Weighed down by what has gone before, and what is needed to keep the lights on, the CIOs at many organizations I have worked with have turned to Hadoop with the hope of utilizing it as a major component of an IT infrastructure and as part of their modernization and
The Global Hadoop market was valued at $1.5 billion in 2012 and is expected to grow at a compound annual growth rate of 58.2 percent, to reach $50.2 billion by 2020, according to a Hadoop Market Analysis report prepared by Allied Market Research. There is no doubt that IT teams are
I have been on a whirlwind tour locally here in Australia visiting existing SAS customers where the focus of discussions have centered around SAS and Hadoop. I am happy to report that during these discussions, customers have been consistently surprised and excited about what we are doing around SAS on
Did you know: For 13 percent of car buyers a new vehicle without internet access is a no-go? Obviously, no-go means no-buy. Thirteen percent! If I have ever seen a market demand, it is this. For sure, the industry will respond to that. The management consulting company Bain even expects
All hail the data lake, destroyer of enterprise data warehouses and the solution to all our enterprise data access problems! Ok – well, maybe not. In part four of this series I want to talk about the confusion in the market I am seeing around the data lake phrase, including
I recently caught up with Dr. Tom Davenport, analytics thought-leader and author of Big Data @ Work, in Dublin, where we talked about big data, the Internet of Things and Hadoop. I'll be sharing the conversation here with you in two parts. You'll find part one below, and you can check
Working out where Hadoop might fit alongside, or where it might replace components, of existing IT architectures is a question on the minds of every organization that is being drawn towards the promises of Hadoop. That is the main focus of this blog along with discussions of some of the reasons they
SAS has been developing "secret sauce" technology for more than 38 years. Whether it has to do with being platform independent, processing in-database, running across a grid, or analyzing data in-memory like our SAS LASR Analytic Server or our High Performance Analytics offerings, secret sauce makes everything taste or, in
At most banks, data is stored in separate databases and data warehouses. Customer data is stored in marketing databases, fraud analyses are done on transactional data, and risk data is stored in risk data warehouses. Oftentimes even liquidity, credit, market, and operational risk data is stored separately as well. Bringing
In the first installment of this series on Hadoop, I shared a little of Hadoop's genesis, framing it within four phases of connectivity that we are moving through. I also stated my belief that Hadoop has already arrived in the mainstream, and we are currently moving from phases three of connecting people to phase four
