Whitepapers and eBooks
Featured Whitepaper
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Teradata Aster Discovery Platform — Extending Analytics to Non-Relational Data This paper explains how the Teradata Aster solution works, specifically drilling into how its design philosophy enables it to cope not only with the myriad different types of big data that exist today, but how it is engineered to cope with those that will arise in the future. |
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MapReduce and the Data Scientist This paper examines the benefits of big data and the role of the data scientist in deploying big data solutions. It discusses the benefits of Hadoop MapReduce, Hive, and relational DBMSs that have added MapReduce capabilities. It presents a set of scenarios outlining how Hadoop and relational DBMS technology can coexist to provide the benefits of big data and big data analytics to the business and to data scientists. As an example of the use of MapReduce in arelational DBMS, the paper also reviews the implementation of MapReduce in the Aster Database. |
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Using Multi-Touch Attribution for Deeper Insight into the Customer Journey Today, the customer journey to attribution is multi-channel, multi-device, and multi-screen, making multi-touch attribution the default metric for truly valuable marketing insight and planning. This whitepaper demonstrates some of the ways marketers can transform attribution and better manage marketing spend, improve planning, and enhance the customer journey. |
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10 Top Considerations for Big Data Management and Advanced In-Database Analytics This checklist highlights the top 10 reasons why competitive organizations turn to new data management solutions to handle their growing data volumes and evolving analytic needs. This new analytics platform merges data storage and data analytics into one single system to conquer the big data challenge. |
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Aster Database: In-Database Analytics with R By pushing complete analytic applications into the data tier, Aster Data marries the power of standard SQL development with programming languages and new frameworks for analytic processing like R, Java, C/C#/C++, .NET, and Python, as well as new big data analytic processing techniques like MapReduce. |
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The Shortcut Guide to Large Scale Data Warehousing and Advanced Analytics As data warehouses grow to 10 TB and beyond, the means by which they are designed and operated, and even the way in which analytics are executed, must change in order to maintain high levels of performance. |
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A Revolutionary Approach for Advanced Analytics and Big Data Management
The future of competitive advantage lies in managing and analyzing all the critical data entering a business environment. Download this whitepaper to learn how you can bring big data analytics to your organization, quickly and cost-effectively using Aster Database, the first MPP database with "Applications-Within™." |
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Unlocking the Full Power of Massive Parallelism: Solving the Network Bottleneck in MPP Databases Aster Database is optimized logically and physically for network efficiencies to provide a fast, scalable database platform. |
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Aster's SQL-MapReduce®: Deriving Deep Insights from Big Datasets Aster's SQL-MapReduce® combines the power of MapReduce with the strengths of relational databases for fast analysis and transformations of structured data. |
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High Performance Risk Data Management and Analytics
Risk management is an increasingly critical function as financial firms and regulators deal with the current economic crisis. |
The Best Insights Possible
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Infographic: Keeping Up with the Speed of Big Data |
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White Paper: A Revolutionary Approach for Advanced Analytics and Big Data Management |
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Whitepaper: Deriving Deep Insights from Big Datasets |
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White Paper: Using Multi-Touch Attribution for Deeper Insight in the Customer Journey |
