big (4)

The IBM System z platform is known for its scalability and its unmatched security. Nonetheless, we still need to monitor the who, what, why, when, where and how of protecting information. Big data will drive increased compliance as the range of data sources expands to support decision making. All these are subject to audit, compliance, regulation and more. Taking a proactive approach could help incidents from becoming headline breaches. Read this paper and learn the full capabilities of the InforSphere Guardium portfolio for IBM System z - and why there is no excuse for data breaches and longer.

I think you will enjoy this great new white paper from Ernie Mancill of IBM - our resident DB2 for z/OS security expert.bbb

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Information has never been so critical in running a business. Organizations are having to leverage new and existing sources of information in more innovating ways than ever before – and the volumes of data  is growing exponentially.  As the mainframe contains so much business critical data store in DB2 for z/OS it becomes a primary resource for today’s business analytics and decision making. The openness of the platform enables integration with other sources of data and its market leading qualities of service lend itself to becoming an information hub for big data initiatives.  Join the webcast and listen to Carl Olofson, IDC analyst, discuss his vast knowledge and experience of the platform, the ever increasing dependencies by large enterprise customers and how it is positioned and being used to deliver in the brave new world of big data.  Mark Simmonds will also highlight the information management portfolio roadmap for System z as it pertains to big data.

Register receive "The Mainframe as a Big Data and Analytics platform" a complimentary paper written by Carl Olofson, IDC.

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High volume, high velocity, high variety – these are just a few of the information challenges that businesses face today and in the near future. Big data is still a hot topic for both IT and business leaders who recognize it as an innovative and cost-effective way of gaining deeper insight into the business and driving better decision-making. While running out of data to analyze is not a problem, too much data from too many sources could be.

The longevity and qualities of service offered by the mainframe has made it an information hub, with vast amounts of data – from transactions and in multi-terabyte data warehouses – that can feed valuable business analytics. Join us for this complimentary webcast and hear an analyst's view point.

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I decided I need to blog on big data - particular on how the IBM System z platform and DB2 for z/OS fits into this new emerging world of "I want to know everything about everything". For so long organizations have focused on getting more out the core data they already have - most of which is highly structured data, rich in content (I'm talking about the record/transaction based data stored in databases, used by home grown and packaged applications). It's trusted, you know where is comes from, you understand the provenance behind it. It's estimated that 95% or fortune 1000 companies store some of the data on System z because of its integrity and ability to store, secure, process data, to scale and be resilient, But then there's all that "other stuff" - someone else's problem (now I'm referring to emails, social media, machine/sensor data, time series, geospatial and so forth - "differently structured" data ). But organizations started to realize just how valuable this "other stuff" could be. It could potentially provide different insights and perspectives of who a customer is, what their real needs and wants are, how the "feel" about a service, product or your company.

Over the coming months I'm going to take you on my journey as I discover more about the realities of big data and what it means for businesses, governments, and - you and me - the people. Let me start by stating this : Yes it's a paradigm, a strategy but do you suddenly stop what you're doing today and start "big data" projects? Eh.... no. In all likelihood you are probably doing it already - particular if you do have the System z platform. So what is big data I hear you asking? In a nutshell it's your ability to process, integrate, understand data from anywhere that is relevant to your business. Of course it's not without its challenges. So why do it ? Because when it comes to doing business big data augments / expands on what you already know about the market, a product, a customer, etc. The more we know the better we can manage risk, costs and identify opportunities for growth - That's big data in a nut shell.

So stay with me as I show why DB2 for z/OS and System z can be integral to the success of big data in the enterprise and what we are doing to help you make big data a reality. Think BIG., Think z.

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