News & Blogs
February 25, 2013 – Greenplum today announced a new Hadoop distribution called Pivotal HD. It is based on Hadoop 2.0 and integrates the Greenplum database with Apache Hadoop running directly against HDFS. The move addresses a common concern among Big Data practitioners. While Hadoop has proven itself a scalable, cost effective Big Data storage and processing platform, analyzing data loaded in Hadoop is a complex affair.
February 25, 2013 – If, like many industry watchers, you’ve been confused about EMC Greenplum’s Hadoop strategy over the past couple years, Scott Yara has a message for you: “We’re all in on Hadoop, period.” Yara, Greenplum’s co-founder and senior vice president of products, has a not-so-coded message for his big data market competitors, too. Put simply, he doesn’t think they stand a chance against his company, and he served notice on Monday morning.
February 25, 2013 – At the time, a long line of startups were offering a new breed of database designed to store and analyze much larger amounts of data. Greenplum. Vertica. Netezza. Hammerbacher and Facebook tested them all. But they weren’t suited to the task either.
February 21, 2013 – 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: MapReduce, HDFS, maybe Sqoop and even Flume, Hive, Pig, HBase, Lucene/Solr, Oozie, Zookeeper.
February 20, 2013 – Everybody and their mother is on the hunt for a data scientist, dubbed the “sexiest job of the 21st century,” by the Harvard Business Review. To train the next generation, New York University (NYU) has launched a data science and statistics initiative, which is intended to drive breakthrough research in other programs, including medicine and technology. The new website for the program cites research from McKinsey that projects the U.S. alone will need 140,000 to 190,000 people with deep analytic skills by 2018 as well as 1.5 million managers and analysts for “big data” jobs.
The New York Times
February 19, 2013 – Not long ago, I was at a dinner with the chief executive of a large bank. He had just had to decide whether to pull out of Italy, given the weak economy and the prospect of a future euro crisis. The C.E.O. had his economists project out a series of downside scenarios and calculate what they would mean for his company. But, in the end, he made his decision on the basis of values.
February 18, 2013 – Today Mayor Michael Bloomberg delivered his final State of the City address. It’s finally happened: New York City has merged wholly with Startupland. The evidence? In his speech, Mayor Bloomberg announced that our fair metropolis (which already has a Chief Digital Officer, Ms. Rachel Haot) will now have a Chief Analytics Officer, as well.
February 13, 2013 – 2012 was a huge year for Silicon Valley. Facebook went public, Marissa Mayer joined Yahoo, laws changed to foster new industries, enterprise startups got hot, and billion-dollar companies were formed and acquired. Now, after months of research, debate, and more research, we're happy to present the latest installment of the Silicon Valley 100, Business Insider's authoritative compilation of the people who did the coolest things in Silicon Valley this year.
February 12, 2013 – Make no mistake: the Big Data movement has done more than just introduce a tidal wave of aggressive marketing campaigns. While it’s true that the “Big” in Big Data is an increasingly ambiguous term – as others have recently noted, someday we’ll just call it “data” again – there’s no denying that it has fundamentally changed the manner by which organizations today make decisions. Beyond fundamentals, this movement has significantly increased the demand for two relatively new and critical organizational roles: Data Scientists and Data Explorers.
Smart Data Collective
February 12, 2013 – Gartner projects that by 2015, 65% of packaged analytic applications with advanced analytics will come with Hadoop embedded. Sounds rational, logical, and realistic to me.