Delivering Big Data to the Business
Dive into a data reservoir for governed, self-service access to data and insight
In many organizations, governance may sometimes be considered a dirty word. Why would governance be looked upon this way? Because governance is often associated with slow and restricted practices that may impede access to data. This perspective is at odds with the needs of many big data projects that have as a primary goal exploration of a vast and unhindered information landscape that covers both internal and external data sources.
Having the right data is the key to success for analytics implementations, but an organization’s most valuable and potentially sensitive data tends to be the data repository that is frequently of most interest. A compromise between open access and protection of information is necessary.
In addition, as the volume and variety of data grows, the data requires cataloging to define its content and origin. Otherwise, time is wasted when attempting to locate the desired data, and doubts about its accuracy may surface, which can translate to a lack of confidence in the insight generated from the gleaned information.
Data Reservoirs Within Organizations
Attendees at Insight 2014, October 26–30, 2014 at Mandalay Bay in Las Vegas, Nevada, have the opportunity to take a deeper dive into the data reservoir and learn a lot more about the architecture by participating in Session 5833, “Introducing the IBM Data Reservoir.” This session not only presents the IBM data reservoir solution, it also focuses on how the data reservoir provides access to big data for analytics and ad hoc reporting. In addition, the session covers how the data is protected and managed for both efficiency and to help achieve assurance.
To get even more background, download the IBM Redguide™ publication, “Governing and Managing Big Data for Analytics and Decision Makers,” for an overview of the benefits of a data reservoir and how to design and operate it within an organization.
Governance and self-service capabilities are vital for enabling an organization to use big data with confidence. As a result, IBM has defined the solution architecture for a data reservoir. A data reservoir provides cataloging and self-service access to a wide range of big data that is built with management, governance, and cost-effectiveness at its core. (To learn more about the data reservoir, see the sidebar, “Data Reservoirs Within Organizations.”)
Please share any thoughts or questions in the comments.
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