Taking Stock - Integrating Netezza with IBM's Product Portfolio
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.
Challenged to do more and with more data, warehouse architectures are evolving. For an analyst’s view, see Mark Beyer’s blog on the Logical Data Warehouse. Monolithic architectures are giving way to warehouses running across more than one compute platform – examples include a central EDW teamed with Netezza for analytics, an Hadoop cluster combined with Netezza – see Krishnan Parasuraman’s Architecting Big Data Solutions blog or real-time analytics from InfoSphere Streams teamed with Netezza. Each scenario requires that data move between platforms. The Data Bridge will move data between multiple platforms constituting the warehouse, simplifying management and reducing cost of ownership. In his blog “New Netezza Connectivity with Balanced Optimization” Tony Curcio presents details of newly-released connectivity between Information Server and Netezza. Automating tasks that otherwise consume hours and days of work within data integration projects speeds time to value and reduces cost.
In his blog, Robert Frankus details how the new 64-bit Java Dynamic Query Mode engine runs analytic functions four times faster than the previous version of Cognos. While faster query performance improves satisfaction with existing reports and analyses, as importantly it makes feasible new applications previously considered too slow to return value to the business. High performance applications unlock value in big data.
SPSS engineers delivered new graphical capabilities that use drag-and-drop approaches to simplify the deployment of analytic functions and data mining processes that run in-database within Netezza’s Massively Parallel Processing grid. Several industry observers observe that inadequate supply of skills hampers broad adoption of analytics; a graphical approach to developing analytic applications helps reduce the gap.
The announcement of the DB2 Analytics Accelerator for z/OS should provide all the proof anyone needs of IBM’s intent to integrate Netezza with the company’s rich product portfolio. System z – the mainframe – can now offload analytic query processing to Netezza, and do this transparently to applications and their users. Who said you can’t teach an old dog new tricks?