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
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.
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
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.
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: