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Data Warehouses White Papers

  • Back to the Future: Reclaiming the Vision of Data Centralization

    Sponsored by: Looker

    Explore how you can create a centralized data model that becomes a common language, which empowers collaboration across departments.

  • Five Reasons You're Not Getting the ROI You Expect from Your Cloud Data Warehouse Investment

    Sponsored by: Looker

    There would be no point in buying an iPhone to use it only as a watch, and the same goes for cloud data warehousing. To completely fulfill the promise of a cloud data warehouse, you must take advantage of what the cloud makes possible. Learn 5 ways you may be sabotaging the success of your cloud data warehouse, and find 3 ways to move forward.

  • Run Critical Databases in the Cloud

    Sponsored by: Oracle Corporation UK Ltd

    This white paper explores the question of whether or not a public cloud is suitable place to house your key databases. Learn about the Oracle Database Cloud, and find out how you can leverage a secure database as a service (DBaaS) platform.

  • Empower LOB Managers with Cloud Apps and Databases

    Sponsored by: Oracle Corporation UK Ltd

    From marketing and sales to HR, finance, and beyond, many LOB managers are taking lead in incorporating more cloud technologies into their own business strategies. Find out how to craft your cloud app strategy and examine a variety of Oracle's cloud-based offerings.

  • Modern Big Data Management Systems

    Sponsored by: TechTarget

    In this edition of our exclusive e-zine, Business Information, our team of market experts explores the latest data management trends: AI, IoT, DW, and machine learning. Dive into AI and IoT use cases, where companies focus on big data management deployments, how Swisscom's digital transformation reduced their DW size by 80%, and much more.

  • DataOps Infographic

    Sponsored by: Delphix

    In this infographic, explore the challenges of digital transformation and the impact of DataOps on businesses.

  • Got An Oracle-Based App Running Slowly?

    Sponsored by: Cintra

    When confronted with slow-running apps, uncover 4 key questions of performance enhancement for apps running on Oracle databases.

  • Datalex Grows Its Cloud Customer Base By 25% With Cintra Blueprinted Exadata Architecture

    Sponsored by: Cintra

    Find out how airline commerce giant Datalex overcame performance and capacity challenges with its private cloud that were caused by the limitations of the legacy architecture that underpinned critical Oracle databases.

  • The Modern Approach to Business Intelligence

    Sponsored by: Tableau Software

    Whether you're working with data in spreadsheets, warehouses, or across disparate data sets, this white paper explores how to improve analytics and access to real-time insights. Uncover the 7 key attributes that are shaping the modern approach to business intelligence.

  • Analytics in Action: Tackling the Big Data Headache

    Sponsored by: SAS

    Find out how to take the big data challenge and turn it into a golden opportunity for your company with new approaches to data management and analytics. Learn about 5 steps to maximize the value of Hadoop and your data warehouse, 3 use cases for predictive analytics, and more.

  • 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.

  • 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.

  • 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.

  • Forecasting BI Trends In 2017

    Sponsored by: Yellowfin

    This BARC Research Study reveals a comprehensive picture of regional, company and industry specific differences in the BI market. The study is broken down into 6 areas, discussing top trending topics in BI this year, which industries are best leveraging BI, how the perception of the importance of BI trends varies across the world and more.

  • Cloud-Based BI and Analytics Systems Start Taking a Firmer Shape

    Sponsored by: SearchBusinessAnalytics

    In this expert handbook, explore the current state of cloud BI and analytics adoption and examine how companies like Lenovo are migrating big data and predictive analytics to the AWS cloud.

  • High Performance Infrastructure for Genomic Medicine

    Sponsored by: IBM

    Access this white paper to learn how high performance infrastructures are helping the healthcare industry, specifically in the field of genomics, make remarkable advances, and how your organization could benefit from the same level of data management.

  • 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.

  • 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.

  • 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.

  • How Embedded BI Programs Turn Analytics Into Action Fast

    Sponsored by: SAP

    In this expert e-guide, you'll discover 10 best practices for implementing a fast new BI platform or improving your existing one. Then, learn the story of how Urban Airship Inc. developed an embedded analytics program of their own.

  • Data Warehousing Is Improved By Integrating Big Data Capabilities

    Sponsored by: IBM

    Both big data and data warehousing systems experience increased performance when they work together. In this expert e-guide, uncover the importance of data warehouses' storage and organization abilities, and learn how they can be combined with the increased analytics power of big data systems to provide improved insights.

  • Visualizing the Future of Big Data and Predictive Analytics

    Sponsored by: SearchDataManagement

    Explore how predictive analytics and data visualization can help you make sense of your analytics, how a security expert/cryptographer is using big data analytics and the cloud to make open source code safe for app developers and off-limits to hackers, and more.

  • Improving Manufacturing with Advanced Data Analytics

    Sponsored by: Intel Corporation

    Increasing complexity in products, manufacturing processes, and the Internet of Things (IoT) means that massive amounts of data are being generated every day. Find out how to address 3 of the biggest challenges of data management with integrated analytics so you can reduce costs, improve process cycle time, and speed up time to market.

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