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 the data warehouse and Hana is the BI
or analytic appliance that sits off to its side. Okay. SAP has a few
customers on Sybase IQ, but are they the larger well-known brands? Let's face
it….since its acquisition of Sybase in 2010, SAP has struggled with
positioning it against incumbents like ... (more)
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 r... (more)
The security community has a growing number of influential and important
people, especially as the industry rises to meet the need to address more
advanced security threats, such as targeted attacks. But how does a company
in the security industry truly identify the influential people? And then once
identified, how does one use influential voices to help promote their brand?
In this study, we answer the first question - how to identify the most
powerful voices in your industry, focusing on the security space, and as part
of this we provide you a list of people to follow for the b... (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)
How do you know whether you are dealing with Big Data or Small Data? I’m
constantly asked for my definition of “Big Data”. Well, here it is…for
Batch Analytics Small Data Big Data Data Volume Gigabytes Terabytes –
Petabytes Data Sources 1-6 (structured – SQL, or unstructured – NoSQL) 6+
structured AND 6+ unstructured Business Functions One line of business (e.g.
sales) Several lines of business all the way up to a 360 degree view of the
business Business Questions Queries are complex requiring many concurrent
data modifications, a rich breadth ... (more)