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Data Warehouses Research

  • Better Together? Hadoop and Your Enterprise Data Warehouse

    Sponsored by: SAS

    Explore ways to overcome the challenges of moving your entire data warehouse to Hadoop. Plus, hear from big data expert Tom Davenport on augmenting small data projects with Hadoop big data initiatives.

  • Five Things to Look for When Implementing a Data Warehouse

    Sponsored by: IBM

    Discover a 5-step checklist for important criteria in selecting data warehouse technologies, backed by a recent study.

  • 3 Ways to Modernize Your Data Strategy in Minutes

    Sponsored by: Google

    Today's organizations are rushing to create actionable insights out of their big data, and this starts with modernizing data warehouses. This white paper provides 3 tips to making your warehouse stronger, smarter, and more profitable.

  • Managing Data Complexity: Does Your Warehouse Measure Up?

    Sponsored by: IBM

    Learn how to see an increase in revenue by receiving timely data. Access this quick guide to find your way to a Hybrid data warehouse report by Aberdeen Group.

  • Boost Business Returns with Faster, Smarter Data Lakes

    Sponsored by: Teradata

    To realize the value in organizational data, it is imperative that organizations align forces; choosing the right data lake approach to support business strategy and growth. Learn about Kylo, an open-source data lake management software platform, and how it incorporates data quality, governance, monitoring and more.

  • How Hybrid Cloud Options Complement the On-Premises Data Warehouse

    Sponsored by: Teradata

    In this double case study, learn how Core Digital Media, an online marketing company, and an anonymous global mining company, adopted Teradata cloud to complement their on-premise data warehouses. Discover the benefits both realized, including lower costs and greater flexibility.

  • The Current State of The Cloud Analytics and Data Warehouse Market

    Sponsored by: Teradata

    As adoption of cloud software increases, organizations are evaluating the pros and cons of deploying software on the cloud – including data warehousing tools. In this IDC technology spotlight, uncover the current state of the cloud analytics market. Plus, learn about Teradata, a provider of big data analytics and marketing applications technology.

  • AWS and Data Warehousing: Extending Your Data Analytics With The Right Tools

    Sponsored by: Looker

    Amazon Web Services (AWS) sets a standard for delivering customers a wide range of innovative cloud services. Learn about Amazon Webshift, which extends the power of AWS by providing a high-performance data warehousing tool and data management for today's new analytics workloads.

  • How To Accelerate Time-to-Value with a Modern Data Stack: 3-Product Overview

    Sponsored by: Looker

    The explosion of data has created a need to rapidly derive business insights and value from data. But the complexity of setting up and managing a data stack pose challenges when time is of the essence. In this product data sheet, learn about Looker, Panoply and Stitch – products that can help you manage your data analytics for faster insights.

  • How Dollar Shave Club Cuts The Competition With a Data Advantage

    Sponsored by: Looker

    How does a small e-commerce business with a good idea - and a great sense of humor - solve their data bottleneck and go up against leading retail giants to win? Ask Dollar Shave Club. In this case study, learn how this e-commerce upstart trimmed its data bottleneck considerably.

  • Big Data Integration: 3 Vendors Changing the Game

    Sponsored by: Looker

    How are you going to get more value from your data lake? 3 vendors — Looker Data Sciences, SnapLogic, and Snowflake Computing — offer new ways of making processes faster and more valuable. Inside this Forrester Research Inc. report, learn how they're pushing the boundaries of big data integration with new ideas about how to get value faster.

  • The Ins and Outs of Harnessing Hadoop

    Sponsored by: TechTarget

    Hadoop clusters make it easier for organizations to process and analyze streams of big data. But there are limits to what the open source technology can do, plus implementation and management challenges. Gain expert advice on using big data to generate business value and competitive advantages in our exclusive resource.

  • 5 Experts Reveal Big Data Trends, Strategies, and Tools

    Sponsored by: TechTarget

    Take our survey and learn from 5 experts about big data trends, strategies, and tools. Just answer our questions, and you'll gain access to our guide: What It Takes To Master Big Data Projects.

