-to-1 compression. That's because columnar data is consistent, containing all zip codes or all purchase order numbers, for example. Rows hold a mix of data, such as all the attributes associated with an individual customer--name, address, zip, purchase order number, and so on. The Aster Data and Oracle databases offer hybrid row/columnar features. Oracle's Hybrid Columnar Compression, for one, can crunch data at a 10-to-1 ratio.

Compression levels vary depending on the data, and keep in mind that column-store databases aren't always the best choice. If your queries call on many attributes, a row-store product may deliver better performance. Indeed, row-store databases are more commonly used for enterprise data warehouses handing a mix of queries whereas column-store databases more often power focused data marts. Column-store customers include digital-media measurement giant comScore, a Sybase IQ user since 1999, and fast-growing online network Interclick, which deployed ParAccel in 2009.

RECOMMENDED READING

Big Data A Big Backup Challenge

Big Data: Informatica Tackles The High-Velocity Problem

IBM Picks Hadoop To Analyze Large Data Volumes

Hadoop Big Data Startup Spins Out Of Yahoo

2 Ways Big-Data Analysis Pays Off

A Model For The Big Data Era

Machines Are Driving The Big-Data Era

NOAA CIO Tackles Big Data

Previous
4 of 11
Next
Comment  | 
Print  | 
More Insights
Big Love for Big Data? The Remedy for Healthcare Quality Improvements
Big Love for Big Data? The Remedy for Healthcare Quality Improvements
Healthcare data is nothing new, but yet, why do healthcare improvements from quantifiable data seem almost rare today? Healthcare administrators have a wealth of data accessible to them but aren't sure how much of that data is usable or even correct.
Register for InformationWeek Newsletters
White Papers
Current Issue
InformationWeek Elite 100 - 2014
Our InformationWeek Elite 100 issue -- our 26th ranking of technology innovators -- shines a spotlight on businesses that are succeeding because of their digital strategies. We take a close at look at the top five companies in this year's ranking and the eight winners of our Business Innovation awards, and offer 20 great ideas that you can use in your company. We also provide a ranked list of our Elite 100 innovators.
Video
Slideshows
Twitter Feed
Audio Interviews
Archived Audio Interviews
GE is a leader in combining connected devices and advanced analytics in pursuit of practical goals like less downtime, lower operating costs, and higher throughput. At GIO Power & Water, CIO Jim Fowler is part of the team exploring how to apply these techniques to some of the world's essential infrastructure, from power plants to water treatment systems. Join us, and bring your questions, as we talk about what's ahead.