If your business hasn’t already embraced a multiple-cloud strategy, it’s likely that one is in your near future. Recent research shows that 85 percent of companies already operate in multicloud environments, and 98 percent of companies plan to be multicloud by 2021.
While cloud-based platforms
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
“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.
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
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.
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-
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