ComputerWeekly.com Research Library

Powered by Bitpipe.com

Data Warehouses White Papers

  • The Value of Enterprise-Grade Data Management with Zaloni Bedrock

    Sponsored by: Zaloni

    Organizations are rapidly adopting Hadoop as the foundational technology for housing their data. But what's missing in platforms? In this analyst report from The Enterprise Strategy Group, uncover an overview of data management offerings from Zaloni.

  • Build the Case for a Managed Data Lake

    Sponsored by: Zaloni

    When enterprises have multiple sources of data, and many analytics tools, it's easy to lose track of the data. With a "managed" data lake, you'll know and trust your data. In this 63-page collection, uncover case studies of companies across industries that have deployed "managed" data lakes and other big data tools to achieve their business goals.

  • Architecting A Platform For Big Data Analytics

    Sponsored by: IBM

    Companies are trying to offer improved personalization to retain customers, and analyzing customer data using predictive analytics is the key. But insights produced by analyzing transactional activity are no longer enough. Learn about new data and technical requirements companies need to identify, process, and analyze data successfully.

  • Analytics in Action: Tackling the Big Data Headache

    Sponsored by: SAS

    Find out how to take the big data challenge and turn it into a golden opportunity for your company with new approaches to data management and analytics. Learn about 5 steps to maximize the value of Hadoop and your data warehouse, 3 use cases for predictive analytics, and more.

  • Better Together? Hadoop and Your Enterprise Data Warehouse

    Sponsored by: SAS

    Explore ways to overcome the challenges of moving your entire data warehouse to Hadoop. Plus, hear from big data expert Tom Davenport on augmenting small data projects with Hadoop big data initiatives.

  • 3 Ways to Modernize Your Data Strategy in Minutes

    Sponsored by: Google Cloud

    Today's organizations are rushing to create actionable insights out of their big data, and this starts with modernizing data warehouses. This white paper provides 3 tips to making your warehouse stronger, smarter, and more profitable.

  • Boost Business Returns with Faster, Smarter Data Lakes

    Sponsored by: Teradata

    To realize the value in organizational data, it is imperative that organizations align forces; choosing the right data lake approach to support business strategy and growth. Learn about Kylo, an open-source data lake management software platform, and how it incorporates data quality, governance, monitoring and more.

  • How Hybrid Cloud Options Complement the On-Premises Data Warehouse

    Sponsored by: Teradata

    In this double case study, learn how Core Digital Media, an online marketing company, and an anonymous global mining company, adopted Teradata cloud to complement their on-premise data warehouses. Discover the benefits both realized, including lower costs and greater flexibility.

  • The Current State of The Cloud Analytics and Data Warehouse Market

    Sponsored by: Teradata

    As adoption of cloud software increases, organizations are evaluating the pros and cons of deploying software on the cloud – including data warehousing tools. In this IDC technology spotlight, uncover the current state of the cloud analytics market. Plus, learn about Teradata, a provider of big data analytics and marketing applications technology.

  • AWS and Data Warehousing: Extending Your Data Analytics With The Right Tools

    Sponsored by: Looker

    Amazon Web Services (AWS) sets a standard for delivering customers a wide range of innovative cloud services. Learn about Amazon Webshift, which extends the power of AWS by providing a high-performance data warehousing tool and data management for today's new analytics workloads.

  • How To Accelerate Time-to-Value with a Modern Data Stack: 3-Product Overview

    Sponsored by: Looker

    The explosion of data has created a need to rapidly derive business insights and value from data. But the complexity of setting up and managing a data stack pose challenges when time is of the essence. In this product data sheet, learn about Looker, Panoply and Stitch – products that can help you manage your data analytics for faster insights.

  • How Dollar Shave Club Cuts The Competition With a Data Advantage

    Sponsored by: Looker

    How does a small e-commerce business with a good idea - and a great sense of humor - solve their data bottleneck and go up against leading retail giants to win? Ask Dollar Shave Club. In this case study, learn how this e-commerce upstart trimmed its data bottleneck considerably.

