I was on this call. Nice of Sandy to document it for all of us. I’m interested in the Event Processing ties. Will get more info from SAP on Event Insight closer to the Feb 23 launch.
“A group of bloggers had an update today from Steve Lucas, GM of the SAP business analytics group, covering what happened in 2010 and some outlook and strategy for 2011.
No surprise, they saw an explosion in growth in 2010: analytics has been identified as a key competitive differentiator for a couple of years now due to the huge growth into the amount of information and event being generated for every business; every organization is at least looking at business analytics, if not actually implementing it. SAP has approached analytics across several categories: analytic applications, performance management, business intelligence, information management, data warehousing, and governance/risk/compliance. In other words, it’s not just about the pretty data visualizations, but about all the data gathering, integration, cleanup, validation and storage that needs to go along with it. They’ve also released an analytics appliance, HANA, for sub-second data analysis and visualization on a massive scale. Add it all up, and you’ve got the right data, instantly available…”
Thoughtful, data-rich, post from Steve O’Grady on the life and times of Java.
“How then might we reconcile the above data with the conclusions of the Forrester analysts and the conventional wisdom of the enterprise they represent? For my part, the answer is simple: I break with them.
According to the data at our disposal, it is apparent that on a relative basis, Java has peaked. It is not as popular as it once was, and is not likely to return to its former prominence in future. It is equally clear, however, that it is still a dominant platform, and the data we have on current usage and employment indicates that this position is sustainable moving forward.
Which means that, from our perspective, Java is anything but a dead end. But as always, it depends on who you ask.”
“In this IBM® Redbooks® publication, we discuss and describe the positioning, functions, capabilities, and advanced programming techniques for IBM InfoSphere™ Streams.
Stream computing is a new paradigm. In traditional processing, queries are typically run against relatively static sources of data to provide a query result set for analysis. With stream computing, a process that can be thought of as a continuous query, that is, the results are continuously updated as the data sources are refreshed. So, traditional queries seek and access static data, but with stream computing, a continuous stream of data flows to the application and is continuously evaluated by static queries. However, with IBM InfoSphere Streams, those queries can be modified over time as requirements change.”
Chuck Hollis of EMC riffs on a question from James Governor (monkchips)
“We Struggle To Think Of Information As Potential Value
Generationally, we have not been trained to think of information as money.
At one of the spectrum, traditional IT organizations view massive amounts of information as a cost, a risk, or perhaps both.
And at the other end of the spectrum, many business users have fallen into the lazy habit of thinking in terms of silver-bullet applications that somehow magically deliver the right information at the right time, without going deeper to understand the nature of the information behind these convenient applications.
Somewhere in the middle of these two extremes is a potential treasure trove of information-based value waiting to be unlocked for those that go looking.”
Forrester embraces Event Processing… [Told you I was early]
“In “The Next Big Architecture Movement: Business Events,” Forrester’s VP and Principal Analyst John Rymer and Senior Analyst Mike Gualtieri will talk about business event architecture (BEA). Enterprise architects can use BEA to make business capabilities much more responsive to change. BEA is not just about event processing platforms — it’s a larger architecture paradigm that unifies SOA with other flexible platforms such as business rules management systems and business process management. Where rules can automate responses to individual occurrences, BEA can enable awareness of and consistent responses to patterns of events for much more complex scenarios. Just when you thought it was safe, another architecture movement arrives to rock your world!”
“It’s natural for people pursuing innovation to jump into idea-generation mode. After all, when you generate ideas you feel like you’re making progress. But my experience suggests that you should spend roughly six times longer generating a killer question than positing answers.”
“..The next time you or your team start generating ideas, stop. Step back. Make sure you’ve thought about the question you’re trying to answer…”