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Data Warehouse Architectures Research

  • 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.

  • Preparing Your Data Architecture for Big Data Analytics

    Sponsored by: Hewlett-Packard Enterprise

    In this e-guide, analytics expert Lyndsay Wise reveals the 4 crucial factors to keep in mind before embarking on a big data project. Ahead, we explore why traditional data warehouse architectures aren't a good fit for the challenges of big data.

  • Getting More Out of Hadoop Data Lakes and Big Data

    Sponsored by: IBM

    This in-depth guide provides expert insights into the challenges posed by big data today and how technology is advancing to help overcome them. Learn what to consider before adopting a data lake, how Hadoop is coming closer to bridging the enterprise data warehouse gap, and more.

  • 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.

  • Data Warehouse and Data Management Solutions for Analytics

    Sponsored by: Microsoft

    In this white paper, discover which vendors are leading the pack in the data warehousing and data management for analytics market. Explore the strengths, weaknesses of 21 vendors, including Oracle, IBM, SAP, 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.

  • Unifying Data Access across the Logical Data Warehouse

    Sponsored by: IBM

    A single, enterprise data warehouse can't keep up with the increasing complexity of data and growing demands for analytics. Discover how you can unify data access across a logical data warehouse and give users the ability to easily, quickly combine data even if it's spread across various sources.

  • 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.

  • Ensuring a Sustainable Architecture for Big Data Analytics

    Sponsored by: Idera

    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.

  • Big Data Meets the Cloud

    Sponsored by: Attunity

    With the rise of big data, traditional data management strategies just can't keep pace with the demands of today's business users. Discover the benefits and challenges that companies have experienced by moving their data to the cloud.

  • Hadoop Meets the Logical Data Warehouse Webinar

    Sponsored by: Attunity

    In this webinar, IT leaders discuss how businesses can get the right data, at the right place and time, so that they can extract value from the data as possible. Specifically, learn the process for setting up a logical data warehouse, and how Hadoop factors into the equation.

  • Best Practices for the Data Lake

    Sponsored by: Attunity

    In this webcast, IT leaders discuss adopting data lakes and the maturity of this technology. Learn about trends pulled from a survey of 385 IT practitioners and stakeholders from various industries, all of whom are focused on key areas of concern and interest in data lake adoption.

  • 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.

  • Designing a Data Virtualization Environment: A Step-By-Step Approach

    Sponsored by: Red Hat

    This technical white paper describes a step-by-step approach for setting up a data virtualization environment. Access now for do's, don'ts, and guidelines to help your organization develop effective and efficient data virtualization.

  • Designing a Logical Data Warehouse

    Sponsored by: Red Hat

    This white paper describes the design of a logical data warehouse architecture with data virtualization tools. Learn about a more agile design that allows BI specialists to develop new reports and change existing ones more quickly.

  • Analytics in a Dash: Strategies to Speed Data Warehousing and Analysis in the Cloud

    Sponsored by: IBM

    Turning to advanced analytics tools accelerates the transition from data to decision. Explore how new cloud-based data warehousing and analytics solutions can level the playing field for traditionally-structured businesses.

  • 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.

  • SQL Server 2014 and the Data Platform

    Sponsored by: Microsoft

    This data sheet presents three reasons SQL Server is beneficial to the enterprise, offering details about each one. Discover why building, deploying, and managing solutions that span on-premises and cloud environments just got easier.

  • The Integral Parts of a Logical Data Warehouse

    Sponsored by: IBM

    In this detailed white paper, explore the paradigm of the logical data warehouse in the era of big data and how the components work together. Additionally, learn which workloads will perform best on which components, and compare costs.

  • Date Lake: Adoption and Maturity Survey Findings Report

    Sponsored by: Attunity

    Back by insights from 385 IT practitioners, this report, produced by Radiant Advisors and Unisphere Research, reveals the findings of data lake adoption and use cases.

  • 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.

  • Building a Smart Data Lake

    Sponsored by: Cambridge Semantics

    In this short video you will learn how top companies are creating "smart data" that can be used anywhere in the organization. Read on to discover how the smart data lake can help you solve your most pressing business challenges.

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