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Data Warehouses Research

  • FAQ: Hadoop for BI and Analytics

    Sponsored by: TechTarget Business Analytics

    Because it's a relatively new technology, Hadoop is surrounded by many myths and most IT professionals have little to no experience with the big data platform. This expert E-Guide aims to dispel common Hadoop misconceptions and offers advice for how to utilize it to drive big data analytics success.

  • Apache Hadoop* Framework Spotlight: Apache Hive* Podcast

    Sponsored by: Intel

    In this podcast, learn how Apache Hive is impacting the Hadoop community. Discover Hive's components and capabilities, whether Hive is a viable substitute for the existing warehouse infrastructure, the limitations of this tool, and more.

  • Apache Hadoop* Framework Spotlight: Apache Hive*

    Sponsored by: Intel

    This brief resource examines the true value of Apache Hive, a SQL engine for the Apache Hadoop framework. Inside, learn how Hive's facilities for data and metadata management are impacting the existing warehouse infrastructure and driving business success.

  • Key Considerations in Evaluating Data Warehouse Appliances

    Sponsored by: Dell Software

    Data warehousing can be an expensive, complicated bag of hardware, software and support. However, adopting a data warehouse appliance will benefit your business today and in the future. In this new white paper, learn about their evolution, pros and cons and if this technology is the right fit for your business. Read it today.

  • Universitätsklinikum Erlangen strengthens analytics expertise and focuses on a customised healthcare analytics solution

    Sponsored by: IBM

    View this white paper to learn how one company strengthened analytics by developing a focus on customised healthcare. It linked to relevant operational systems, how to optimise information flow and how to support the overall strategic control of the hospital at just the touch of a button.

  • Best Practices for Implementing a High-Performance Data Warehouse

    Sponsored by: SAS

    There are more new forms of data today than ever before, and traditional business intelligence systems cannot always handle the amount of stress from this influx of information.  Check out this white paper to discover a system known as 'high performance data warehousing' that can help you successfully analyze and glean insights from your big data.

  • Ziff Davis: Maximizing Performance and Minimizing Cost with Interactive Business Intelligence

    Sponsored by: IBM

    View this white paper to learn how IT decision makers can drive faster analytics over large data volumes in a data warehouse. It outlines how you can give end users the ability to have a more interactive analysis using online analytical processing (analysis.)

  • New Data Warehousing Strategies for Big Data

    Sponsored by: HP & Intel®

    High-volume unstructured data has its own set of characteristics that often make it too difficult for traditional standalone and relational databases to process.  As a result, a major shift in big data warehousing is taking place, and this expert e-guide will cover how to be successful in tackling the challenges of new warehousing strategies.

  • All Mobile, All the Time: Can Businesses Make the Leap?

    Sponsored by: IBM

    Consult this white paper to learn how to manage the increasing array of data sources. Find out how you can ensure that your valuable data is accurate and accessible. Explore the changes the mobile revolution is causing your enterprise and the values you need to establish to have successful BI by reading this resource now.

  • The Human Face of Big Data: Pulse of the Planet

    Sponsored by: TechTarget ComputerWeekly.com

    Big Data is about to radically transform our understanding of the planet, writes entrepreneur and commentator, Esther Dyson.

  • Best practices in Oracle Data Warehousing

    Sponsored by: ParAccel

    With its noninutrusive method, low-impact, real-time data integration software can liberate your systems from data extract processing batch windows for Oracle data warehousing and allow you to extract data at any time, even when users are online. Read this expert e-guide to learn more about real-time data collection for Oracle data warehouses.

  • Unifying supplier, customer data for manufacturing

    Sponsored by: Stibo

    Read this e-guide to learn how to fine tune data management systems to collect relevant data, consolidate it, and integrate it for analytics systems.

  • Presentation Transcript: Offloading Your Oracle Analytics for Improved Performance

    Sponsored by: ParAccel

    Read this presentation transcript to learn how an analytic offload from the warehouse onto an analytical platform can extend the life of your existing data warehouse by up to two years and result in accelerated analytic performance, improved price performance, reduction in database administration and lower storage requirements.

