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Building the Unstructured Data Warehouse

unstructured data warehouse requires additional skills from the analyst, architect, designer, and developer. This book will prepare you to successfully;

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Building the Data Warehouse

methods for handling unstructured data in a data warehouse and storing data across multiple storage media, and discusses the pros and cons;

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Building Big Data Applications

Building Big Data Applications helps data managers and their organizations make the most of unstructured data with an existing data;

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Tapping Into Unstructured Data

Microsystems The Definitive Guide to Unstructured Data Management and Analysis--From the World's Leading Information Management Expert A wealth;

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Dw 2.0: The Architecture For The Next Generation Of Data War

architecture and then delving into the issues underlying the components. This allows people who are building or using a data warehouse to see what lies;

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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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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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Managing Multimedia and Unstructured Data in the Oracle Database

who read it to gain a greater understanding of multimedia and how all unstructured data is managed.;

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Building and Maintaining a Data Warehouse

As it is with building a house, most of the work necessary to build a data warehouse is neither visible nor obvious when looking at the;

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Building and Maintaining a Data Warehouse

As it is with building a house, most of the work necessary to build a data warehouse is neither visible nor obvious when looking at the;

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Building a Data Warehouse

Now available in paperback Building a Data Warehouse: With Examples in SQL Server describes how to build a data warehouse;

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Data Warehousing in the Age of Big Data

Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing;

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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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Building A Scalable Data Warehouse With

nature, the Data Vault 2.0 standard helps prevent typical data warehousing failures. "Building a Scalable Data Warehouse" covers;

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A Manager's Guide to Data Warehousing

provides practical methods to building a collaborative data warehouse . You'll get clear explanations of the goals and objectives of each stage;

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Data Warehouse ETL Toolkit

Cowritten by Ralph Kimball, the world's leading data warehousing authority, whose previous books have sold more than 150,000 copies;

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Strategic Data Warehousing

focus on either the technical aspects of building data warehouses or on business strategies, this valuable reference synthesizes technological;

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Strategic Data Warehousing

focus on either the technical aspects of building data warehouses or on business strategies, this valuable reference synthesizes technological;

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Datawarehouse toolkit

A leading proponent of the dimensional data warehouse, a database model designed to improve managers' ability to quickly analyze large;

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Data Warehousing

a practical understanding of both the business and technical aspects of building a data warehouse for storing and accessing data in a;

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Understanding Etl and Data Warehousing

Testing in data warehouse systems is substantial because it is oriented towards the correctness and validation of data/ information;

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Integration externer Informationen in ein Data Warehouse zur Unterstutzung des Managements

2.1Daten als Basis unternehmerischer Entscheidungen 2.2Produktions- und Wettbewerbsfaktor Information 2.3Management Support Systeme 3.Data;

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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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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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Unstructured Data Analytics

Turn unstructured data into valuable business insight Unstructured Data Analytics provides an accessible, non-technical introduction to the;

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Data Mapping for Data Warehouse Design

Data mapping in a data warehouse is the process of creating a link between two distinct data models' (source and target) tables/attributes;

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Advanced Data Warehouse Design

This exceptional work provides readers with an introduction to the state-of-the-art research on data warehouse design, with many references;

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