For some vendors, the only use case for unstructured data is to turn it into structured data to analyze it in a relational database. This is a legitimate use case, especially where you want to analyze in conjunction with relational data, or you want to make it available for what I called “speed of
Below are the top three questions I hear all the time from business partners and customers alike. I will take a moment to address each one. Before I do that, however, I wanted to flash back to 1995. I was responsible for building a channel around our new e-commerce offering called Net.Commerce (
What is “event processing”? What are the similarities and differences between complex event processing and stream computing? Why would you want to use these techniques? Roger Rea, IBM InfoSphere Streams product manager, answers these questions and others.
IBM InfoSphere Streams helps define and run powerful analytics on structured and unstructured data in motion. In the healthcare domain, InfoSphere Streams is currently being used to continually analyze up to 16 concurrent streams of physiological data (Blood Pressure, EKG, Blood Oxygen Saturation
In business, every moment is a moment of truth. Every moment can spell the difference between keeping a customer or losing them to a rival that makes them a better offer or delivers a superior experience. And no two moments are ever the same. If you don't seize that tiny window of opportunity, you'
My first encounter with in-memory database technology was back in 1998 when I was working at e-commerce pioneer Open Market. At the time, we had acquired an in-memory database solution that powered an online product catalog. Because everything was in-memory, the response time as different
A slew of announcements made during last week’s IOD conference assert IBM’s R&D machine is running in top gear. Here’s my take on progress integrating Netezza with IBM’s broad product portfolio and how this engineering further simplifies our customers’ warehousing and analytics projects.