Does your warehouse need a modern makeover? Data warehouse modernization is about more than just offloading data into Hadoop. It’s about using new technologies like in-memory, stream computing, Hadoop and appliances to optimize the warehouse environment, all while building confidence in your data.
If you've been following our announcements recently, you're well aware that IBM is moving our big data and analytics portfolio inexorably into the cloud.
One of the key pillars of IBM's cloud strategy has been to integrate our next-generation BLU Acceleration technology into SmartCloud, our public-
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:
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
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
Big data is an industry ecosystem in which the open-source approaches have great momentum. Open-source platforms—including Hadoop, NoSQL and R—are expanding their footprint in advanced analytics. As the enterprise Hadoop market continues to mature and many companies deploy their clusters for the
IBM subject matter experts provide an overview of new BLU Acceleration technology and its ability to accelerate analytic performance to tackle big data. Watch as General Manager, Bob Picciano; Distinguished Engineer, Sam Lightstone; and DB2 Chief Architect, Tim Vincent take viewers on a tour of
Nothing screams “speed of business” quite like in-memory technology. On Wednesday, March 27, I participated in an IBM Twitter chat with analysts, influencers, thought leaders, fellow IBM-ers and others on this very topic. The event took take place from 12-1pm EDT and used hashtag #bigdatamgmt. (You
In-memory architectures are velocity with a vengeance. With business’ never-ending demand for more speed, widespread adoption of in-memory platforms is inevitable. As the cost of dynamic random access memory continues to decline, in-memory environments will become the lightning-fast data platform
When thinking of use cases for big data analytics, consider your need for immediacy. Do you have the need to know now, not just the ability to know now? In other words, would you do something differently at that moment if you knew the answer immediately?
Here are the quick-hit ponderings that I posted on the IBM Netezza Facebook page this past week. I started the week in a sentimental mood, then developed my 2020 vision, then tried my best to cram it all in memory, then into the palm of my hand, and then finally crammed far more recommendation