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Developing a Data Warehouse for the Healthcare Enterprise

This third edition to the award-winning book is a straightforward view of a clinical data warehouse development project, from inception;

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Developing a Data Warehouse for the Healthcare Enterprise

This third edition to the award-winning book is a straightforward view of a clinical data warehouse development project, from inception;

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Modeling the Agile Data Warehouse with Data Vault

Data Modeling for Agile Data Warehouse using Data Vault Modeling Approach. Includes Enterprise Data Warehouse Architecture. This is a;

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Business Intelligence and Data Warehousing

Business Intelligence and Data Warehousing deals with the main components of a data warehouse for business intelligence applications;

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Business Metadata: Capturing Enterprise Knowledge

unstructured data, and offer solutions for codifying it for use in IT and management. Written by Bill Inmon, one of the fathers of the data warehouse;

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Next Generation Big Data

with next-generation big data technologies. Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern;

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Oracle Data Warehouse Tuning for 10g

of a data warehouse while giving the necessary examples to make the reading a lively experience. - Tim Donar, Author and Systems Architect;

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Data Warehouse Lifecycle Toolkit

A thorough update to the industry standard for designing, developing, and deploying data warehouse and business intelligence systems The;

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Kimball's Data Warehouse Toolkit Classics

Three books by the bestselling authors on Data Warehousing! The most authoritative guides from the inventor of the technique all for a;

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Administrative Healthcare Data

Explains the source and content of administrative healthcare data, which is the product of financial reimbursement for healthcare services;

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Enterprise Analytics

research on analytics in a single primer for maximizing the value of enterprise data. Enterprise Analytics is today's definitive guide to analytics;

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Strategic Data Warehousing

Organization of data warehouses is a vital, but often neglected, aspect of growing an enterprise. Unlike most books on the subject that;

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Strategic Data Warehousing

Organization of data warehouses is a vital, but often neglected, aspect of growing an enterprise. Unlike most books on the subject that;

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Building Big Data Applications

. The book includes a wide range of use cases that will help data managers visualize reference architectures in the context of specific;

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Open Source Data Warehouse

To fulfill the objectives of data warehouse, a number of front-end tools and back-end tools are required. Front-end tools include analysis;

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Database & Data Warehousing Technologies

bio-medical domain, describing building a health care data warehouse for cancer diseases, building an osteoporosis data warehouse in the;

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Implementing Enterprise Data Warehousing

Designing complex analytical data structures is difficult enough, but to do it for an entire enterprise becomes a real challenge. This;

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Data Warehousing in the Age of Big Data

, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance;

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Building a Data Warehouse

Here is the ideal field guide for data warehousing implementation. This book first teaches you how to build a data warehouse, including;

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Exam Ref 70767 Implementing a SQL Data Warehouse

include data cleansing as well as ETL and data warehouse implementation. The reader should have experience installing and implementing a Master;

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Learning Informatica PowerCenter 9.x

If you wish to deploy Informatica in enterprise environments and make a career in data warehousing, then this book is for you. Whether you;

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Professional SQL Server 2000 Data Warehousing with Analysis Services

significant extension to the robust OLAP functionality of SQL 7.0 and provide a complete, end-to-end platform for analysis. Features include: data;

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Understanding Etl and Data Warehousing

help of a hand coded Extraction, Transformation and Loading (ETL) routine. To ensure quality data for a data warehouse and to promulgate the;

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Analytical Puzzle

suitable for data mining and analytics. The Analytical Puzzle describes an unbiased, practical, and comprehensive approach to building a data;

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Business Intelligence for Enterprise Internet of Things

utilities, and enterprise healthcare. They cover how IoT in the enterprise will have a major impact on the lives of consumers and professionals;

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Building a Data Warehouse

/>The book is organized as follows. In the beginning of this book (chapters 1 through 6), you learn how to build a data warehouse, for;

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Corporate Information Factory

The father of data warehousing incorporates the latest technologies into his blueprint for integrated decision support systems Today's;

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