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Data Warehouse Architectures Research

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • A Review of SQL Server 2016

    Sponsored by: Microsoft

    This white paper delivers the information you need to determine if SQL Server 2016 is a sensible upgrade for you. Learn about upgrades to availability, scalability, security, analytics—including support for non-relational queries and a variety of devices—and stretch database technology that makes cloud integration seamless.

  • Four Critical Concepts for Planning the Logical Data Warehouse

    Sponsored by: IBM

    Even modern data warehouses can hold back your business. In this white paper, learn four key facts you need to know before choosing a data warehouse.

  • Data Governance Framework: A Blueprint for Success

    Sponsored by: SAS

    In this white paper, see how a pragmatic, holistic approach to data governance combined with a data governance framework can provide timely, trusted, and high-quality data to everyone in your organization. Also see the features of one data governance framework.

  • Is The Data Warehouse Dead?

    Sponsored by: IBM

    This white paper investigates the current state of data warehouses as big data comes to the forefront as an alternative. Read on to see what a survey of you peers thought regarding the question of the death of data warehouses.

  • 8 Proven Strategies for Data Integration

    Sponsored by: Information Builders

    This white paper highlights 8 proven data integration strategies and uses real-world examples to demonstrate the high-value, high-return data access options that are available to you.

  • An Introduction to Amazon Redshift

    Sponsored by: Global Knowledge

    In this article, explore what Amazon Redshift is as well as what it is not. Find out how it compares with the costs, performance, support for third-party virtualization tools, scale and reliability. Also, examine a comparison of Amazon Redshift versus other solutions.

  • Seven Principles for Achieving High Performance and Scalability for Information Integration

    Sponsored by: IBM

    Read this white paper for information integration success stories. Also, find critical success criteria for an architecture's scalability.

  • 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.

  • 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.

  • Hadoop and the Modern Data Supply Chain

    Sponsored by: Attunity

    In this white paper, learn how organizations are coordinating multiple data sources in a data supply chain, enabling insights to travel nimbly throughout the enterprise. Additionally, learn the pros and cons of using Hadoop to process data, and how you can modernize the way you use data.

  • Cognos: BI: IBM Cognos Data Manager - Data integration for the last mile to BI

    Sponsored by: IBM

    This white paper explores the major challenges associated with integrating data and the key processes and factors associated with developing a conformed, dimensional data warehouse solution.

  • TechTarget Solution Spotlight: Big Data Challenges & Pitfalls

    Sponsored by: IBM

    Access this expert e-guide to get real-world strategies and advice on how best to manage your big data warehousing and processing, and common pitfalls to avoid.

  • HTML5 Rewrites the Rule on Web Development

    Sponsored by: SearchDataManagement

    This special edition of Business Information explores how upgrades enterprises' ability to create robust Web and mobile applications and rewrite the rules of development.

  • How Eliminating SAN from your Oracle Data Warehouse can Increase Performance

    Sponsored by: Dell, Inc. and Fusion-io

    In this paper, a business intelligence provider for the semiconductor industry eliminated SAN from its Oracle data warehouse to increase their average performance 5 to 10 fold.

  • Solution Spotlight: The Future of Data Warehousing Infrastructure and Architectures

    Sponsored by: IBM

    This e-guide examines why the data warehousing appliance business case must trump traditional tools for business to address needs such as costs, flexibility and agility while eliminating key technology silos.

  • Data warehouse augmentation: the queryable data store

    Sponsored by: IBM

    This white paper highlights how organizations can leverage big data to solve business challenges. It focuses on query-able data warehouses as a way to reduce costs and gain business insights. Discover how you can free up your data warehouse from processes slowing it down and disrupting revenue goals.

  • Game Changing Performance with SAP In-Memory

    Sponsored by: Cisco and SAP

    SAP HANA promises to be a game changer in the business intelligence (BI) and analytics space. However, some organizations remain skeptical of the benefits of investing in yet another technology to accelerate analytics. This e-guide puts those doubts to rest with an in-depth look at how to build a business case for in-memory computing and SAP HANA.

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