The other day I was in a meeting with a client and there was an argument about who owns the data. Those arguing were IT people. In this scenario, the assumption was that data from source systems would flow into and integrate with a data warehouse. I found the discussion very interesting. Here are some of the
.@philsimon provides insights on whether a data strategy can result in competitive advantage.
In Part 1 of this series, Cheryl Doninger described how SAS Grid Manager can extend your investment in the Hadoop infrastructure. In this post, we’ll take a look at how Cloudera Manager helps Hadoop administrators meet competing service level agreements (SLAs). Cloudera Manager lets Hadoop admins set up queues to
"I skate to where the puck is going to be, not where it has been." - Wayne Gretzky I love this quote from Wayne Gretzky. It sums up how most organizations approach data strategy. Data strategy typically starts with a strategic plan laid down by the board. The CEO will
It’s obvious that an enterprise data strategy involves data – but we sometimes disregard the fact that it should also involve metadata. Why? Because it’s key to unlocking the value of data. Metadata shows you what data is available and how people can use it. It also reveals which data
If you'd like to extend your investment in the Hadoop infrastructure, SAS Grid Manager for Hadoop can help by enabling you to colocate SAS Grid jobs on your Hadoop data nodes. It works because SAS Grid Manager for Hadoop – which is Cloudera certified – is integrated with the native
.@philsimon on the need to play offense and defense with your organization's data.
When my band first started and was in need of a sound system, we bought a pair of cheap yet indestructible Peavey speakers, some Radio Shack microphones and a power mixer. The result? We sounded awful and often split our ear drums from high-pitched feedback and raw, untrained vocals. It took us years
.@philsimon begins a four-part series on the need for a proper data strategy.
In this two-part series, which posts as the calendar turns to a new year, I revisit the top data management topics of 2015 (Part 1) and then try to predict a few of the data management trends of 2016 (Part 2). Data management in 2016 The Internet of Things (IoT) made significant
