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Data Warehouse Software Research

  • 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.

  • Building a Smart Data Lake

    Sponsored by: Cambridge Semantics

    In this short video you will learn how top companies are creating "smart data" that can be used anywhere in the organization. Read on to discover how the smart data lake can help you solve your most pressing business challenges.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • Technical Datasheet: Analytics Platform System Explained

    Sponsored by: Dell and Microsoft

    What data warehousing options exist that check off the Big Data and BI boxes, all while keeping costs low? Access this informative technical datasheet to see one system broken down to the granular level, with all features and benefits laid out in plain sight. Read on to see if such a system, with these capabilities, is the right fit for you.

  • Big Data and Business Intelligence: Data Warehousing Systems That Do The Job

    Sponsored by: Dell and Microsoft

    What data warehousing systems exist that are both easy to implement, and tackles your BI needs? This whitepaper gives the inside scoop on one product that promises to deliver on the Big Data promise - all while keeping your implementation efforts to a minimum. Read on to see if a system like this could be right for you.

  • Make your transition to the cloud an easy one

    Sponsored by: TechTarget

    Learn how to have a seamless transition to the cloud with our expert e-guide, How to Overcome Data Integration Obstacles. Answer a few brief questions in our data integration survey to get your complimentary copy.

  • 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.

  • 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.

  • 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.

  • 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.

  • Is the Data Warehouse Dead?

    Sponsored by: IBM

    This survey investigates the current state of the data warehouse. Read on to examine its competition: Big Data solutions as an alternative.

  • 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.

  • Should HANA Be a Part of Your Enterprise's Future?

    Sponsored by: SearchSAP

    With Business Suite 4 SAP HANA, SAP has underlined its commitment to its in-memory database.

  • 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.

  • Windows Flash Array

    Sponsored by: Violin Memory

    Find out how your organization can utilize one product that offers superior performance and economics without having to change your existing IT resources.

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