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Data Warehouse Architectures White Papers

  • Turning Value from Big Data Made Easy with Apache Hadoop

    Sponsored by: Attunity & Hortonworks

    This white paper discusses Apache Hadoop and its capabilities of helping turn value from big data. This paper also introduces a high-speed data loading and change data capture system that aims to accelerate the adoption of Hadoop by reducing the complexity of moving big data to and from the technology platform.

  • 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.

  • 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.

  • 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.

  • Big Data's Big Impact on Data Warehousing

    Sponsored by: SearchDataManagement

    Access the following expert white paper to hear from Wayne Eckerson as he weighs in on the current state of big data and the respecting technologies that intend to help business leverage value from their big data silos.

  • 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.

  • Optimising the data warehouse

    Sponsored by: ComputerWeekly.com

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

  • Looking Ahead: What to expect for Data Regulation Changes

    Sponsored by: TechTarget

    Upcoming changes will alter the way companies are expected to gather, store and protect personal information in hopes to strengthen consumer and business trust in Europe's digital economy. Download our e-guide The Draft EU General Data Protection Regulation to find out more, after taking our Data Protection survey.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

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