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Data Warehouse Architectures Research

  • Analyst Review: Data Warehouse and Data Management Solutions for Analytics

    Sponsored by: Cloudera

    The following report is designed to help data, analytics, and IT leaders find the right data warehouse or data management vendor for their needs. Learn about vendor strengths and cautions for 21 different software systems.

  • How Sprint Reduced Their Database Storage Footprint and Cut Down Query Time

    Sponsored by: Oracle Corporation UK Ltd

    Watch this video case study to see how Sprint reduced their database storage footprint by two thirds and drastically cut down the time it takes to run queries which allowed them to speed-up customer support.

  • 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, in the future, they will be combined with the increased analytics power of big data systems to provide improved insights.

  • Accelerate and Simplify Oracle with Rack-Scale Flash Storage

    Sponsored by: Dell EMC

    This resource explores how you can speed up workloads and deliver agility in Oracle environments. Discover how to accelerate analytics for larger data sets, enable self-service, and more.

  • An Integrated Platform Approach Brings IT Goals within Reach

    Sponsored by: Red Hat

    IT is taking advantage of new aggregations of servers, open source operating systems, and in-memory technology to accelerate business transformation. Discover how these tools can help leverage big data and analytics, modernize the data warehouse, and more.

  • A Data Warehouse for Big Data and Beyond

    Sponsored by: IBM

    Considering how much business decisions now rely on data, your data warehouse needs to be optimized and modernized. Learn how to update your warehouse and see what services it will need to provide in the era of big data.

  • Ensuring a Sustainable Architecture for Big Data Analytics

    Sponsored by: Embarcadero Technologies, Inc.

    Access this white paper to learn about an extended data warehouse architecture that can keep up with the pace of data growth, how to integrate 3 analytics environments, and how to reap the most value from big data.

  • Orlin & Cohen Orthopedic Group Benefits from a 24x7 Managed Electronic Medical Records Database Architecture

    Sponsored by: Cintra/Oracle

    In this white paper, learn how Orlin & Cohen overcame the challenges its legacy Windows-based Oracle standard Edition architecture and upgraded to an enterprise-class platform. Learn how they accomplished this without the typical cost and complexity associated with enterprise architecture but still gained high performance and reduced risk.

  • Data Warehouse Appliances: Impact and Best-in-Class Capabilities

    Sponsored by: IBM

    In this Aberdeen Group research report, learn how data warehouse appliances enable organizations to perform varied and complex analytics to support data-driven decision-making. Additionally, explore the impact organizations are experiencing with data warehouse appliances and near real-time analytics.

  • 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.

  • Database Explorations: Learn About Redis NoSQL Server Clusters

    Sponsored by: IBM

    This geek guide by web development expert Reuven Lerner highlights the factors that make Redis NoSQL server clusters worth considering. Explore the technical underpinnings that make Redis currently the most popular NoSQL technology.

  • 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.

  • 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.

  • Augment and Extend the Life of Your Data Warehouse

    Sponsored by: IBM

    Learn how organizations currently using a high powered data warehouse appliance can augment and extend the life of their data warehouses with industry-leading cloud data services. Discover tips for "future-proofing" your data warehouse and more.

  • Cloud-based data warehousing as-a-service, built for analytics

    Sponsored by: IBM

    Discover how a cloud-based data warehouse service offers integrated analytics to rapidly deliver answers. IBM's dashDB offers unique in-database analytics, R predictive modeling, and business intelligence tools could free you to analyze your data and get precise insights, quicker.

  • 30-Day dashDB: Test Drive Data Warehousing and Analytics Functionalities

    Sponsored by: IBM

    A well-designed data warehouse system can help boost the corporate bottom line, but if you aren't careful, data warehouse performance can bog down in different places. Start a free 30-day trial to dashDB, a fully-managed cloud data warehouse built specifically for analytics. Take their data warehousing and analytics capabilities for a test drive.

  • Cloud-based data warehousing as-a-service, built for analytics

    Sponsored by: IBM

    Traditional data warehousing has long been a painstaking endeavor, but today you have other options. Read on to learn about a fully managed, cloud data warehouse solution and the benefits it could help you realize.

  • Preparing Your Data Architecture for Big Data Analytics

    Sponsored by: Hewlett-Packard Enterprise

    While big data can provide actionable insights to drive business value, your enterprise can't experience those benefits without the right data architecture in place first. In this e-guide, analytics expert Lyndsay Wise reveals the 4 crucial factors to keep in mind before embarking on a big data project.

  • TDWI Checklist Report: Data Warehousing in the Cloud

    Sponsored by: IBM

    Using a cloud-based data warehouse provides value. Uncover ways this approach to data warehousing can reduce startup costs, potentially eliminate ongoing maintenance costs, accelerate analysis, and more.

  • Enabling an Agile Data Warehouse with Automation

    Sponsored by: Attunity

    Watch this webinar to learn how to overcome the limitations of traditional data warehouses with modern technology, which can enable you to automate and accelerate routine IT tasks associated with designing, creating, populating, and managing data warehouses and data marts.

  • Making an Operational Data Store (ODS) the Center of Your Data Strategy

    Sponsored by: Attunity

    This white paper provides an overview of why organizations today need operational data stores, how to sell an ODS to 5 different stakeholder groups, and best practices for implementing an ODS.

  • Big Data Era: Embrace Speed & Simplicity in your Data Warehouse for a Competitive Edge

    Sponsored by: IBM

    This white paper provides insight into what modern data warehouses need to accomplish to be relevant. Learn how adapting old technologies to manage new challenges is inadequate, and how you can manage big data simply and at low cost, while simultaneously processing advanced analytics at the speed of business.

  • How to Unlock Big Data's True Potential

    Sponsored by: IBM

    When it comes to big data, it can be difficult to combine data from disparate sources into a meaningful and valuable picture. Discover a business intelligence platform that can allow you to integrate data from heterogeneous sources, augment the data warehouse with Hadoop data services, leverage real-time analytics, and more.

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