I was recently fortunate to speak at one of the database technology
conferences held in Israel. Big parts of this conference revolved around
‘Big Data’ and I was asked to give the Business Intelligence perspective
on this fascinating subject.
As part of my presentation, I attempted to show the impact of columnar
database technology on the basic premise of business intelligence - the
ability to have business users perform ad-hoc analytics and reporting tasks
over as much data as possible.
In order to do that, I represented a business user building a report over a
very large operational database containing 13 tables, the largest of which
hold 100 million and 40 million rows. While databases of this size were once
rare - now, any company who has a properly tracked website quickly
accumulates even more data than that.
To demonstrate, I was using a front-end analytics too... (more)
SiSense, a provider of Big Data Analytics Software, recently announced Prism
3.0, the latest version of its end-to-end Business Intelligence (BI)
With over 100 new features, Prism 3.0 introduces breakthrough in data access.
Prism 3.0 enables customers to work with more data faster, regardless the
number of datasources, no matter how big their data is or how fast it grows.
A fully featured trial of Prism 3.0 can be downloaded for free here.
More Data, No Code
Traditional Business Intelligence tools require users to learn proprietary
scripting languages to access and comb... (more)
SiSense, the Big Data Analytics Company, has announced that it is introducing
the first In-Chip Analytics solution in the Cloud. The SiSense business
analytics software, powered by Rackspace Hosting (NYSE: RAX), will be
demonstrated today and tomorrow at the GigaOM Structure conference in San
Francisco (booth #43).
With SiSense Prism 10X, companies of all sizes are able to run Terabyte-range
analytics workloads in the Cloud without having to worry about setting up
complex clusters, acquiring or maintaining expensive hardware. The solution
provides enterprise-grade service, unm... (more)
As defined by Wikipedia, BI and analytics is a set of theories,
methodologies, processes, architectures, and technologies that transform raw
data into meaningful and useful information for business purposes, while a
data warehouse is a central repository of data which is created by
integrating data from one or more disparate sources to serve as a single,
clean and accurate business "truth."
When implemented in conjunction with a data warehouse, BI is centralized
under the IT department and therefore enjoys cleaner, more accurate data and
the ability to serve as the organization'... (more)
In recent times, one of the most popular subjects related to the field of
Business Intelligence (BI) has been In-memory BI technology. The subject
gained popularity largely due to the success of QlikTech, provider of the
in-memory-based QlikView BI product. Following QlikTech’s lead, many other
BI vendors have jumped on the in-memory “hype wagon,” including the
software giant, Microsoft, which has been aggressively marketing PowerPivot,
their own in-memory database engine.
The increasing hype surrounding in-memory BI has caused BI consultants,
analysts and even vendors to spew o... (more)