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MDM, Quality & Governance: More Vibrant Than Ever

By Philip Russom, TDWI Research Director for Data Management

This week, we at TDWI produced our fifth annual Solution Summit on Master Data, Quality, and Governance, this time on Coronado Island off San Diego. I moderated the conference, along with David Loshin (president of Knowledge Integrity). We lined up a host of great user speakers and vendor panelists. The audience asked dozens of insightful questions, and the event included hundreds of one-to-on meetings among attendees, speakers, and vendor sponsors. The aggregated result was a massive knowledge transfer that illustrates how master data management (MDM), data quality (DQ), and data governance (DG) are more vibrant than ever. More

Posted by Philip Russom, Ph.D. on June 5, 20130 comments

Five Trends in Predictive Analytics

Predictive analytics, a technology that has been around for decades has gotten a lot of attention over the past few years, and for good reason.  Companies understand that looking in the rear-view mirror is not enough to remain competitive in the current economy.  Today, adoption of predictive analytics is increasing for a number of reasons including a better understanding of the value of the technology, the availability of compute power, and the expanding toolset to make it happen. In fact, in a recent TDWI survey at our Chicago World Conference earlier this month, more than 50% of the respondents said that they planned to use predictive analytics in their organization over the next three years. The techniques for predictive analytics are being used on both traditional data sets as well as on big data.


Posted by Fern Halper, Ph.D. on May 22, 20130 comments

Big Data Management: What to Expect

By Philip Russom, TDWI Research Director

Think about everything you know about data management, including its constituent disciplines for integration, quality, master data, metadata, data modeling, event processing, data warehousing, governance, administration, capacity planning, hand coding, and so on. Now, write down everything you know on a series of index cards that are about the same size as playing cards. Next, do some reading and studying to determine the new things you need to learn about managing so-called “big data,” and write those on more index cards. Finally, shuffle the index cards and deal them into several large hands, as you would do with playing cards. More

Posted by Philip Russom, Ph.D. on May 20, 20130 comments

Premises vs. Premise in the Cloud

With all of the research I’ve been doing around cloud computing over the past few years, I’ve noticed something very disturbing about how people use the word premises.  I’ve blogged about this before but it merits repeating on my TDWI blog.  Maybe it’s because I come from a telecommunications background that this bothers me so much – but has anyone else noticed that people are misusing the words premise/premises when describing aspects of the cloud?  The proper term is generally premises, people, as in – on your premises (see below).


Posted by Fern Halper, Ph.D. on April 17, 20130 comments

Integrating Hadoop into Business Intelligence and Data Warehousing: An Overview in 27 Tweets

Blog by Philip Russom
Research Director for Data Management, TDWI

To help you better understand how Hadoop can be integrated into business intelligence (BE) and data warehousing (DW) and why you should care, I’d like to share with you the series of 27 tweets I recently issued on the topic. I think you’ll find the tweets interesting, because they provide an overview of these issues and best practices in a form that’s compact, yet amazingly comprehensive.

Every tweet I wrote was a short sound bite or stat bite drawn from my recent TDWI report “Integrating Hadoop in Business Intelligence and Data Warehousing.” Many of the tweets focus on a statistic cited in the report, while other tweets are definitions stated in the report.

I left in the arcane acronyms, abbreviations, and incomplete sentences typical of tweets, because I think that all of you already know them or can figure them out. Even so, I deleted a few tiny URLs, hashtags, and repetitive phrases. I issued the tweets in groups, on related topics; so I’ve added some headings to this blog to show that organization. Otherwise, these are raw tweets.


Posted by Philip Russom, Ph.D. on April 12, 20130 comments

Bringing Big Data Down to Earth

We are just weeks away from the TDWI World Conference in Chicago (May 5-10), where the theme will be “Big Data Tipping Point.” I have it on good authority that by then, the current coldness will have passed and Chicago will be basking in beautiful spring weather. (If not, as they say, wait five minutes.) The theme of the World Conference is “Big Data Tipping Point,” which means that TDWI will feature many educational sessions to help you get beyond the big data hype and learn how to apply best practices and new technologies for conquering the challenges posed by rising data volumes and increased data variety. More

Posted by David Stodder on April 10, 20130 comments