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Data Warehouses White Papers

  • The Dark Data Imperative

    Sponsored by: Informatica

    Learn how your organization can capitalize on your dark data to uncover valuable insights into your business processes in this informative white paper. Read on to get an in-depth explanation of dark data, and discover the top 4 reasons companies overlook it.

  • Meeting the Challenges of Unstructured Data

    Sponsored by: Basho Technologies

    This white paper provides helpful advice and tips on how you use unstructured data to your advantage.

  • Eight Considerations for Advancing Big Data Analytics

    Sponsored by: SAS

    View this white paper and explore eight key points to help you determine which big data analytics solution is right for you. Learn details about these deliberations in order to make sound decisions for your enterprise, including whether or not to pursue in-memory analytics.

  • 451 Research: IBM’s enterprise version of dashDB data warehouse

    Sponsored by: IBM

    This white paper describes IBM's enterprise version of dashDB data warehouse.

  • DashDB: Keeping Data Warehouse Infastructure Out of Your Way

    Sponsored by: IBM

    Access this resource to uncover a fact sheet that will help your organization build more with no infrastructure investment and rapid cloud provisioning, grow more with in-memory technology without the hassle of data warehousing architecture, and know more with greater efficiency and performance.

  • Analytics for SAP - BCC Case Study

    Sponsored by: Teradata

    In this brief case study learn more about BCC's specific issues accessing their SAP information, and discover what system they implemented in place of SAP BW.

  • Using Powerful Analytics to Provide Actionable Insights to Decision Makers

    Sponsored by: Hewlett-Packard Limited

    View this white paper to get an inside look at a leader in communications' implementation of an analytics program, which generated a 657% ROI over a five-year period. Read on to learn how a strong analytics system propels positive business outcomes.

  • A Better Way to Build a Data Warehouse with Data Extracted from SAP Solutions

    Sponsored by: Teradata

    In this exclusive summary learn more about your options for harvesting and analyzing your SAP ERP data. Discover how your data can yield actionable insights quickly and easily with innovative data warehousing techniques. Read on to finally answer the question: why use an enterprise data warehouse today?

  • The New Rosetta Stone For SAP ERP Data and Analytics

    Sponsored by: Teradata

    You can learn more about the drawbacks of the SAP BW by exploring this exclusive white paper. Learn about alternative methods for SAP ERP data analytics that could trump the SAP BW. Compare methods various capabilities.

  • 8 Proven Strategies for Data Integration

    Sponsored by: Information Builders

    This white paper highlights 8 proven data integration strategies and uses real-world examples to demonstrate the high-value, high-return data access options that are available to you.

  • BI in the Sky: Making Cloud Analytics Work

    Sponsored by: SearchBusinessAnalytics

    Cloud BI offers companies many advantages. Find out if those benefits apply to your organization.

  • Top Three Myths about Big Data Security

    Sponsored by: IBM

    In this informative white paper get the top 3 myths about big data security that are preventing companies effectively securing their big data. Read on to learn how you can implement an effective big data security system to protect your valuable customer data.

  • Operational Intelligence: Real-Time Business Analytics from Big Data

    Sponsored by: Splunk

    Access this white paper to discover how paring business intelligence and data warehousing tools with operational intelligence tools can help you easily analyze unstructured data. Read on to dive deep into the technology behind operational intelligence, and learn about where this tool is best used.

  • Riding the Third Wave: The IoT's Impact on Businesses in Asia

    Sponsored by: Digital Realty

    This white paper explores how the Internet of Things (IoT) is changing the way organizations do business. Additionally, this paper examines how IT leaders can prepare their data centers to ensure survivability and ultimately capitalize on the IoT movement.

  • 3 Big Data Myths, Busted

    Sponsored by: Qlik

    Any business today can talk about the big benefits of big data, but why is it that so many of them fail to actually realize these benefits themselves? Because they are thinking about it all wrong. This white paper covers the top 3 big data myths and offers insight into how to overcome much of the damage caused by these bits of false information.

  • Big Data vs. Big Industries: Why it Matters to You

    Sponsored by: Qlik

    This informative white paper from CITO Research hones in on an exceptional big data tool, like the QlikView® data discovery platform that allows users to create a far richer view of their business and the wider world. See how by using this tool, it becomes much easier to tap into data trends, make concrete business improvements, and more.

  • An Introduction to Amazon Redshift

    Sponsored by: Global Knowledge

    In this article, explore what Amazon Redshift is as well as what it is not. Find out how it compares with the costs, performance, support for third-party virtualization tools, scale and reliability. Also, examine a comparison of Amazon Redshift versus other solutions.

  • IBM vs. SAP vs. the rest: Find out what IT pros think

    Sponsored by: IT Central Station

    With the number of enterprise level data warehouse appliances available today, how can you be sure that your next purchase will be the right one for your organization's needs? In IT Central Station's premium guide, you'll discover what real IT professionals think about the market's top solutions based on their experiences.

  • ESG: Serving up big data and analytics with System x M5 servers

    Sponsored by: Lenovo

    Download and read this analyst paper to learn how the new System x M5 servers, efficiently powered by the latest Intel® Xeon® processors, provides businesses with a powerful yet affordable cloud infrastructure to meet today's demands and tomorrow's growth.

  • Big Data, Big Mess: Sound Cyber Risk Intelligence through “Complete Context”

    Sponsored by: SurfWatch Labs

    The key to using big data for better security is to combine it with human expertise, and this white paper tells you how to do that.

  • IBM DB2 BLU Acceleration vs. SAP HANA vs. Oracle Exadata

    Sponsored by: IBM

    Discover which vendor offers the solution that most closely meets your business needs in the following white paper. Access now to get a firsthand look at how IBM BD2 BLU Acceleration, SAP HANA, and Oracle Exadata compare when it comes to specific big data analytic capabilities.

  • Cognos: BI: IBM Cognos Data Manager - Data integration for the last mile to BI

    Sponsored by: IBM

    This white paper explores the major challenges associated with integrating data and the key processes and factors associated with developing a conformed, dimensional data warehouse solution.

  • Data Warehouses Still Relevant After All These Years

    Sponsored by: SearchDataManagement

    Hadoop and NoSQL databases have bumped data warehouse systems out of the IT spotlight. But data warehouses are still central to BI and analytics architectures -- and still evolving.

  • TechTarget Solution Spotlight: Big Data Challenges & Pitfalls

    Sponsored by: IBM

    Access this expert e-guide to get real-world strategies and advice on how best to manage your big data warehousing and processing, and common pitfalls to avoid.

  • The Challenges Behind Data Integration in a Big Data World

    Sponsored by: Scribe Software Corporation

    This expert e-guide reveals the increased complexity behind big data projects, and how new approaches to data integration and governance are required. Additionally, learn why centralizing data integration may not be the best answer to tackling organizations' ever-increasing amounts of distributed data.

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