The first three posts in this series talked about performance, projects and platforms as key themes in what is beginning to feel like a watershed year for Hadoop. All three are reflected in the surprising emergence of a number of new players on the scene, as well as some new offerings from additional ones, which I’ll cover in another post. Intel, WANdisco,Continue reading “Hadoop 2013 – Part Four: Players”
Category Archives: Industry trends
Hadoop 2013 – Part Three: Platforms
In the first two posts in this series, I talked about performance and projects as key themes in Hadoop’s watershed year. As it moves squarely into the mainstream, organizations making their first move to experiment will have to make a choice of platform. And – arguably for the first time in the early mainstreaming of an information technology wave – thatContinue reading “Hadoop 2013 – Part Three: Platforms”
Hadoop 2013 – Part Two: Projects
In Part One of this series, I pointed out that how significant attention is being lavished on performance in 2013. In this installment, the topic is projects, which are proliferating precipitously. One of my most frequent client inquiries is “which of these pieces make Hadoop?” As recently as a year ago, the question was pretty simple for most people:Continue reading “Hadoop 2013 – Part Two: Projects”
Hadoop 2013 – Part One: Performance
It’s no surprise that we’ve been treated to many year-end lists and predictions for Hadoop (and everything else IT) in 2013. I’ve never been that much of a fan of those exercises, but I’ve been asked so much lately that I’ve succumbed. Herewith, the first of a series of posts on what I see asContinue reading “Hadoop 2013 – Part One: Performance”
Diary of an Asian Swing: Day 4
Halfway across the world you go to breakfast and see a neighbor is in your hotel too. How often does it happen? Today I saw an SAP colleague I worked with two decades ago at Sybase – and his colleague, with whom I’ll meet while in Singapore. Great start to the day. This day wasContinue reading “Diary of an Asian Swing: Day 4”
Diary of an Asian Swing: Day 2
(Written on iPhone) Typical Eurostyle breakfast. Learn at desk that I DO have a TV, but have to slide picture over to reveal it. Feel remarkably stupid. A little work, then onto subway. Like everything else here, clean, efficient, modern and packed with people – most playing with their smartphones. I’m the only Anglo inContinue reading “Diary of an Asian Swing: Day 2”
Guest Post: Leading the Logical Data Warehouse Charge Has its Challenges
From my colleague Mark Beyer, who speculates about how leadership in moving toward the logical data warehouse (LDW) will be received: The logical data warehouse is already creating a stir in the traditional data warehouse market space. Less than 5% of clients with implemented warehouses that we speak with are pursuing three or more of theContinue reading “Guest Post: Leading the Logical Data Warehouse Charge Has its Challenges”
Apache Hadoop 1.0 Doesn’t Clear Up Trunks and Branches Questions. Do Distributions?
In early January 2012, the world of big data was treated to an interesting series of product releases, press announcements, and blog posts about Hadoop versions. To begin with, we had the announcement of Apache version 1.0 at long last, in a press release. Although there were grumblings here and there in the twittersphere thatContinue reading “Apache Hadoop 1.0 Doesn’t Clear Up Trunks and Branches Questions. Do Distributions?”
Mark Beyer, Father of the Logical Data Warehouse, Guest Post
Another guest post, this time from my colleague and friend Mark Beyer. My name is Mark Beyer, and I am the “father of the logical data warehouse”. So, what does that mean? First, if like any father, you are not willing to address your ancestry with full candor you will lose your place in the universe andContinue reading “Mark Beyer, Father of the Logical Data Warehouse, Guest Post”
Beyond Moneyball: How Organizations Can Use Collaborative Decision Making to Succeed
Having just seen the movie myself, I was delighted to receive this guest post from my colleague Rita Sallam, a Research Director here who focuses on Analytics, BI, and Performance Management. It’s a good read. As demonstrated in movie “Moneyball”, starring Brad Pitt and opening in theaters today (http://www.moneyball-movie.com/), professional sports teams are increasingly using data miningContinue reading “Beyond Moneyball: How Organizations Can Use Collaborative Decision Making to Succeed”