| Data Modeling in the Healthcare Industry |
 | It has become imperative for data and information needed to conduct patient care, as well as business operations, to be made available in an accurate, timely, efficient manner, and to be understood by all impacted parties without ambiguity. Learn how the Teradata Healthcare LDM can be the underpinning foundation for such data and information.
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| Teradata Database's Ease of Management |
| | The real cost of the data warehouse is not in the cost of acquiring the software (operating system and DBMS); it's in the application development and overall management effort. This paper shows you the savings that accrue when constructing your data warehouse using a relatively self-managing database such as Teradata Database.
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| Teradata Application Development |
| | Database development has become more than writing SQL statements. Teradata Plug-in for Eclipse allows developers to leverage the Eclipse IDE to quickly generate Teradata Database objects and Java code. Within a single tool, developers can browse their databases, create objects and Java code, test applications, and run stored procedures.
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| The Evolution of Application Development for Teradata |
| | Teradata Application Platform provides an easy-to-use, plug-in architecture for developers who create or re-architect Teradata-based applications. It facilitates and accelerates application development by providing common semantics for describing Teradata applications, components and frequently-used base services.
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| User-defined Types |
| | This white paper describes the Teradata implementation of user-defined types and their application and benefits.
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| Event Based Applications |
| | This white paper describes the Teradata® Database Event Architecture primary enabling features of V2R6 that provide the building blocks for the development and deployment of event-based applications such as Queue Tables, invocation (firing) of Stored Procedures from Triggers, and External Stored Procedures (XSP) in support of the active data warehouse (ADW).
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| Large Objects in the Teradata Database |
| | This white paper discusses the Teradata Database support of BLOBs and LOBs and the movement of LOB data in and out of the server, locators, and the co-mingling of LOBs, UDFs, Stored Procedures, and Table Functions.
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| Exploring the Business Imperative of Real-Time Analytics |
| | Forward-looking organizations are moving to transform themselves into agile enterprises, capable of constant change, not just periodic realignment. In today's emerging distributed, collaborative, and intensely competitive business environment, your goal is to become an intelligent enterprise, able to forecast with accuracy, execute with confidence, and to make adjustments, large and small, at the speed of business. If you're exploring the need for real-time analytics to support this move, download the white paper to read the details.
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| Teradata Operational Data Store |
| | Operational Data Store (ODS) workloads are characterized as high-volume, tactical decision making requests. Such workloads are also referred to as on-line complex processing. Teradata systems address ODS workloads without adding extra databases and systems.
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| Enterprise Data Quality For Business Intelligence |
| | The modern business intelligence (BI) environment must address a daunting array of challenges, including: A broad spectrum of analytical applications, increasing data volumes, increasing data disparity, and refresh rates ranging from periodic to continuous. All of these challenges escalate the complexity of data quality processing, which is fundamental to the promise of BI.
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| Security Features in Teradata Database |
| | This white paper provides an overview of the security features and describes scenarios for their usage. The paper will also discuss the independent evaluation of the Teradata Database to the international Common Criteria for Information Technology Security Evaluation (ISO 15408) Standard.
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| Single-level and Multilevel Partitioned Primary Indexes |
| | This white paper describes how single-level partitioned primary indexes, introduced in Teradata Database V2R5 and extended to multiple levels in Teradata Database 12.0, provide an opportunity to significantly improve performance of certain queries and to improve the performance of high-volume insert, update, and delete operations.
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| Teradata Analyst Pack |
| | This white paper provides a product overview of the components of the Teradata Analyst Pack in Teradata Warehouse.
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| Current Practices in Active Data Warehousing |
| | Dr. Richard Hackathorn conducted a series of interviews regarding seven companies who have pioneered implementations of active data warehousing: 3M Corporation, Delta Technology, Ford Motor, Midwest Card Services, PING Inc., Strategy.com, and Union Pacific. This white paper summarizes these interviews, and then synthesizes the common themes and lessons learned.
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| Teradata Multi-Value Compression |
| | This new white paper by Mark Morris discusses businesses' ability to affordably keep all business data accessible to the warehouse -- forever. The paper describes Teradata's method of compression -- lossless compression -- which means that although the data are compacted, there is no loss of data.
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| Born to be Parallel |
| | This white paper describes how the Teradata Database was conceived as a parallel database engine and why this fact is important.
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| The Teradata Scalability Story |
| | What does scalability for a data warehouse actually mean, compared to OLTP scalability? Examples from actual customer benchmarks are used to illustrate how Teradata scales in three key dimensions: with volume, as concurrency grows, and as the hardware configuration is expanded.
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