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Data Warehouses Research

  • Business Information ANZ January 2016

    Sponsored by: TechTarget ANZ

    This issue looks at the challenges Australian organisations have turning the large volumes of data they collect to their advantage.

  • Accelerating your Legacy Data Architecture to Promote Growth

    Sponsored by: Dell, Inc. and SanDisk®

    In this resource learn how you can address 4 common challenges of working with a legacy data architecture. Discover how your business can successfully leverage data leads to gain a competitive advantage and promote growth.

  • Getting Started with Hadoop on Openstack

    Sponsored by: Rackspace

    The following resource will provide readers with an example of how to get started with Apache Hadoop in the cloud. Inside, learn how to launch Hadoop cluster with two nodes and growing up to 64 nodes.

  • 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.

  • 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.

  • Searching for Better Big Data Business Value? Look to the Cloud

    Sponsored by: Oracle Corporation

    In this brief video, you will discover a big data cloud service that utilizes the latest advances in big data processing and unifies these processes with Oracle's Big Data SQL. Tune in to access the benefits of cloud-enabled data management.

  • 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.

  • 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.

  • 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 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.

  • A Review of the SQL Server 2016

    Sponsored by: Microsoft

    This datasheet highlights the key features of SQL Server 2016. See why this release is expected to deliver breakthrough mission critical performance and deeper insights across any data on many devices, enabled by the power of hyperscale cloud.

  • An Enterprise Approach to Big Data

    Sponsored by: Optum

    In this webcast, the CIO of UC Irvine Health discusses how his institution implemented big data practices that empowered population health management initiatives and value-based care.

  • Agile Methods for BI, Data Warehousing

    Sponsored by: SearchDataManagement

    Agile business intelligence and data warehousing initiatives can help streamline development of data warehouses and BI applications. This virtual classroom is designed to provide IT, BI and data warehouse managers with insight and advice on managing Agile BI projects.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

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