Human beings tend to filter out events they deem unimportant. They can only process so much at any given time. Computer systems, however, must be able to handle a massive number of events in real time or near-real time to help support a wide range of applications.
While the proliferation of data will be readily apparent, deciding what to do in response will be less straightforward. The majority of workloads currently sit in traditional, on-premises environments but we’ll see many of them move to private and public clouds over the next over the next five
The latest release of IBM DB2 for Linux, Unix and Windows (LUW) is generating lots of excitement. Following on a recent post highlighting the recent release, take a look at the robust set of advances, enhancements and new features available in DB2 LUW Version 11.1.1, particularly those that advance
As 2014 draws to a close, the proverbial elephant that we call big data is smarter, more sensitive and more agile than ever. It’s got a much more varied array of advanced analytics riding on its broad back. More than that, it’s performing these amazing feats as a team player within a growing troop
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
The Forrester Wave Big Data Hadoop Solutions Q1 2014 declared that “Hadoop is unstoppable.” Indeed, Hadoop is changing the game of large scale computing and IBM Infosphere BigInsights is right there leading the pack.
So what's the scoop on Hadoop?
“Hadoop is unstoppable as its open source roots grow wildly and deeply into enterprise data management architectures,” Forrester analysts Mike Gualtieri and Noel Yuhanna wrote recently in The Forrester Wave Big Data Hadoop Solutions Q1 2014 on the Hadoop marketplace. “Forrester believes that Hadoop
The consolidated memory cloud will be the dominant architecture of the big data future. For enterprises and service providers trying to get closer to that vision, however, the migration path will not always be straightforward.
Without modernization techniques it's becoming increasingly difficult for businesses to manage their data warehouses effectively. Today's data load demands Hadoop and modern warehouse technologies, including appliances and in-memory. Ani Worlikar, Program Director for big data solutions at IBM,
IBM Analytics Warehouse for Bluemix is now generally available to all customers for your agile data warehousing and analytics needs. This pay-as-you-go cloud service, leveraging in-memory BLU technology, is designed to provide a single, agile in-memory platform for all applications required for
We are in a new era of big data where organizations must leverage modern warehouse technologies (appliances, in-memory) to reduce cost and speed up analytics. "A modernized data warehouse takes advantage of new in-memory capabilities and IBM PureData for Analytics, powered by Netezza and DB2," says
IBM InfoSphere BigInsights is an industry-standard Hadoop offering that combines the best of open source software with enterprise-grade features. Let’s talk about some key features of the distribution and the top ten reasons to love it.
Databases have been around for decades, but suddenly there’s renewed interest in database technology. Nancy Hensley, director of marketing and strategy for databases and database systems at IBM, joined the show to explain what is happening in the industry to drive this interest. She also described
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.