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Data Warehouse Architectures Research

  • 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.

  • 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.

  • 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.

  • When to Use Oracle Database In-Memory

    Sponsored by: Oracle Corporation

    This white paper provides an introduction to Oracle Database In-Memory, and provides an in-depth look at how columnar in-memory technology can improve business capabilities through increased database performance and analytics reporting.

  • 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.

  • 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

    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.

  • 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.

  • Optimizing ETL: The Key to Accelerating Data‐Driven Business Decisions

    Sponsored by: Syncsort

    Whether you’re analyzing information from a data warehouse, reviewing click-stream data to find the latest trends, or running a query on current sales figures, the elapsed time to perform these processes means lost revenue. This article explains the steps you can take when processing your data to reduce elapsed time.

  • Rapid-deployment solution—retail business with SAP HANA

    Sponsored by: Hewlett-Packard Enterprise

    Access the following white paper to uncover how to enable a faster SAP HANA deployment time and an overall faster time to ROI. Learn about the prerequisites for a smooth adoption, where to turn for additional services, and more.

  • Research report: SAP's Business Suite on Hana Will Significantly Impact SAP Users

    Sponsored by: Hewlett-Packard Enterprise

    The following report from Gartner Research Inc. explores in detail the implications that face the business and its leaders in regards to the shift. Find out the various impacts of SAP HANA as well as top recommendations to make this transition as smooth as possible.

  • 5 Steps to Offload Your Data Warehouse With Hadoop

    Sponsored by: Syncsort

    This guide offers expert advice to help you get started with offloading your EDW to Hadoop. Follow these 5 steps to overcome some of the biggest challenges & learn best practices for freeing up your EDW to do the work it was meant to do: provide the insights you need through high-performance analytics and fast user queries.

  • Harnessing the Value of Big Data Analytics

    Sponsored by: Teradata

    Access the following white paper to uncover the tools and strategies you need to know to be able to pull actionable insight from big data. Discover how to choose the right solutions for big data analytics, the challenges of converting big data to insight, and more.

  • Big Data and Big Insights with Dell, SAP and Hadoop

    Sponsored by: SAP America, Inc.

    Tune in to this live webcast on January 28, 2014 at 12:00 PM EST to learn about the needs of big data and how the SAP HANA platform gives you the power to store, process, and analyze growing data volumes with ease.

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