Informatica is within a year or two of becoming a $1 billion company, and the
CEO’s stretch goal is to get to $3b.
Informatica has been on a decent tear. It’s had a string of roughly 30
consecutive growth quarters, growth over the last 6 years averaging 20%, and
2011 revenues nearing $800 million. Abbasi took charge back in 2004, lifting
Informatica out of its midlife crisis by ditching an abortive foray into
analytic applications, instead expanding from the company’s data
transformation roots to data integration.
Getting the company to its current level came largely through a series of
acquisitions that then expanded the category of data integration itself.
While master data management (MDM) has been the headliner, other recent
acquisitions have targeted information lifecycle management (ILM), complex
event processing (CEP), low latency messaging (ultra messaging), a... (more)
It’s no secret that rocket .. err … data scientists are in short supply.
The explosion of data and the corresponding explosion of tools, and the
knock-on impacts of Moore’s and Metcalfe’s laws, is that there is more
data, more connections, and more technology to process it than ever. At last
year’s Hadoop World, there was a feeding frenzy for data scientists, which
only barely dwarfed demand for the more technically oriented data architects.
In English, that means:
Potential MacArthur Grant recipients who have a passion and insight for data,
the mathematical and statistical prow... (more)
With Strata, IBM IOD, and Teradata Partners conferences all occurring this
week, it’s not surprising that this is a big week for Hadoop-related
announcements. The common thread of announcements is essentially, “We know
that Hadoop is not known for performance, but we’re getting better at it,
and we’re going to make it look more like SQL.” In essence, Hadoop and
SQL worlds are converging, and you’re going to be able to perform
interactive BI analytics on it.
The opportunity and challenge of Big Data from new platforms such as Hadoop
is that it opens a new range of analytics. On o... (more)
At this point, probably at least 90 percent or more of analytic systems/data
warehouses are easily contained within the SQL-based technologies that are
commercially available today. We’ll take that argument a step further: Most
enterprise data warehouses are less than 5 terabytes. So why then all the
excitement about big data, and why are acquisitions in this field becoming
almost a biweekly thing?
To refresh the memory, barely a couple weeks back, HP announced its intention
to buy Vertica. And this morning came the news that Teradata is buying the
other 89 percent of Aster Data ... (more)
This guest post comes courtesy of Tony Baer's OnStrategies blog. Tony is
senior analyst at Ovum.
By Tony Baer
It was never a question of whether SAP would bring it flagship product,
Business Suite to HANA, but when. And when I saw this while parking the car
at my physical therapist over the holidays, I should’ve suspected that
something was up: SAP at long last was about to announce … this.
From the start, SAP has made clear that its vision for HANA was not a
technical curiosity, positioned as some high-end niche product or sideshow.
In the long run, SAP was going to take HANA ... (more)