ComputerWeekly.com Research Library

Powered by Bitpipe.com

Data WarehousesWhite Papers

  • 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.

  • The CIO's Chance of a Lifetime

    Sponsored by: SAS

    The following IDC white paper explores the role that the CIO and IT group play in enabling, supporting, and leading analytics programs and projects within their organizations. Uncover the 4 big myths that can be hurting your analytics effectiveness, how to fix IT and line of business disconnect, and more.

  • Bringing the Power of SAS to Hadoop

    Sponsored by: SAS

    Consult the following white paper to explore the current landscape of Hadoop with several considerations as to why you should consider moving towards Hadoop for your big data needs. Learn how various organizations are using Hadoop, technology considerations, and more.

  • Big Data in Big Companies

    Sponsored by: SAS

    Explore the following white paper to join analytics pioneer, Tom Davenport, as he reveals the findings of how big data fits into the data and analytics infrastructure of 20 large organizations. Find out how these companies are handling big data, the tools and skill sets used to maximize ROI, and what the future holds with analytics 3.0.

  • Content Analytics: Helping the Best-in-Class Drive Superior Customer Service

    Sponsored by: IBM

    The following white paper examines how organizations are using content analytics to help improve the management of unstructured data. Learn how when properly implemented, this solution can increase sales effectiveness, customer satisfaction, and more.

  • 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.

  • Considerations for Maximising Analytic Performance

    Sponsored by: IBM

    If you're looking to invest in a business analytics platform, access this comprehensive white paper from Bloor Research comparing the performance of four top analytics tools (combined with underlying database management systems).

  • 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

  • Taking Advantage of Big Data Analytics

    Sponsored by: Tableau Software

    Consult the following e-guide to explore the 4 steps to take to ignite your big data strategy. Learn about the architecture you need, the baby steps to get you started, who should be on your team, and more.

  • Business Information E-Zine: NoSQL Makes its Mark

    Sponsored by: SearchBusinessAnalytics

    In this issue, we drill down on the facts of NoSQL databases, tapping into the experiences of savvy startups and other companies whose needs led them to NoSQL technologies. But is NoSQL right for you? Companies with fast-growing vaults of Web, social media, demographic and machine data should pay attention. IT experts chime in with timely advice.

  • A Five-Point Plan for Handling the Future of Big Data

    Sponsored by: Actian Corporation

    Consult the following white paper to uncover a 5-point plan that businesses can use to prepare themselves for the data scientist shortage in the future. Learn how you can turn to your own team of analysts to conquer big data and ultimately making the shift to an analytics-driven enterprise.

  • Top-of-Mind Time for In-Memory Databases

    Sponsored by: SearchDataManagement

    With promises of application speed-up and optimized organization of data, in-memory databases have the attention of IT professionals. Now, the technology has to deliver.

  • 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.

  • Data Replication in Oracle Environments: Leading Tools Compared

    Sponsored by: Dell Software

    Data replication isn't as simple as it once was – primarily because the "Oracle shop" of yesterday is long gone. In this Dell white paper, see why the norm is an enterprise database infrastructure with Oracle and one or more additional databases like Hadoop – and how Dell data replication solutions compare with Oracle solutions in this environment.

  • 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!

  • With HANA, SAP Explores New Frontier

    Sponsored by: SearchSAP

    With SAP HANA at the center of its marketing focus, SAP is quickly finding that it is customers -- and not the C-Suite -- that will dictate the success of the in-memory database platform.

  • 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.

  • 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.

  • Healthcare Payer Transforms Data Processing

    Sponsored by: AdvizeX Technologies

    Data is growing at exponential rates, especially in the healthcare industry. And like many businesses, a national leader in revenue cycle management solutions for the healthcare industry, was drowning in data. Its legacy database system was unable to grow along with the company, making real-time data analysis impossible.

  • 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.

Bitpipe Definitions: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Other

What's Popular at Bitpipe? Daily Top 50 Reports | Daily Top 100 Topics | Popular Report Topics

ComputerWeekly.com Research Library Copyright © 1998-2014 Bitpipe, Inc. All Rights Reserved.

Designated trademarks and brands are the property of their respective owners.

Use of this web site constitutes acceptance of the Bitpipe Terms and Conditions and Privacy Policy.