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Data Warehouse Architectures Research

  • 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.

  • Database Consolidation MIMIX Share Use Case

    Sponsored by: Vision Solutions

    Discover how to simplify database consolidation with MIMIX Share, an automated tool that replicates and transforms data between databases to break it out of organizational silos. Learn how to combine data seamlessly from different databases, centralize data for analytics, and more.

  • Raiffeisenbank Speeds Data Warehouse, Cuts Costs With Red Hat Enterprise Linux

    Sponsored by: Red Hat

    In this study, you'll gain info on how Raiffeisenbank tripled system performance speed and maintained stability—while cutting total cost of ownership by 50%—by replacing the aging hardware and OS supporting its data warehouse with Red Hat Enterprise Linux. Read on to also learn from Raiffeisenbank how to avoid vendor lock-in.

  • Vitria VIA IoT Analytics Platform Overview

    Sponsored by: Vitria Technology, Inc.

    This brief webcast examines Vitria and their real-time IoT analytics platform. Learn how to generate faster insights to drive smarter decision-making and bolster IoT business strategies, predictive analytics, data visualizations, and more.

  • Understanding the 4 Zones of Data Lake Architecture

    Sponsored by: Zaloni

    In this presentation, Zaloni CEO and co-founder Ben Sharma discusses the 4 zones of data architecture, the challenges and tools to building data lakes, and how you can leverage your data lake to serve your needs.

  • 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.

  • 3 Ways to Modernize Your Data Strategy in Minutes

    Sponsored by: Google Cloud

    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.

  • 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.

  • 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.

  • 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.

  • 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.

  • A Governed Data Lake: The 360° Approach

    Sponsored by: Zaloni

    With so much data available, managed data lakes are becoming crucial to the modern data architecture. Learn how they can give your enterprise the agility and scalability needed for timely discovery and valuable business insights from big data.

  • An Analytics Use Case for Unified Data

    Sponsored by: Zaloni

    In a time when the variety and volume of data is continuously growing, data lakes are an emerging and powerful architectural approach, providing much needed flexibility. Learn more about the differences between data lakes and EDWs, keys to data lake management, and common use cases.

  • Data Management Architectures for Advanced Business Use Cases

    Sponsored by: Zaloni

    Data lakes allow for all data to be stored regardless of source or format, including new types of social media and IoT data. Access this e-book for a comprehensive guide to data lakes and determine whether a data lake or EDW is right for your business.

  • Architecting A Platform For Big Data Analytics

    Sponsored by: IBM

    This Intelligent Business Strategies paper explains the new technical and data requirements for identifying, processing, and analyzing data. Discover how to become a disruptor by gaining an understanding of shifting customer behavior.

  • 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.

  • 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.

  • Integrated Analytics: Manage the Growing Diversity of Sales and Marketing Data Sources

    Sponsored by: Intel Corporation

    This white paper explores how to enable an integrated analytics approach by leveraging data lake models, visualizations, and self-service BI. Find out to simplify big data, overcome traditional data warehouse limitations, and increase efficiency with automation.

  • An Integrated Approach: Analytics, Data Warehouses, Big Data and More

    Sponsored by: IBM

    Find out how you can leverage an integrated appliance to make data computing simpler. You'll discover how to bring analytics right into the database, add agility, and eliminate siloes. Additionally, you'll learn how to optimize the performance of data warehouse services for analytic apps, including those that require big data capabilities.

  • Hadoop Deployments: Maximizing Efficiency for Big Data Analytics

    Sponsored by: IBM

    Many businesses recognize Hadoop as a premier cloud app framework, but they still don't know how to deploy Hadoop properly or prepare for its pitfalls. In this e-guide, we identify and explore some of the biggest Hadoop challenges. Find out how to resolve these issues and unlock the benefits of big data analytics.

  • Maximizing Your Data Lake with a Cloud or Hybrid Approach

    Sponsored by: IBM

    Access this Aberdeen Research report to discover how a Hadoop-based data lake maintained in a cloud or hybrid environment can provide benefits such as greater access to data across the organization, enhanced accuracy in the analysis process, and more.

  • The Future of Data Warehousing Infrastructure and Architectures

    Sponsored by: IBM

    This e-guide examines how a shift from traditional data warehousing (DW) appliances to an infrastructure that combines traditional DWs with big data technologies offers new opportunities for businesses to address needs such as costs, flexibility and agility while eliminating key technology silos.

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