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Data Warehouses Research

  • 6 Simple Steps for Replatforming in the Age of the Data Lake

    Sponsored by: StreamSets

    As it turns out, the key to replatforming is understanding the implications of building, executing and operating dataflow pipelines. This white paper is designed to help navigate the replatforming process and provides 6 simple steps to help you meet your replatforming goals.

  • Succeed with BI on the Data Lake

    Sponsored by: AtScale

    Listen to this webcast for tips on how to get BI out of a data lake from CDOs who have done it themselves, including 10 do's and don'ts.

  • Transforming Data Management with Autonomous Warehousing

    Sponsored by: Oracle Cloud

    Can your data warehouse manage rapid data and user growth? Is it growing too complex to manage efficiently? These questions and more cross the minds of CIOs as they evaluate their data management strategies. Learn how you can modernize your data warehouse and keep pace with today's data demands.

  • Is a Cloud Data Warehouse Right for You?

    Sponsored by: SnapLogic

    Use this Eckerson Group research to learn more about the benefits and challenges of a cloud data warehouse, and assess your business' readiness for a move on factors including agility, security and networking.

  • The Data Lake Data Integration Challenge

    Sponsored by: SnapLogic

    This white paper explores how to update data integration to meet the unique challenges of big data and data lakes. With insights backed by Linthicum Research, learn how to meet the core data integration, governance, and security needs of data lakes.

  • Your New Autonomous Data Warehouse

    Sponsored by: Oracle Corporation

    Managing and analyzing data in the cloud is the path of the future, if not the present for many leading enterprises. Introduce yourself to the features and benefits of Oracle Autonomous Data Warehouse Cloud.

  • Self-Driving Data Warehouse

    Sponsored by: Oracle Cloud

    Businesses today are relying on data-driven insights and analysis to give them a competitive advantage, meaning that data is being collected and utilized in greater volumes than ever before. Discover how an autonomous warehousing solution can increase your data warehousing efficiencies to keep up, and the unique features it provides.

  • Igniting Discovery: Built-for-the-Cloud Data Integration

    Sponsored by: SnapLogic

    A pharmaceutical company sought daily data analytics to learn more about industry trends. Discover how the company turned to a cloud-based data integration platform that was easy to use for business and IT users.

  • Benefits of Cloud Data Warehousing

    Sponsored by: Informatica

    Businesses can bypass the traditional on-premises approach by building their data warehouse in the cloud, which can cost less to get off the ground and maintain. Download this 66-page workbook that explains how you can get started with a cloud data warehouse and what some of your options are.

  • The New Oracle Autonomous Data Warehouse Cloud

    Sponsored by: Oracle Corporation

    Learn about an autonomous data warehouse, built on the power of Oracle and designed to help you increase automation, support cloud compatibility, and maintain data security.

  • Are You Ready to Move to Self-Service Analytics Democratization?

    Sponsored by: Oracle Corporation

    Learn about the growing impact of self-service apps on modern analytics activities. Plus, explore the influence an autonomous data warehouse in helping business users and IT work together to produce faster insights.

  • Jump-Start Your Cloud Data Warehouse

    Sponsored by: SnapLogic

    Download this resource for the benefits and challenges of cloud data warehousing, and receive a 5-step guide to migrating to a cloud data warehouse.

  • Emerging Trends in Modern Data Integration

    Sponsored by: Information Builders

    This white paper examines some of the modern integration techniques that are emerging in response to trends like big data, advanced analytics, and IoT. Find out which technologies are shaping today's data integration tools, including data lakes, cloud, APIs, and more.

  • Successfully Managing Data in a Cloud Data Warehouse

    Sponsored by: Informatica

    Moving data to the cloud is inevitable for many businesses, especially those that want to scale up and get insights out of their data. Use these best practices to successfully manage your data in a cloud data warehouse.

  • Data Warehouse Approaches to Meet Today's Analytics Demands

    Sponsored by: IBM

    It's time to consider if a traditional data warehouse is up to the challenge of modern analytics requirements. Explore how a new kind of data warehouse can help with unstructured and streaming data.

  • The Hybrid Data Warehouse: Fluid, Flexible, and Formidable

    Sponsored by: IBM

    The challenge for companies today, particularly those beholden to legacy systems and IT bureaucracy, is that this growing demand for analytics often outstrips their ability to service it. Explore how a hybrid data warehouse can help.

  • Data Warehouse Appliances and the New World Order of Analytics

    Sponsored by: IBM

    A single data warehouse might not be able to handle all of your analytics needs anymore. Explore the capabilities of an extended data warehouse architecture and discover how it differs from a traditional structure.

  • Big Data Analytics Market Study

    Sponsored by: MicroStrategy Incorporated

    Tap into this Dresner Advisory Services study of nearly 4,000 organizations to see several big data trends based on geography, industry and use.

  • Highly Elastic Cloud Data Warehouse Supports a Hybrid Architecture

    Sponsored by: IBM

    Explore how a fully managed and highly elastic cloud data warehouse supports a hybrid architecture and enables efficient data movement between an on-premises location, a public cloud and a private cloud.

  • The Hybrid Data Warehouse: Fluid, Flexible, and Formidable

    Sponsored by: IBM

    Explore how a hybrid data warehouse can help you maximize modern technologies and deployment styles for both on-premises and cloud deployments.

  • Successful Data Warehouse Approaches to Meet Today's Analytics Demands

    Sponsored by: IBM

    Find out how to support increasingly demanding transactional and analytic workloads so that you can enable more intelligence-driven decision-making by creating a hybrid data warehouse architecture.

  • Bridging to the Cloud: The Right Database can Make the Difference

    Sponsored by: IBM

    Learn about 7 factors that you should consider when making a strategic commitment to a database platform that acts as a bridge between legacy environments and the cloud.

  • Apache NiFi for Dummies

    Sponsored by: Hortonworks

    Although data lakes have emerged to help businesses analyze data that's stored in isolation, they still don't enable data movement by themselves. That's what Apache NiFi is designed to help with.

  • How Owens-Illinois Successfully Moved from a Legacy Database

    Sponsored by: IBM

    Owens-Illinois, a Fortune 500 glass company, realized they needed to migrate off their legacy database environment that they used for a decade. In this webcast, hear the steps that enabled Owens-Illinois to successfully move to IBM Db2 and gain a 30% improvement in data warehouse performance.

  • The Enterprise Data Warehouse Lives on the Beating Heart of the Data Lake

    Sponsored by: Hortonworks

    Your enterprise might think it has to choose a data lake or a date warehouse, but there is a way to have both. Discover how the 2 technologies can be complementary and still cost-effective.

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