  • How to Achieve Personalized, Faster Data For Better Business Outcomes

    Sponsored by: Microsoft

    80% of CEOs view data mining and analysis as strategically important. But as investment in data and analytics has risen, satisfaction in analytic capabilities has decreased. Inside this Forrester Research Inc. report, learn how to make today's data relevant, timely, and impactful to attain the CEO's mandate for the digital business.

  • 3 Ways to Modernize Your Data Strategy with Google Cloud

    Sponsored by: Google

    No less than 76% of companies are taking steps to improve their existing data warehouses. But as big data keeps getting bigger—and more vital—traditional approaches to storing and analyzing it can't keep up. Learn 3 ways to modernize your data strategy to keep up using Google Cloud.

  • Data Replication and Oracle Databases: Top 5 Reasons to Choose SharePlex

    Sponsored by: Quest

    This white paper takes a closer look at SharePlex, one of your options for data replication in Oracle environments. Uncover the top 5 reasons for considering SharePlex and learn how to optimize database management with a comprehensive and scalable strategy.

  • Approaches to SAP HANA Adoption: ERP, Business Intelligence, and More

    Sponsored by: Red Hat

    In this expert e-guide, we explore how organizations across a variety of industries are leveraging SAP's in-memory platform to enhance reporting, analytics, self-service BI, ERP transformation, mobility, and more. Discover which approach to SAP HANA – on premise, in the cloud, or via mobile apps – is best for you.

  • The Enterprise-Wide Benefits of Real-Time Data

    Sponsored by: Tealium

    Organizations that support real-time customer data enable marketers and data analysts to work with the same source, closing enterprise-wide gaps in insights. Read on to learn more about real-time data enrichment tools.

  • Big Data Poses Weighty Challenges for Data Integration Best Practices

    Sponsored by: SearchDataManagement

    Organizations that deploy big data platforms are finding that they also need an upgraded data integration framework to meet rising demands. In this expert handbook, uncover advice on how to navigate the demands of big data architectures, high volume data warehousing, and data lakes by updating your data integration strategy.

  • HPC and HPDA for the Cognitive Journey

    Sponsored by: IBM

    Big data holds great potential, but right now it's getting in the way, impinging on performance and scaling across most industries. Access this extensive white paper to prepare yourself to not just handle the mountain of data, but mine it for insights that will fuel your organization.

  • Drive Deeper Insights across Data with SQL Server 2016

    Sponsored by: Microsoft

    Explore how SQL Server 2016 can help drive deeper insights into big data from both relational and non-relational sources, in the cloud and on-premise. Discover how SQL Server 2016 helps you store data in more formats at scale, open up data access, provide predictive analytics, and share insights on-premise, via the web, and through mobile devices.

  • Why Your Data Warehouse Needs a Data Lake and How to Make Them Work Together

    Sponsored by: Zaloni

    Complementing your DW with a data lake can be a smart first step. But before tackling a DW augmentation project, it's a good idea to review your current resources and understand what you'll need. Explore 2 reasons why companies augment their DW, tips for seamlessly integrating a data lake into a DW, and more.

  • How Hadoop Can Make Integrating Structured And Unstructured Data Simple and Easy

    Sponsored by: IBM

    Access this white paper to learn how Hadoop can serve as an integration platform to harmonize data in a way that can be processed in relational databases and data warehouses. Inside, discover how Hadoop acts as a data lake, making mining for important information simple, simplify data access for non-technical users, and more.

  • Benefits and Pitfalls Of Hadoop Adoption

    Sponsored by: IBM

    Learn 6 reasons to consider Hadoop for your data management and analytics program, and discover several reasons why such a large program may not be the right fit for you (e.g. you work mainly in SQL or you need high levels of security).

  • Hadoop Makes Big Data Storage Accessible For Everyone

    Sponsored by: IBM

    Discover how Hadoop flipped the traditional big data storage paradigm by adopting a philosophy of using commodity hardware and storage to build the equivalent of a data warehouse at a much lower cost. Learn how Hadoop's extreme flexibility gives it the ability to natively scale-out and accommodate both structured and unstructured data.

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