  • A Complete Primer To Mobile BI

    Sponsored by: Oracle Corporation UK Ltd

    Business intelligence (BI) is a natural fit for mobile devices. In this eBook, appropriate for business intelligence professionals, get a complete, accessible overview of mobile BI from industry expert Wayne Eckerson.

  • Presentation Transcript: Unraveling the Data Warehouse Performance Traffic Jam

    Sponsored by: Teradata

    Today's data warehouse architectures can be highly-complex, expensive to maintain and overburdened by the increasing demand for advanced analytical workloads. Review this presentation transcript to learn the importance of deploying database technology that can handle mixed, shifting, and high-concurrency workloads, and more.

  • Big Data Challenges and Pitfalls

    Sponsored by: HP & Intel®

    This E-Guide examines key big data challenges and offers real-world strategies and advice for dealing with big data. In addition, examine typical pitfalls you may encounter during the data warehousing process.

  • Big Data Analytics- your project reality: The good, the bad, and the ugly

    Sponsored by: Infobright, Inc.

    Big data has quickly become the most talked-about trend is the business intelligence and analytics markets to-date – but, as many organizations are discovering, gaining insight from big data is easier said than done. Read this e-guide to get expert advice on big data analytics including 7 worst practices to avoid.

  • Creating An Integrated BI And Data Warehousing Architecture For Effective Management Of Analytical Workloads

    Sponsored by: Teradata

    Traditional business intelligence (BI) tools no longer cut it in the era of big data analytics as workloads and data requests continue to grow in complexity. Attend this exclusive webcast to learn the benefits of leveraging an integrated BI and data warehouse architecture to meet the increasingly-complex demands of the modern enterprise.

  • Learn How to Enable Agile BI presentation transcript

    Sponsored by: Actian Corporation

    It's estimated that most businesses only analyze 1-5% of their data for business intelligence (BI) – causing missed opportunities for improving business processes. Review this transcript to learn why BI is paramount for today's enterprises, why traditional approaches are falling short, the importance of agility in BI applications, and much more.

  • Worlds fastest database AND all the convenience of an appliance presentation transcript

    Sponsored by: Actian Corporation

    When Lenovo needed a pre-configured software and hardware strategy for effective data analytics, they teamed up with Actian to deliver a power data mart appliance. Read this transcript to learn about the data warehousing and analytics tool they deployed that can run queries up to 27 times faster.

  • The Changing Face of Analytics: How to Stay Ahead presentation transcript

    Sponsored by: Actian Corporation

    This transcript provides insight on how a variety of technologies are changing the manner in which analytics are done. Find out which tools you can use to keep up and learn how to leverage vector processing to expedite even the most complex queries when compared to traditional columnar or relational databases.

  • Big Data for Little Dollars

    Sponsored by: Actian Corporation

    Most IT pros know that legacy architecture falls short when it comes to big data, but few know how to optimize it without incurring huge costs. Review this transcript to learn about an innovative database that can give you back control of your data without raising costs.

  • Ultra Fast Data Analytics for Customer Success presentation transcript

    Sponsored by: Actian Corporation

    Most businesses today are optimizing their legacy data architecture in order to effectively support growing data volumes. Read this transcript to learn about the strategy Sheetz Inc. implemented that enabled them to reduce data loading time from 5 hours to 20 minutes, effortlessly process billions of rows of data, and more.

  • Maximizing the Value Provided by a Big Data Platform (Branham Group)

    Sponsored by: IBM

    This paper focuses on finding the value within big data and offers advice for delivering deeper insight to decision-makers and management. Also, discover how leading companies are benefiting from the recent emergence of MapReduce and real-time analytics.

  • E-Guide: Best Practices for BI Software Purchases in Manufacturing

    Sponsored by: DellEMC and Intel®

    There is great potential for manufacturers to get ahead of the competition by leveraging business analytics or "BI". However, there are several considerations that manufacturers need to keep in mind in order to achieve a successful BI implementation. Read this expert e-guide to learn best practices for addressing these key considerations.

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