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  • Teradata Aster Discovery Portfolio

    Access the following white paper to uncover a discovery and analytics platform that can give you more insight from your big data than what can be found with multiple systems. Get a firsthand look at how an all-inclusive discovery system can deliver faster and more powerful insights, ultimately improving your functions and profitability.

  • Unified Data Architecture

    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.

  • Discovering the Value of a Data Discovery Platform

    Access the following white IDC research paper to uncover the requirements and drivers for acquiring a data discovery platform. Also learn about the capabilities with deployment, recommendations to choose from, and more

  • Harnessing the Value of Big Data Analytics

    Access the following white paper to uncover the tools and strategies you need to know to be able to pull actionable insight from big data. Discover how to choose the right solutions for big data analytics, the challenges of converting big data to insight, and more.

  • Data Movement of Big Data Critical to BI and Analytics

    Capitalizing on the value of big data starts with effective data movement. In this on-demand podcast, learn why organizations are moving away from traditional extract, transform, and load (ETL) methodologies in favor of ELT strategies in order to truly benefit from all that big data has to offer.

  • Presentation Transcript: Unraveling the Data Warehouse Performance Traffic Jam

    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.

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

    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.

  • Teradata Active Data Warehouse Private Cloud: Mitigate Risk and Meet Dynamic Business Needs

    Check out this article now to learn about public v. private clouds and how they stack up when it comes to mitigating risk and meeting business needs.

  • A Beautiful, Cloudy Forecast: Research shows business potential in cloud-based predictive analytic solutions

    Predictive analytics and cloud solutions are changing the way organizations do business. But what about predictive analytics in the cloud? Check out this article by industry expert James Taylor on the concerns and benefits regarding cloud-based predictive analytics and learn about companies that have experienced the impressive results. 

  • Cloud-based BI, the pros and cons

    With the ever-increasing influx of information and the need to effectively analyze it without using excessive time and funds, cloud business intelligence (BI) is becoming widely adopted among organizations. This e-guide provides expert insight on the strengths and weaknesses of cloud analytics and BI versus traditional on-premise systems.

  • Cloud Computing Models for Data Warehousing

    This paper examines cloud computing models for data warehousing and the differences between public versus private clouds.

  • Magic Quadrant for Data Warehouse Database Management Systems

    The database warehouse DBMS market is evolving as needs change and demands for better, more efficent technology increase.  With the competition for the next big database warehouse becoming more and more intense, vendors are stepping up their own marketing efforts.  Because of this, it's important to know how to tell which system is right for you.

  • Oracle to Teradata Migration Case Studies: Realizing value and improving capabilities

    This paper profiles four of the more than 200 Oracle customers who have migrated to a Teradata solution. The companies profiled in this paper have achieved performance improvements, additional business benefits that justify the migration cost, and successful integration of the Teradata Database with the Oracle OLTP environment.

  • Magic Quadrant for Data Warehouse Database Management Systems (Gartner)

    The data warehouse DBMS market is undergoing a transformation, including many acquisitions, as vendors adapt data warehouses to support the modern business intelligence and analytic workload requirements of users. This document compares 16 vendors, including IBM & Netezza, to help customers find the right one for their needs.

  • Exadata is Still Oracle

    Sequels are usually never better.  How did Oracle try tackling their underlying performance and scalability problems with the release of their third-generation Exadata solution?  Read our white paper and discover how Oracle’s Exadata delivers far less improvement in data warehouse performance.

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