IBM this week announced dashDB, which brings cloud-based modernization to data warehousing and analytics. dashDB helps customers to ensure that infrastructure doesn't stand in the way of them realizing fast value from an agile enterprise data warehouse. Many smaller and mid-sized users have little
Rachel Bland, senior product manager for IBM Business Analytics, describes one of the many sessions on Analytics at Information On Demand 2013. This session will focus on IBM's latest in-memory technologies and how we're making them easier to use. Key points of this session are:
One of the biggest problems posed by big data is separating the signal from the noise, or cutting through all the data to find insight and value. The 2013 IBM Institute for Business Value study surveyed 900 business and IT executives from 70 countries to assess how they’re converting data into
How do you find diamonds in your data? That’s a major focus of most big data and analytics projects. Everyone wants to more effectively sift through piles of dusty data and find the value hidden within. You know the type: gems that help answer key questions about your customers. You’re searching
Traditionally, the amount of available memory limited how businesses could – or couldn’t – run complex queries or analytics. Disk space was a constant challenge, and architects and DBAs performed a continual balancing act, trying to put the most valuable information in the most accessible, fastest
Last week, I participated in an interesting #ibmblu twitterchat on “Workload Management for Growing Data.” The timing of this twitterchat was quite ironic for me, as last week was one of those weeks where I constantly felt like I was never on top of anything. The big stuff kept occupying my time,
The sheer amount of data your business deals with continues to grow. And you have to make sure that data is handled properly through a solid data governance program to keep it clean, accurate and accessible to the right people.
Maybe you’re lucky enough to hire a couple more employees to help
Just last week we had a very interesting #ibmblu twitterchat on "Controlling Your Data Footprint." Many experts participated in this discussion and many great points were made. You can view a streamlined transcript below or here.
Storage requirements have been growing quickly, increasing pressure
Quick: how fast do you need to understand your data?
There’s really no good, universal answer. As big data becomes more about using data to actually generate insights and understanding, we’ve begun talking about “speed of thought analytics.”
BLU Acceleration helps make this possible by integrating
Paul Zikopoulos talks with Master Inventor Sam Lightstone in this video called "Actionable Compression in DB2 10.5 with BLU Acceleration." BLU compression allows you to work on the data while the data is still compressed. This changes the game! Find out more by watching the video.
In this FAQ, IBM Fellow Tim Vincent and IBM VP Paul Zikopoulos discuss the technical genius of DB2 with BLU Acceleration. They discuss how columnar, simplicity, actionable compression, core-friendly parallelism, vector processing or SIMD, cache friendly, and data skipping provide synergy to
This episode features two experts with very different perspectives talking about the intersection of big data, analytics and the databases that make it all possible. IBM Champion David Birmingham is a Senior Principal with Brightlight Consulting. He has more than 25 years of experience in very –