What do you get when you combine Big Data technologies….like Pig and
Hive? A flying pig?
No, you get a “Logical Data Warehouse”.
My general prediction is that Cloudera and Hortonworks are both aggressively
moving to fulfilling a vision which looks a lot like Gartner’s “Logical
Data Warehouse”….namely, “the next-generation data warehouse that
improves agility, enables innovation and responds more efficiently to
changing business requirements.”
In 2012, Infochimps (now CSC) leveraged its early use of stream processing,
NoSQLs, and Hadoop to create a design pattern which combined real-time,
ad-hoc, and batch analytics. This concept of combining the best-in-breed Big
Data technologies will continue to advance across the industry until the
entire legacy (and proprietary) data infrastructure stack will be replaced
with a new (and open) one.
As this is happening, I predi... (more)
Lou Gerstner became president of American Express in 1985 at the age of 43.
He dismissed the speculation that his success was the product of being a
workaholic. Gerstner said, “I hear that, and I can’t accept that. A
workaholic can’t take vacations, and I take four weeks a year.”
As I write this, I’m in Wyoming with the family enjoying Yellowstone and
Jackson Hole thinking, “Can I somehow achieve the level of impact of Lou
Gerstner with the right work-life balance?” What keeps people from having
to cancel vacations, modifying schedules to take budget calls, or work while
the fam... (more)
My favorite writer, Gil Press, sums it up with, “It’s Official: The
Internet Of Things Takes Over Big Data As The Most Hyped Technology” where
he talks about how Gartner released its latest Hype Cycle for Emerging
Technologies, and how big data has moved down the “trough of
disillusionment,” replaced by the Internet of Things at the top of the hype
The term Internet of Things was coined by the British technologist Kevin
Ashton in 1999, to describe a system where the Internet is connected to the
physical world via ubiquitous sensors.
Today, the huge amounts of data we are... (more)
Fraud is definitely top of mind for all banks. Steve Rosenbush at the Wall
Street Journal recently wrote about Visa’s new Big Data analytic engine
which has changed the way the company combats fraud. Visa estimates that its
new Big Data fraud platform has identified $2 billion in potential annual
incremental fraud savings. With Big Data, their new analytic engine can study
as many as 500 aspects of a transaction at once. That’s a sharp improvement
from the company’s previous analytic engine, which could study only 40
aspects at once. And instead of using just one analytic model, ... (more)
SAP customers are confused about the positioning between SAP Sybase IQ and
SAP Hana as it applies to data warehousing. Go figure, so is SAP. You want to
learn about their data warehousing offering, and all you hear is “Hana
this” and “Hana that”.
It reminds me of the time after I left Teradata when the BI appliances came
on the scene. First Netezza, then Greenplum, then Vertica and Aster Data,
then ParAccel. Everyone was confused about what the BI appliance was in
relation to the EDW. Do I need an EDW, a BI appliance, an EDW + BI appliance?
With SAP, Sybase IQ is supposed to be ... (more)