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Data WarehousesWhite Papers

  • 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 (Edu)

    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.

  • How to Solve the Problems of Too Many Data Marts

    Sponsored by: IBM

    This white paper covers the ease with which you can get trapped in your data marts as they quickly become a drain on your company.

  • Enterprise Information Archiving: It’s Time for a New Strategy

    Sponsored by: OpenText

    Access the following white paper to discover what poor archiving really is. Learn if you're keeping too much or too little, where to turn for cost-effective storage, and more.

  • Orchestrating a big data integration strategy

    Sponsored by: TechTarget

    Integrating pools of data into your existing data warehouse can seem like a daunting task at first. This eBook chapter offers tips on how to integrate data in Hadoop systems and NoSQL databases into your DW environment and provides insight into the different big data integration technology options. Simply take a brief survey to gain access!

  • The Mainframe as a Key Platform for Big Data and Analytics

    Sponsored by: IBM

    Access the following white IDC research paper to uncover the requirements for a big data implementation and what you can do to successfully address the needs of BDA.

  • The Ultimate Checklist for High Performance ETL

    Sponsored by: Syncsort

    Whether or not you already have a set of ETL and Data Integration tools, this checklist will help you assess high-performance ETL solutions for data integration that stands up to today's challenges.

  • 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.

  • Data Warehouse Optimization Embedding Hadoop in Data Warehouse Environments

    Sponsored by: Talend

    This white paper describes how Hadoop can be used in data warehouse environments to reduce storage and processing costs and to improve the performance of reporting and analysis.

  • Unified Data Architecture

    Sponsored by: Teradata

    Access the following e-book to uncover the tools and strategies you need to get the most out of big data. Learn from leading authors in the field of data management as they explain some of the common mistakes made by analytics professionals while mining for new insights and what you can do to avoid them.

  • 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.

  • Upgrading to SQL Server 2012

    Sponsored by: Dell, Inc. and Intel®

    Whether you're planning to upgrade an existing SQL Server instance to 2012 or implement a new instance, this expert e-guide describes everything you need to know to drive SQL Server success. Read on to learn about prerequisite software, included components, little-known features, and more.

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