The data warehouse has never been more relevant than it is now. The DW’s role in the big data universe appears likely to grow. What the DW does, above all else (and this is far from its only role in many organizations) is serve as hub for governing your system-of-record data to be delivered into
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
The Information Management keynote session at IBM Insight 2014 brought new product offerings, memorable stories and answers to some common information infrastructure myths. Beth Smith, general manager of IBM Information Management, accompanied by special guest Grant Imahara of former Mythbusters
The world is becoming more and more instrumented, interconnected and intelligent, resulting in mountains of newly generated data. With storage costs coming down significantly, companies now want to leverage this instrument-generated data for conducting analysis.
In the world of big data, the elephant is king. Hadoop, whose elephant logo has become the face of big data, has been joined in the big data jungle by many friends: Pig, Jaql and even a ZooKeeper to keep them all in line. The entire big data jungle will be making a trip to Las Vegas in October for
I recently participated in a Twitter chat on big data strategy hosted by @IBMbigdata. In all, seven questions were asked (including inquiry around the hot new role of chief data officer), and the conversation certainly demonstrated that each are well worth discussing again, in a little more than
Most organizations are feeling the pressure to move big data initiatives past the discussion phase and toward well-planned projects. To what extent can a complete view of all of the available information help organizations gain deeper insights and make better decisions? Special guest John Mancini
What's in store for big data, analytics and data science in 2014? Big data evangelist James Kobielus walks us through what he sees shaping up in those areas, plus cognitive computing, machine learning, Hadoop, NoSQL and more.
Listen here or read the blog post that spurred this podcast.
In the big data scheme of things, you can talk about the "3 Vs," the "4 Vs," or as many "Vs" as your fevered imagination can spin out. The "3 Vs" point to the "big" dimension of the big data phenomenon, but when you shift the focus from "big" data to "all" data, the fourth V becomes a cleaner fit.
While much of today’s focus on big data is on “smart data,” the power of analytics, the most lasting benefit big data will bring to business worldwide, is agility.
The tools of big data found their genesis in the data-driven startups of Silicon Valley. In Google, Yahoo!, Facebook and Twitter:
The promise of achieving significant, measurable business value from big data can only be realized if organizations put into place an information foundation that supports the rapidly growing volume, variety and velocity of data.
As part of the recently published global research study, “Analytics:
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
What is an enterprise data warehouse (EDW)? You’d think the industry would have achieved some consensus on this topic by now, but you’d be mistaken.
The EDW holy wars continue even as big data pushes EDWs, however defined, to a more narrowly circumscribed niche. Some have argued that an EDW
Big data evangelization is not for the faint of heart. At a recent industry panel that I was on, the moderator joked that there must be a petabyte-scale big-data cluster somewhere brimming with definitions of big data.
Imagine trying to cram all of that into one’s puny human cranium. At the very