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Data Warehouse Architectures Research

  • Is the Data Warehouse Dead?

    Sponsored by: IBM

    This survey investigates the current state of the data warehouse. Read on to examine its competition: Big Data solutions as an alternative.

  • IBM rings in new year with enterprise version of dashDB data warehouse

    Sponsored by: IBM

    Read this 451 research to learn more about the latest enterprise version of dashDB data warehouse, its technology, and its competition.

  • Simply Hired's Analytics Strategy Drives Customer Value and Exponential Growth

    Sponsored by: Looker

    View this case study to learn how Simply Hired modernized its data architecture and was able to provide dynamic, personalized data views to a wide range of employees.

  • The Intelligent Data Warehouse

    Sponsored by: Informatica

    Discover how your organization can change the way you store and access data to yield better business intelligence insights. Uncover the power of the intelligent data warehouse and learn how effective master data management can revolutionize the way to see business intelligence.

  • The Dark Data Imperative

    Sponsored by: Informatica

    Learn how your organization can capitalize on your dark data to uncover valuable insights into your business processes in this informative white paper. Read on to get an in-depth explanation of dark data, and discover the top 4 reasons companies overlook it.

  • DashDB: Keeping Data Warehouse Infastructure Out of Your Way

    Sponsored by: IBM

    Access this resource to uncover a fact sheet that will help your organization build more with no infrastructure investment and rapid cloud provisioning, grow more with in-memory technology without the hassle of data warehousing architecture, and know more with greater efficiency and performance.

  • Analytics for SAP - BCC Case Study

    Sponsored by: Teradata

    In this brief case study learn more about BCC's specific issues accessing their SAP information, and discover what system they implemented in place of SAP BW.

  • A Better Way to Build a Data Warehouse with Data Extracted from SAP Solutions

    Sponsored by: Teradata

    In this exclusive summary learn more about your options for harvesting and analyzing your SAP ERP data. Discover how your data can yield actionable insights quickly and easily with innovative data warehousing techniques. Read on to finally answer the question: why use an enterprise data warehouse today?

  • A Better Way to Build a Data Warehouse for SAP Data

    Sponsored by: Teradata

    Access this in-depth webinar to hear from Teradata expert Neil Raden as he exposes a better way to build a data warehouse for your SAP data. Listen as he explores existing solutions and challenges for those hoping to leverage their SAP data for business intelligence and analytic purposes.

  • 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.

  • New Options, Issues for Data Warehouses Classroom

    Sponsored by: SearchDataManagement

    The enterprise data warehouse isn't dead, but it's no longer the be-all and end-all for storing BI and analytics data. This virtual classroom will bring IT and business professionals up to date on new issues to take into account in designing and managing EDWs.

  • IBM vs. SAP vs. the rest: Find out what IT pros think

    Sponsored by: IT Central Station

    With the number of enterprise level data warehouse appliances available today, how can you be sure that your next purchase will be the right one for your organization's needs? In IT Central Station's premium guide, you'll discover what real IT professionals think about the market's top solutions based on their experiences.

  • 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 focusses on queryable data stores as a way to reduce costs and gain business insights.

  • Optimising the data warehouse

    Sponsored by: ComputerWeekly.com

    Analysts Clive Longbottom and Rob Bamforth discuss approaches to optimising datawarhouses for big 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

    With HTML5, developers have at their hands the tools to revolutionize Web and mobile app 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.

  • 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.

  • Building a Trusted SAP HANA Data Center

    Sponsored by: Cisco and SAP

    In this comprehensive resource, explore a variety of hardware appliances that are SAP-approved as platforms for HANA. Discover how these appliances from Cisco, EMC, and VCE can benefit your SAP HANA implementation, and evaluate how they stack up against the five essential characteristics of a SAP HANA hardware platform.

  • 7 must-have capabilities of big data DBMS

    Sponsored by: IBM

    Companies are rushing to invest in big data analytics tools, but many forget about the underlying infrastructure that supports their big data efforts. In this informative white paper, learn why the right database management system (DBMS) could be the key to a successful big data analytics project.

  • MDM and Data Quality for the Data Warehouse

    Sponsored by: Informatica

    This executive brief explains how the combination of master data management (MDM) and data quality (DQ) can significantly enhance the accuracy and reliability of data, enabling timely, confident decisions and accurate reporting.

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