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Data Warehouse ArchitecturesResearch

  • Reinsurance Group Optimizes Performance and Scalability for SAP HANA

    Sponsored by: Hitachi Data Systems

    View this whitepaper now to see what solution ACR put into place to take advantage of this new integrated analytics environmnet, and the challenges the company overcame in regards to exponential data growth.

  • Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox

    Sponsored by: SAS

    Learn about the data integration tools and technologies that are capable of supporting your data warehouse, and, as a result, your high volumes of data.

  • 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.

  • Why customers are migrating from Teradata to IBM PureData System for Analytics

    Sponsored by: IBM

    Explore this brief resource that highlights and deciphers both the Teradata and IBM system for data analytics, providing benefits and flaws of each system. Discover how one system consolidates all analytic activity right where the data resides in the appliance, boosting performance.

  • Three must-have capabilities for today's data warehouse environment

    Sponsored by: IBM

    In this e-book, learn how a new, innovative data warehousing technology delivers on the three essential components of modern warehouse environments: speed, simplicity, and affordability.

  • Data Warehousing: modern ecosystems designed for big data and analytics

    Sponsored by: IBM

    Businesses today need fast access to actionable insights, but rigid data warehouse architectures can prevent you from accessing the data you need quickly and effectively. This white paper describes the essential building blocks of a modern data warehouse that enables you to access information assets faster, regardless of location.

  • How Big Data Technologies Can Augment and Complement Your Data Warehouse

    Sponsored by: IBM

    As more organizations being taking advantage of the wealth of big data technologies available, savvy businesses are realizing the potential to optimize their existing data warehouses (DWs). In this e-book, learn how big data technologies can augment and complement your existing data warehouses, and discover specific DW augmentation use cases.

  • 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.

  • How the US Air Force Improved Financial Data Warehouse Performance

    Sponsored by: Dell, Inc. and Fusion-io

    This paper highlights a case study of an innovative systems integrator that improved the US Air Force's financial data warehouse performance, while shrinking the footprint 16 to 1.

  • Enterprise Data Management in an 'In-Memory' World

    Sponsored by: SAS

    The following white paper explores the tactics, best practices, and architecture needed to make sure that your in-memory solution is running as smooth and efficiently as possible.

  • A Non-Geek's Big Data Playbook

    Sponsored by: SAS

    The following white paper intends to bridge the gap between the big data specialist and the business professional that is trying to understand big data—specifically in the form of Hadoop. Gain access to 6 best practice "plays" that will help up your game with big data and more.

  • Optimising the data warehouse

    Sponsored by: ComputerWeekly.com

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

  • 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.

  • Computer Weekly Buyer's Guide to Big Data infrastructure

    Sponsored by: TechTarget

    Organisations are beginning to realise the potential of real-time big data analysis but there is also a growing realisation that the full benefit will remain unexploited without the infrastructure to expedite it. In this Computer Weekly buyers guide, look at the mindset and technology businesses need to analyse various forms of data and much more!

  • Rapid-deployment solution—retail business with SAP HANA

    Sponsored by: Hewlett-Packard Limited

    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 Limited

    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.

  • How to get started with SAP HANA

    Sponsored by: Hewlett-Packard Limited

    View the following brief video to get an idea of what the shift from SAP BW to SAP HANA consists of. Learn how to begin a successful implementation, and why your roadmap needs to begin with an emphasis on high-value analytics cases.

  • What sets SAP HANA apart from other platforms

    Sponsored by: Hewlett-Packard Limited

    When it comes down to it, businesses can work with their services provider to identify key components for the business case for SAP HANA and drive tremendous business value—view the following videocast to find out how.

  • What SAP HANA can really do

    Sponsored by: Hewlett-Packard Limited

    View the following brief videocast to gain a firsthand look at how SAP HANA when paired strategically with other technologies—listed in this video—can empower ERP solutions, actionable intelligence, and time to ROI.

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

  • 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.

  • 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.

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