System z and Business Analytic – A Perfect Tango
” Data is the next Intel inside “ by Tim Oriely is ubiquitous quote of our times. We have all heard about the explosion of data growth in recent times with the internet of things and emergence of social media ( Facebook, Twitter, LinkedIn, Tumblr, Instagram) or some might say it Web 3.0 revolution. According to IDC, amount of digital information created, replicated and consumed worldwide will grow exponentially from 0.8 trillion gigabytes in 2010 to 40 trillion gigabytes in 2020. Also according to IDC, many organizations are expected to experience a doubling in the volume of data across their enterprises approximately every 24 months and are investing heavily to scale their data storage and management platforms to accommodate this growth. There are a lot of big data, mobile and cloud growth statistics available on the web, stressing the importance of how data analysis and insights drawn from it is becoming a competitive edge for businesses around the world. Generally, when we talk about explosive data growth, discussion is more geared towards unstructured form of data. By definition, unstructured data is heterogeneous and variable in nature arising from sources like Twitter, Facebook, Instagram or even huge amount of email exchanges. Although most of data growth is around unstructured format but there is still a lot of structured data around in corporate warehouses that can be a potential gold mine for competitive advantage.
Recently, stumbled across a very informative and interesting blog by Paul Dimarzio on relevance of System z in today’s analytics environment and the importance of analyzing structured data (transaction processing) in today’s IT environment. This is where I like to pick some pieces and explain why System z and business analytic forms a perfect tango. Enterprises and technology has evolved from business analytic being a skunk project to being a truly integral part of how business decisions gets made. An enterprise will get maximum benefit of business analytic, if it is seamlessly integrated into existing technology infrastructure and part of day to day business transactions. Given below are key points that an enterprise should think in order to maximize business analytic benefits in their business environment.
1) Seamless integration with existing business processes and technology infrastructure.
2) A common management interface across its business IT processes and analytic capabilities.
3) Scalable analytic infrastructure that can meet demands of heterogeneous, compute intensive analytic applications and databases.
4) Secure analytic infrastructure environment that can meet strict demands of an enterprise business governance model.
Business analytic on System z can provide enterprises with a solution leveraging traditional strength of z platform (built in virtualization, 24*7 availability, EAL5 security certification, ability to run heterogeneous workload) coupled with integration of analytic appliance like Netezza along with SPSS and Congnos software stack. Given below are the key technical capabilities that have been added to z platform for analytic workload;
1) For business intelligence and predictive analytic, IBM analyticssoftware Cognos, SPSS has been tightly integrated with DB2 and web sphere to provide customers key insights into their data.
2) IBM zEnterprise analytic system 9700 and 9710 provides an integrated data ware housing facility where Netezza query accelerator has been integrated with DB2 and z/OS to provide customer a pre configured manageable environment to provide quick analytics operations. In certain cases, queries that in the past could have taken 5 hours of processing can be completed in just 20 seconds, quite astonishing.
3) On IBM zEnterprise analytic system 9700 and 9710, there are also add-on packs available to meet complex business demands. Data Analysis Pack for business intelligence and predictive analytic include IBM Cognos Business Intelligence, SPSS Modeller W/Scoring Adapter, Data Integration pack includes all the tools needed for integrating and transforming data from various heterogeneous sources and Fast Start service pack can be leverage for customized tailored solution.
4) DB2 11 for zOS provides integration with IBM InfoSphere BigInsights (Hadoop implementation). A typical use case scenario will be to leverage
Above points clearly highlight, how System z is innovating itself to be a premier enterprise analytic platform. As I discussed in my previous blog, driving maximum utilization from current and future IT investments will be at the forefront of every business strategy. For existing System z customers, the enhancements and integration of analytic technology in to the z platform further provides customer with the avenue of lowering down the TCO and TCA barrier. For new customers, System z with its rich innovative history of enterprise grade usage coupled with tight integration of world class analytic s technology should offer a very competitive technology platform choice but also offer fresh perspective. Cheers to the next 50 years of System z innovation!!!!!
Useful links to further learn more about System z and Analytics: