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Emerging analytics platforms are laying the foundation for innovation and fundamentally changing the approach IT organizations take to managing their infrastructure. IT organizations are being challenged to do more with less staff – and that staff should be able to perform similar tasks across all the IT platforms using common tools and technologies. Because of this pressure, IT must identify ways to bring existing infrastructure and legacy systems into the modern world of analytics, and in doing so, …
Virtually every operational event that occurs on the mainframe – from a simple log-in attempt at a workstation to a potential access breach of secured resources – can be captured and recorded in the System Management Facility (SMF) on the IBM z/OS platform.
However, the challenge has become how to extract, correlate and analyze the wealth of information contained within SMF logs to meet the goals of the organization.
Read on to learn how your organization can demystify the …
It’s no surprise that there are gaps between Big Iron (invented in the middle of the last century) and Big Data (invented a decade ago). But bridging them together can bring great business value: Customer 360, Real-time Fraud Detection, Active Archive to name a few.
Moving mainframe data into Hadoop storage formats is non-trivial, and processing that data in Hadoop is a challenge as well. Without the right tools, you may end up stalling your Big Data …
Before regulations like GDPR, enterprise-grade Data Quality tools might have been viewed as “nice to have” or driven by pockets of the organizations, such as marketing or sales. Today, Data Quality is easily recognized as a critically important data-based challenge that can jeopardize regulatory compliance.
Download the eBook, Data Quality-Driven GDPR, to gain insight into the questions that your organization must be able to answer to comply with GDPR such as:
• How are …