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Data Warehouses White Papers

  • Big Data Universe Expands

    Sponsored by: SearchDataManagement

    The once insurmountable barriers to buying and applying BI big data analytics tools have lowered dramatically, allowing companies of all sizes to benefit from the products.

  • Staying Agile with Big Data

    Sponsored by: Red Hat

    Big data projects add unique challenges to business case, skillset and vendor selection issues typical of business initiatives. Access this white paper to learn why it's important to create flexible big data initiatives with evolving needs and technologies in mind.

  • 10 Ways Data Preparation Can Assist Excel Data Analytics

    Sponsored by: Datawatch Corporation

    In this white paper, you will learn how to enrich, blend, and combine disparate data sets with a self-service data preparation solution for Excel. Access this paper now to key into the 10 most effective ways data preparation can assist your Excel-run data analytics.

  • Optimizing Your Enterprise Data Warehouse with Hadoop

    Sponsored by: Hortonworks

    This white paper examines the challenges with enterprise data warehouses (EDW), and explains how Hadoop can effectively optimize your EDW. Learn how you can archive data to Hadoop and away from EDW, offload costly ETL processes to Hadoop, and more.

  • Scaling Data Integration to Handle Big Data

    Sponsored by: IBM

    This informative white paper discusses the need for new data and how to scale data integration to handle Big Data. Access now to see what requirements need to be met to process Big Data so that your enterprise can gain valuable customer insight.

  • Four Critical Concepts for Planning the Logical Data Warehouse

    Sponsored by: IBM

    Even modern data warehouses can hold back your business. In this white paper, learn four key facts you need to know before choosing a data warehouse.

  • Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics (Gartner)

    Sponsored by: IBM

    In this Gartner report, you will find a comparison of 17 of the major data warehouse vendors, including Amazon Web Services, Oracle, IBM, and more. Learn the pros and cons of each vendor, along with the criteria used for these analyses and a market overview, to further help you to understand the state of data warehousing for analytics today.

  • Easing the Way Toward Frictionless Data Discovery

    Sponsored by: IBM

    In this white paper, learn about the difficulties encountered when using traditional manual methods of prior data integration, and how data virtualization can ameliorate data distribution challenges. Additionally, learn about a modern virtualization and integration option that provides deep data context, bridges relational data islands, and more.

  • A Computer Weekly Buyer's Guide to Big Data Appliances

    Sponsored by:

    In this 12-page buyer's guide, Computer Weekly looks at how enterprises are using SAP Hana for in-memory data marts and SAP Business Warehouse implementations; why a big data appliance should be chosen carefully to ensure its value to the business; and why simplicity & big data are driving appliance adoption.

  • The Ins and Outs of Harnessing Hadoop

    Sponsored by: TechTarget

    Hadoop clusters make it easier for organizations to process and analyze streams of big data. But there are limits to what the open source technology can do, plus implementation and management challenges. Gain expert advice on using big data to generate business value and competitive advantages in our exclusive resource.

  • Getting More Out of Hadoop Data Lakes And Big Data

    Sponsored by: Cambridge Semantics

    Access this exclusive e-guide for expert opinions on data integration processes and the use of Hadoop for data analytics. Read now to see how an efficient Hadoop data lake can help your enterprise use data proactively, in real-time, to improve your business processes and customer relations.

  • Guiding Principles on Transitioning to New BI Environments

    Sponsored by: Hewlett Packard Enterprise

    This white paper provides you with advice on how to transition to a new BI environment with SQL Server 2014. Read on to learn how your business can build momentum and expansion with industry-leading services and the ability to query data warehouse and create dashboards that contain drill down capabilities, and more.

  • Hadoop and the Modern Data Supply Chain

    Sponsored by: Attunity

    In this white paper, learn how organizations are coordinating multiple data sources in a data supply chain, enabling insights to travel nimbly throughout the enterprise. Additionally, learn the pros and cons of using Hadoop to process data, and how you can modernize the way you use data.

  • Is The Data Warehouse Dead?

    Sponsored by: IBM

    This white paper investigates the current state of data warehouses as big data comes to the forefront as an alternative. Read on to see what a survey of you peers thought regarding the question of the death of data warehouses.

  • Manage Big Data With Graph-Aware Tools

    Sponsored by: Cambridge Semantics

    This informative document shows how graph-aware tools can eliminate the need to compromise between a data warehouse and data swamp. Read on to see how this database technology can allow your company to work with more flexibility and greater accuracy, turning your data assets into a competitive advantage.

  • How Hadoop Efficiently Manages and Mines Big Data for Valuable Insights

    Sponsored by: IBM

    At a high level, key business challenges can be mitigated with an Apache Hadoop approach to analytics, data processing and warehousing. Explore ways to overcome obstacles related to operational efficiency, advanced analytics, and more.

  • IBM Data Warehousing modern ecosystems designed for big data and analytics

    Sponsored by: IBM

    This white paper discusses the new challenges associated with effectively managing data, and offers a data warehousing solution to overcome them. Read on to see 5 ways your organization can innovate today.

  • Hadoop for the Enterprise: Making Data Management Massively Scalable, Agile, Feature-Rich, and Cost-Effective

    Sponsored by: IBM

    This in-depth white paper describes how Hadoop is taking on a new role in enterprises as a means of handling both data storage and analytics. Download this white paper now to learn about the top Hadoop implementation trends and best practices.

  • Discovering Real-Time Insights with Machine Data

    Sponsored by: Splunk

    This white paper lets you see beyond the data warehouse to include machine data as a critical new source of business value. Learn how optimizing this data source will help you identify patterns, outliers and trends in your organization.

  • Delivering New Insight and Value to Consumer Product Companies Through Big Data

    Sponsored by: IBM

    This white paper provides an overview of the state of big data today. Discover ways consumer products (CP) companies can benefit from new technologies, how big data implementations help manufacturers improve outcomes and increase customer loyalty, and what companies need to consider when deploying big data tools.

  • The Benefits and Challenges of the Cloud

    Sponsored by: Oracle Corporation

    A growing amount of companies are cloud-bound, particularly for sales and marketing applications - but are they correctly leveraging data with these apps? Discover answers to your integration inquiries and other expert cloud tips in the following e-guide.

  • Top Factors to Know About the Cloud

    Sponsored by: Looker

    In this e-guide, Amazon Web Services' general manager of data science, Matt Wood, shares expert insight on cloud pricing, federation, compliance, and data localization. Additionally, explore Amazon Redshift's features and how it's changing the game for data warehousing in the cloud.

  • TDWI Checklist: 8 key steps for modernizing a data warehouse

    Sponsored by: IBM

    Read this report to explore the leading business reasons for modernizing a data warehouse, plus the common technical measures taken today for data warehouse modernization.

  • Top 5 Big Data Integration Mistakes to Avoid

    Sponsored by: Oracle Corporation

    In this white paper, discover the five vital mistakes that lead to failures in big data projects and how to avoid them.

  • Expert Advice on Today's Database Market

    Sponsored by: SearchDataManagement

    Read this special edition of Business Information for advice from data management consultant and author Craig S. Mullins on today's database market. Learn about new data types which call for new approaches, like storing data in memory instead on of disk, or turning to NoSQL technologies.

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