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Data Warehouse ArchitecturesResearch

  • 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.

  • 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.

  • Considering Cisco UCS as a Preferred Platform for SAP HANA

    Sponsored by: Cisco and SAP

    In this report from IDC, learn about a unified computing system (UCS) architecture optimized for SAP's in-memory data management and analytics platform -- SAP HANA, enabling more scalable, transparent HANA deployments.

  • 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.

  • Why DBMSs Matter More than Ever in the Big Data Era

    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.

  • Presentation Transcript: In-Memory Computing for Analytic Workloads

    Sponsored by: Dell, Inc. and Intel®

    When it comes to big data workloads, performance is often the top concern for businesses -- users want to be able to access their data quickly and easily. In this on-demand webcast, join William McKnight, President of McKnight Consulting Group, as he offers expert insight on in-memory platforms for big data analytics workloads

  • 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.

  • Business Transformation with SAP Business Suite on SAP HANA

    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.

  • SAP HANA: End to end solution from HP

    Sponsored by: Hewlett-Packard Limited

    View the following brief videocast to uncover a needs-based solution that covers the complete end-to-end support from technology services to enterprise services you need to get SAP HANA up and running faster for a quicker return on ROI.

  • Big Data Challenges and Pitfalls

    Sponsored by: IBM

    This expert e-guide from SearchDataManagement.com walks you through the key challenges and common pitfalls of big data and offers advice to help you conquer these issues.

  • SAP HANA - key strategic focus for HP Enterprise Services

    Sponsored by: Hewlett-Packard Limited

    View the following video to uncover how HP Enterprise Services can give you the focus strategies you need to make the most out of SAP HANA.

  • HP, an end-to-end solution provider for SAP HANA

    Sponsored by: Hewlett-Packard Limited

    View the following video to uncover an end-to-end storage solution that will allow you and your organization to get all of the real-time benefits out of SAP HANA and how you can truly get a leg up on your competition.

  • 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.

  • Case Study: Near-Real-Time Data Warehouse Reporting Fuels Starwood's Success

    Sponsored by: Oracle Corporation

    This case study reveals how the right engineered data warehouse system gave Starwood Hotels & Resorts Worldwide, Inc. the power to quickly and efficiently retrieve critical information, run operating reports, and more.

  • 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.

  • 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.

  • Delivering Trusted Information for Big Data and Data Warehousing

    Sponsored by: IBM

    This resource examines how an integration and governance strategy can help you deliver trusted information for big data and data warehousing. Read on to learn how you can set the stage for more effective, reliable decision-making.

  • 3 Must-Have Capabilities for Today's Warehouse Environments

    Sponsored by: IBM

    You need to be able to store and analyze data as quickly as it's pouring into your business -- and that's pretty fast. Unfortunately, traditional data warehousing technologies aren't often up to the task. View this informative resource to get an in-depth look at three must-have capabilities for effective modern data warehouses.

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