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Data Warehouses White Papers

  • Journey to the Data Lake: A Modern Data Architecture with Apache Hadoop

    Sponsored by: Hortonworks

    In this paper, you will examines the functionalities of Apache Hadoop as a data platform, and discover how to integrate Hadoop into your modern data center architecture, alongside the data warehouse. Learn how to deliver an enterprise data lake by reading on, and augment existing insight with multi-workload data processing.

  • 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.

  • 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.

  • SQL Server and the Data Platform

    Sponsored by: Microsoft

    This data sheet presents three reasons SQL Server is beneficial to the enterprise, offering details about each one. Discover why building, deploying, and managing solutions that span on-premises and cloud environments just got easier.

  • The Integral Parts of a Logical Data Warehouse

    Sponsored by: IBM

    In this detailed white paper, explore the paradigm of the logical data warehouse and how the components—which include Hadoop and the data warehouse—work together. Additionally, learn which workloads will work best on which components, and see the total cost of ownership of each component of the logical data warehouse.

  • Integrating Big Data Systems with Enterprise Data Warehouses

    Sponsored by: Oracle Corporation

    In this white paper, you will learn how to both maximize the business benefits of big data and minimize the risk of adopting new technologies with a unified query system. Read on to allow a single query to access data in multiple stores—be they Hadoop, NoSQL or relational databases.

  • Data Warehousing: Embrace BI Speed and Simplicity for a Competitive Edge

    Sponsored by: IBM

    This resource describes how a simplified data warehouse can result in low costs of ownership and more time available to engage and champion data-driven decision making. Learn how a strategy of simplicity that also analyzes data rapidly allows you to gain insight quickly and at low cost.

  • Turn Complex, Internet-scale Information into Insight

    Sponsored by: IBM

    This white paper discusses how you can tame big data with a Hadoop-based platform that offers features like professional-grade visualization, development, and administration tooling, application accelerators, and more.

  • Survey Results: Is the Data Warehouse Dead?

    Sponsored by: IBM

    Are big data solutions complementary approaches to the conventional data warehouse, or do they signal the end of the data warehouse? This research report presents the results of a survey conducted to discover the answer to this question.

  • 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.

  • Getting Real About Big Data: Build Versus Buy

    Sponsored by: Oracle Corporation

    When it comes to updating your big data infrastructure, should your business build a customized solution, or should you buy one? This white paper explores the pros and cons of both sides, and can help you determine what big data infrastructural model is right for your organization.

  • 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's a whole slew of related software tools packaged by vendors into commercial Hadoop distributions.

  • 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.

  • 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.

  • 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

    Sponsored by: IBM

    In this Magic Quadrant report, compare 17 of the major data warehouse vendors, including Amazon Web Services, Oracle, IBM, and more. Learn the pros and cons of each vendor 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.

  • Understanding InfoSphere BigInsights - An Introduction for Software Architects and Technical Leaders

    Sponsored by: IBM

    This white paper describes one big data platform, which includes software for processing streaming and persistent data. Read on to get an in-depth look at how this platform makes sifting through large volumes of diverse data practical, contains built-in analytics technology, 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.

  • 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.

  • 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.

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