  • Big Data Integration: 3 Vendors Changing the Game

    Sponsored by: Looker

    How are you going to get more value from your data lake? 3 vendors — Looker Data Sciences, SnapLogic, and Snowflake Computing — offer new ways of making processes faster and more valuable. Inside this Forrester Research Inc. report, learn how they're pushing the boundaries of big data integration with new ideas about how to get value faster.

  • The Ins and Outs of Harnessing Hadoop

    Sponsored by: TechTarget

    Hadoop clusters make it easier for organizations to process and analyze streams of big data. But there are limits to what the open source technology can do, plus implementation and management challenges. Gain expert advice on using big data to generate business value and competitive advantages in our exclusive resource.

  • The Enterprise-Wide Benefits of Real-Time Data

    Sponsored by: Tealium

    Organizations that support real-time customer data enable marketers and data analysts to work with the same source, closing enterprise-wide gaps in insights. Read on to learn more about real-time data enrichment tools.

  • Big Data Poses Weighty Challenges for Data Integration Best Practices

    Sponsored by: SearchDataManagement

    Organizations that deploy big data platforms are finding that they also need an upgraded data integration framework to meet rising demands. In this expert handbook, uncover advice on how to navigate the demands of big data architectures, high volume data warehousing, and data lakes by updating your data integration strategy.

  • Why Your Data Warehouse Needs a Data Lake and How to Make Them Work Together

    Sponsored by: Zaloni

    Complementing your DW with a data lake can be a smart first step. But before tackling a DW augmentation project, it's a good idea to review your current resources and understand what you'll need. Explore 2 reasons why companies augment their DW, tips for seamlessly integrating a data lake into a DW, and more.

  • Approaches to SAP HANA Adoption: ERP, Business Intelligence, and More

    Sponsored by: Red Hat

    In this expert e-guide, we explore how organizations across a variety of industries are leveraging SAP's in-memory platform to enhance reporting, analytics, self-service BI, ERP transformation, mobility, and more. Discover which approach to SAP HANA – on premise, in the cloud, or via mobile apps – is best for you.

  • How Hadoop Can Make Integrating Structured And Unstructured Data Simple and Easy

    Sponsored by: IBM

    Access this white paper to learn how Hadoop can serve as an integration platform to harmonize data in a way that can be processed in relational databases and data warehouses. Inside, discover how Hadoop acts as a data lake, making mining for important information simple, simplify data access for non-technical users, and more.

  • Benefits and Pitfalls Of Hadoop Adoption

    Sponsored by: IBM

    Learn 6 reasons to consider Hadoop for your data management and analytics program, and discover several reasons why such a large program may not be the right fit for you (e.g. you work mainly in SQL or you need high levels of security).

  • Hadoop Makes Big Data Storage Accessible For Everyone

    Sponsored by: IBM

    Discover how Hadoop flipped the traditional big data storage paradigm by adopting a philosophy of using commodity hardware and storage to build the equivalent of a data warehouse at a much lower cost. Learn how Hadoop's extreme flexibility gives it the ability to natively scale-out and accommodate both structured and unstructured data.

  • How Embedded BI Programs Turn Analytics Into Action Fast

    Sponsored by: SAP

    In this expert e-guide, you'll discover 10 best practices for implementing a fast new BI platform or improving your existing one. Then, learn the story of how Urban Airship Inc. developed an embedded analytics program of their own.

  • Data Warehousing Is Improved By Integrating Big Data Capabilities

    Sponsored by: IBM

    Both big data and data warehousing systems experience increased performance when they work together. In this expert e-guide, uncover the importance of data warehouses' storage and organization abilities, and learn how they can be combined with the increased analytics power of big data systems to provide improved insights.

  • Visualizing the Future of Big Data and Predictive Analytics

    Sponsored by: SearchDataManagement

    Explore how predictive analytics and data visualization can help you make sense of your analytics, how a security expert/cryptographer is using big data analytics and the cloud to make open source code safe for app developers and off-limits to hackers, and more.

  • Improving Manufacturing with Advanced Data Analytics

    Sponsored by: Intel Corporation

    Increasing complexity in products, manufacturing processes, and the Internet of Things (IoT) means that massive amounts of data are being generated every day. Find out how to address 3 of the biggest challenges of data management with integrated analytics so you can reduce costs, improve process cycle time, and speed up time to market.

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 © 1998-2017 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.