ComputerWeekly.com Research Library

Powered by Bitpipe.com

Data Warehouses White Papers

  • An Integrated Platform Approach Brings IT Goals within Reach

    Sponsored by: Red Hat

    IT is taking advantage of new aggregations of servers, open source operating systems, and in-memory technology to accelerate business transformation. Discover how these tools can help leverage big data and analytics, modernize the data warehouse, and more.

  • A Data Warehouse for Big Data and Beyond

    Sponsored by: IBM

    Considering how much business decisions now rely on data, your data warehouse needs to be optimized and modernized. Learn how to update your warehouse and see what services it will need to provide in the era of big data.

  • Research Report: Data Warehouse Modernization in the Age of Big Data Analytics

    Sponsored by: IBM

    An overwhelming 89% of businesses consider data warehouse modernization an opportunity. This comprehensive TDWI research report highlights insights from a recent survey on data warehouse modernization to help you identify the trends that matter most to your organization. Also explore the top 12 priorities for data warehouse modernization today.

  • Architecting A Platform For Big Data Analytics

    Sponsored by: IBM

    This Intelligent Business Strategies paper explains the new technical and data requirements for identifying, processing, and analyzing data. Discover how to become a disruptor by gaining an understanding of shifting customer behavior.

  • Maximizing Your Data Lake with a Cloud or Hybrid Approach

    Sponsored by: IBM

    Access this Aberdeen Research report to discover how a Hadoop-based data lake maintained in a cloud or hybrid environment can provide benefits such as greater access to data across the organization, enhanced accuracy in the analysis process, and more.

  • The Future of Data Warehousing Infrastructure and Architectures

    Sponsored by: IBM

    This e-guide examines how a shift from traditional data warehousing (DW) appliances to an infrastructure that combines traditional DWs with big data technologies offers new opportunities for businesses to address needs such as costs, flexibility and agility while eliminating key technology silos.

  • Simple is STILL Better: Embrace Speed & Simplicity for a Competitive Edge

    Sponsored by: IBM

    Learn how the next generation of data warehouses can help you manage large and varied data sets.

  • Deploying the Next Generation Cloud BI

    Sponsored by: Tableau Software

    Discover a software server that, when combined with Microsoft Azure, provides an easy-to-use, flexible, and cost-effective analytics solution. Learn how you can optimally deploy these tools and boost your analytics capabilities.

  • Augment and Extend the Life of Your Data Warehouse

    Sponsored by: IBM

    Learn how organizations currently using a high powered data warehouse appliance can augment and extend the life of their data warehouses with industry-leading cloud data services. Discover tips for "future-proofing" your data warehouse and more.

  • Understanding Insurance Industry Data Warehousing Challenges

    Sponsored by: IBM

    Learn how enhancements in the areas of life insurance and workers' compensation help companies address economic and technological challenges. Plus, discover how to build an effective data warehouse that provides a flexible, scalable solution which enables the consolidation and integration of data.

  • Big Data in the Cloud: Moving at the Pace Your Business Demands

    Sponsored by: IBM

    Learn how you can safely and reliably move large files and datasets to, from, and across the cloud at maximum speed. This paper also highlights 5 key technological capabilities that can help you move big data at the speed your business demands.

  • Popular Technologies Enrich Customer Experience Strategies

    Sponsored by: SearchCRM

    To improve customer experience, companies need to tune into the different platforms consumers use, unify data silos, integrate information systems and plan thoughtful strategies for engaging customers.

  • Cloud-based data warehousing as-a-service, built for analytics

    Sponsored by: IBM

    Discover how a cloud-based data warehouse service offers integrated analytics to rapidly deliver answers. IBM's dashDB offers unique in-database analytics, R predictive modeling, and business intelligence tools could free you to analyze your data and get precise insights, quicker.

  • Top 8 Trends For Big Data

    Sponsored by: Tableau Software

    Big data is experiencing a boom in importance and usage. More businesses are coming to rely on data for critical decisions. Why not make your data work for you? You already own it, so make the most of it. Read on to discover the top eight trends currently underway in big data and how to make them work for you.

  • Cloud-based data warehousing as-a-service, built for analytics

    Sponsored by: IBM

    Traditional data warehousing has long been a painstaking endeavor, but today you have other options. Read on to learn about a fully managed, cloud data warehouse solution and the benefits it could help you realize.

  • IoE Revealed: Banks Increase Bottom Line From 5.3% to 15.2% When They Become as Digitized as Customers

    Sponsored by: Cisco

    What can you do to regain consumer trust in our highly interconnected world? Find out how banks are doing it by leveraging the Internet of Everything (IoE.)

  • Preparing Your Data Architecture for Big Data Analytics

    Sponsored by: Hewlett-Packard Enterprise

    In this e-guide, analytics expert Lyndsay Wise reveals the 4 crucial factors to keep in mind before embarking on a big data project. Ahead, we explore why traditional data warehouse architectures aren't a good fit for the challenges of big data.

  • Getting More Out of Hadoop Data Lakes and Big Data

    Sponsored by: IBM

    This in-depth guide provides expert insights into the challenges posed by big data today and how technology is advancing to help overcome them. Learn what to consider before adopting a data lake, how Hadoop is coming closer to bridging the enterprise data warehouse gap, and more.

  • Moving Data at the Speed of Business

    Sponsored by: Oracle Corporation UK Ltd

    Explore survey results that show how organizations are using new strategies and approaches to improve the speed of data delivery and integration. Gain ideas on how deal with poor performance, siloed data, and slow response times.

  • Data Warehousing in the Cloud

    Sponsored by: IBM

    Using a cloud-based data warehouse provides value. Uncover ways this approach to data warehousing can reduce startup costs, potentially eliminate ongoing maintenance costs, accelerate analysis, and more.

  • Spark for Big Data Initiatives: Biggest Opportunities & Challenges

    Sponsored by: SearchBusinessAnalytics

    This expert e-guide discusses how Spark users are overcoming the processing engine's maturity issues to extract optimal value out of big data. Explore the biggest benefits and limitations of Spark and discover where it stands in the market relative to its competitors.

  • Making an Operational Data Store (ODS) the Center of Your Data Strategy

    Sponsored by: Attunity

    This white paper provides an overview of why organizations today need operational data stores, how to sell an ODS to 5 different stakeholder groups, and best practices for implementing an ODS.

  • Stay Grounded With Cloud Data Management

    Sponsored by: SearchDataManagement

    What separates cloud data management from on-premises tools isn't just a lot of hot air. Access this expert handbook to find consultant David Loshin's advice on how to track where information is being dispersed, a case study on one company's experience with cloud data management, and an explanation on the effect of the cloud on BI processes.

  • Preparing Your Data Architecture for Big Data Analytics

    Sponsored by: Hewlett-Packard Enterprise

    While big data can provide actionable insights to drive business value, your enterprise can't experience those benefits without the right data architecture in place first. In this e-guide, analytics expert Lyndsay Wise reveals the 4 crucial factors to keep in mind before embarking on a big data project.

  • BI in the Sky: Making Cloud Analytics Work

    Sponsored by: SearchBusinessAnalytics

    How can you decide if you should invest in cloud BI tools? This expert guide reveals crucial information on cloud BI and analytics for IT decision-makers. Discover the biggest trends, benefits, and challenges of cloud BI tools.

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 © 1998-2016 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.