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Successfully managing big data requires more than just analytics -- you need to reduce the cost of managing data while also lowering the risk involved in organizing and protecting it. This resource offers an in-depth exploration of three key objectives to help you efficiently manage data throughout the lifecycle.
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This paper explores how Telecoms who apply information governance to solve business problems and service significant events in a similar manner can recognize significant return. Learn how information governance can help Telecom's improve the quality and reliability of data to increase profitability, reduce unnecessary costs and risks.
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By simplifying and making system refresh execution consistent, automation can decrease the potential for errors inherent in standard approaches. Read this paper to discover an automation solution that can be used for traditional SAP systems as well as SAP’s Business Warehouse (BW).
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This document provides utilities with an understanding of specific challenges faced by CIOs and provides information technology (IT) decision makers with a view to the use of time series databases in getting to scale.
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When it comes to Hadoop, the technology most often associated with big data, why is it so popular? Does it actually live up to the vendor hype? Check out this informative resource to get the real guidance you need to figure out where Hadoop fits into your organization, and how you can leverage it to extract the most from your big data.
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This paper explains master data in more detail, offers guidance for planning a master data management (MDM) plan and focuses on aligning IT with your business needs.
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In this informative resource, access a Q and A with the Director of Information Lifecycle Governance for IBM Worldwide, Sylvan H. Morley III, as he discusses the impact of big data on modern organizations, and gives advice on overcoming challenges to information lifecycle management.
