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Data Warehouses White Papers

  • Unleash Intelligent Disruption with a Modern Data Warehouse

    Sponsored by: INFORMATICA

    Find out how to accelerate data warehouse modernization with advanced data management for Microsoft Azure. Learn how to provide greater access to data for faster decision-making powered by machine-learning.

  • Hybrid Cloud Data Management for Dummies

    Sponsored by: INFORMATICA

    In this "For Dummies" e-book, explore a variety of techniques, architectures, and toolsets organizations can use to turn the challenge of hybrid cloud data management into a competitive advantage.

  • Power Your AWS Data Lake With AI-Driven Data Management

    Sponsored by: INFORMATICA

    Learn how to establish an intelligent data management strategy that harnesses AI technologies for data lakes built on AWS so that you can take a metadata-driven approach to managing and analyzing big data volumes.

  • Tetra Pak: Achieving Detailed and Dynamic Reporting

    Sponsored by: SAP

    Find out how Tetra Pak enhanced reporting and made it more accessible for business users while reducing reliance on IT with seamless data integration, agile self-service apps, standardized BI user interfaces, and more.

  • Enabling the Agile Enterprise Through Unified Data

    Sponsored by: SAP India

    Learn about the journey toward the analytic-transactional data platform, and explore topics like data integration between databases and data warehouses, disk backup optimization for analytic data, the benefits of unified data for transactions and analytics, and more.

  • 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.

  • 2017 Apache Kafka Report

    Sponsored by: Confluent

    Learn about the driving factors behind Apache Kafka adoption as well as how organizations are applying it to stream processing, data integration, data pipelines, and even microservices architectures.

  • BI and Analytics on a Data Lake

    Sponsored by: MapR

    BI and analytics plus big data equals an explosive business differentiator across all industries and regions. Discover how you can create actionable insights by building big data BI and analytics on data lakes and converged data platforms.

  • A Practical Guide to Modern Data Architectures, Microservices, and Containers

    Sponsored by: MapR

    Explore how you can create a modern data architecture that brings more agility to your apps, data, and infrastructure for digital transformation initiatives. Plus, discover how to break down data siloes, tackle big data analytics challenges, increase agility with containers and microservices, and more.

  • Planning for Digital Transformation with a Converged Data Platform

    Sponsored by: MapR

    Discover how to keep up with the progression of big data use cases by implementing a converged data platform that leverages the power of Hadoop, Spark, and Apache Drill.

  • 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.

  • Achieving a Unified Data Governance Strategy

    Sponsored by: IBM

    Learn about recent updates to data governance and its key drivers, such as compliance, self-service analytics, big data, and data monetization.

  • 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.

  • 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.

  • The Value of Enterprise-Grade Data Management with Zaloni Bedrock

    Sponsored by: Zaloni

    Organizations are rapidly adopting Hadoop as the foundational technology for housing their data. But what's missing in platforms? In this analyst report from The Enterprise Strategy Group, uncover an overview of data management offerings from Zaloni.

  • Build the Case for a Managed Data Lake

    Sponsored by: Zaloni

    When enterprises have multiple sources of data, and many analytics tools, it's easy to lose track of the data. With a "managed" data lake, you'll know and trust your data. In this 63-page collection, uncover case studies of companies across industries that have deployed "managed" data lakes and other big data tools to achieve their business goals.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

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