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Data Warehouse ArchitecturesResearch

  • Generating business value from Big Data

    Sponsored by: IBM

    For high-end, challenging applications integrating business intelligence (BI) data with other information such as Internet clickstream and social networking data, the trend is shifting toward build in the buy vs. build data warehousing debate. Access this expert resource today to learn the drivers that are creating this new trend.

  • The road to Hadoop

    Sponsored by: IBM

    This e-guide highlights several popular Apache Hadoop use cases, and explores how organizations can leverage Hadoop to better prepare for long term big data analytics success.

  • Big Data Analytics

    Sponsored by: ComputerWeekly.com

    IDC explores the initial impact that Big Data is having on organisations, its impact on IT architectures, delivery models and future roadmaps.

  • The Impact of Corporate Real Estate on Records Management

    Sponsored by: Iron Mountain

    This white paper explores the hidden impact that shifting corporate real estate paradigms have on records management. Read now to ensure that the quality, accessibility and security of your organization's vital information assets remain unaffected. Read now to learn more.

  • A CIO's Guide to Records Management Compliance

    Sponsored by: Iron Mountain

    This e-guide explains how to formulate a solid records management policy, with help from data warehousing strategies.

  • Data Warehousing as a Service

    Sponsored by: Kognitio

    This concise case study outlines how they chose to leverage a Data warehousing as a Service (DaaS), allowing their pricing analysts to have access to a live analytical database, reports, and a team of experienced consultants who understand their business requirements.

  • 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.

  • Harness Your Data for Better, Faster Decision-Making

    Sponsored by: Dell Software

    In this new Dell white paper, learn about the challenges of data warehouses. Then, discover a powerful data warehouse appliance that can be quickly deployed, loads data almost immediately and helps eliminate the challenges of traditional data warehouse strategies. Download this valuable white paper today.

  • 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.

  • 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.

  • 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.

  • Understanding Oracle business intelligence and analytics

    Sponsored by: ParAccel

    In this SearchOracle.com expert e-guide, read a Q&A that dives into the topics covered at the annual summit held this January by the business intelligence (BI) special interest group within the Independent Oracle Users Group (IOUG), including  advanced Oracle analytics, connectors to Hadoop, the R statistical programming language, and big data.

  • 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.

  • FAQ: Hadoop for BI and Analytics

    Sponsored by: SAP America, Inc.

    Despite its idiosyncrasies and lack of user-friendliness, the Apache Hadoop framework offers real advantages for organizations tackling big data challenges and real-time analytics. Access this e-guide for answers to FAQs for BI professionals seeking to leverage the benefits of this niche technology as part of their big data analytics initiatives.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • BI Trends and Strategies E-Zine Issue 8

    Sponsored by: SearchBusinessAnalytics

    Organizations are carving out small slices of their DWs and databases where scientists and analysts can manipulate and analyze data sets. The intent of the data sandbox is to separate experimentation from the production database environment. Read this edition of BI Trends and Strategies to learn about the many benefits of using data sandboxes.

  • The IBM DB2 Analytics Accelerator for z/OS, V2.1

    Sponsored by: IBM

    The survival of a business is directly related to how quickly they can make strategic decisions. This white paper explores an analytics accelerator that expedites complex queries, allowing you to respond quickly to changing conditions.

  • Integrating Analytics into the Operational Fabric of Your Business

    Sponsored by: IBM

    Read this paper by industry expert Dr. Barry Devlin and learn everything you need to know about operational analytics and how it can benefit your business. Discover its relationship to BI, how traditional data warehouse support it, its architectural advantages and so much more.

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