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Data Warehouses Research

  • Data Warehouse Appliances: Impact and Best-in-Class Capabilities

    Sponsored by: IBM

    In this Aberdeen Group research report, learn how data warehouse appliances enable organizations to perform varied and complex analytics to support data-driven decision-making. Additionally, explore the impact organizations are experiencing with data warehouse appliances and near real-time analytics.

  • Unify Data Access Across the Logical Data Warehouse

    Sponsored by: IBM

    By 2020, there will be over 30 billion connected devices. This webcast goes into detail about what this means for the future of data and explains how a logical data warehouse strategy can help you keep up by allowing you to access all your relevant data from a single application.

  • Leveraging Apache Hadoop and a Big Data Platform to Accelerate Time to Value

    Sponsored by: IBM

    In this white paper, learn about a hardware-agnostic software platform that provides new ways of using diverse and large-scale data collections, providing access to insights that were previously unattainable.

  • The Integral Parts of a Logical Data Warehouse

    Sponsored by: IBM

    In this detailed white paper, explore the paradigm of the logical data warehouse in the era of big data and how the components work together. Additionally, learn which workloads will perform best on which components, and compare costs.

  • A Review of SQL Server 2016

    Sponsored by: Microsoft

    This white paper delivers the information you need to determine if SQL Server 2016 is a sensible upgrade for you. Learn about upgrades to availability, scalability, security, analytics—including support for non-relational queries and a variety of devices—and stretch database technology that makes cloud integration seamless.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • Getting Data into your Big Data Cluster

    Sponsored by: Rackspace

    The following resource examines the various approaches to migrating your data into cloud big data clusters. Inside learn why the method matters extensively based on where your data is stored and ultimately, uncover the method that ensures success with Hadoop.

  • A Guide to Easing Your Big Data and Hadoop Management

    Sponsored by: Rackspace

    In this white paper, you will discover how to reap the benefits of big data without getting bogged down in deployment, optimization and maintenance challenges—by utilizing a big data management platform. Read on key into Hadoop management challenges and how to overcome them.

  • 3 Biggest Challenges of Implementing Big Data Analytics in Healthcare

    Sponsored by: Dimensional Insight, Inc.

    In this e-guide, Naeem Hashmi discusses strategies to overcome episodic culture, data puddles, and IT leadership challenges in order to exploit the value of big data in healthcare organizations.

  • Buyer's Guide: Hadoop Offers Economical Options for Managing Big Data

    Sponsored by: SearchDataManagement

    There's more to Hadoop than meets the eye. Along with its core components, there are a whole slew of related software tools packaged by vendors into commercial Hadoop distributions. In this expert Hadoop software tool buyer's guide, learn about features and functionalities, and economical options for managing and analyzing big data in Hadoop.

  • Date Lake: Adoption and Maturity Survey Findings Report

    Sponsored by: Attunity

    Back by insights from 385 IT practitioners, this report, produced by Radiant Advisors and Unisphere Research, reveals the findings of data lake adoption and use cases.

  • Strategies, Solutions, and Advice for Leveraging Big Data and Unlocking Your Competitive Edge

    Sponsored by: Cisco Systems, Inc.

    Access this exclusive e-zine to learn the strategies, solutions, and providers that can help you unlock your big data competitive edge – including insight and updates from leading Hadoop vendors, solution bundles that take the guesswork and complexity out of big data deployments, and more.

  • 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.

  • 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. Learn what requirements are needed to process big data so that your enterprise can gain valuable customer insight.

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

    Sponsored by: ComputerWeekly.com

    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.

  • 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.

  • 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.

  • BI in the Sky: Making Cloud Analytics Work

    Sponsored by: SearchBusinessAnalytics

    How can you decide if you should invest in cloud BI tools? Learn crucial information about cloud BI and analytics for IT decision-makers. Discover the biggest trends, benefits, and challenges of cloud BI tools.

  • 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. In this e-handbook, expert contributors Wayne Eckerson and Rick van der Lans argue that 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.

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