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Agile Data Warehousing For The Enterpris

Building upon his earlier book that detailed agile data warehousing programming techniques for the Scrum master, Ralph's latest work;

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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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Agile Data Warehousing Project Management

You have to make sense of enormous amounts of data, and while the notion of "agile data warehousing" might sound tricky, it can yield;

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Google BigQuery The Definitive Guide Data Warehousing, Analytics, and Machine Learning at Scale

director for the BigQuery team, provide best practices for modern data warehousing within an autoscaled, serverless public cloud. Whether you;

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Agile Analytics

Using Agile methods, you can bring far greater innovation, value, and quality to any data warehousing (DW), business intelligence (BI), or;

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Agile Data Warehouse Design

describes BEAM, an agile approach to dimensional modeling, for improving communication between data warehouse designers, BI stakeholders and the;

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Data Warehousing Fundamentals for IT Professionals

Since the first edition of Data Warehousing Fundamentals, there has been an increase in enterprises either already having or in the process;

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Data Warehousing in the Real World

suppliers of hardware, databases and tools. Data Warehousing in the Real World provides comprehensive guidelines and techniques for the delivery;

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Realizing Generic Data Warehouses by Generic SQL Programming

, it is the only one on the market that provides a sophisticated, directly executable, i.e., copy-paste-run, bitemporal generic data warehouse;

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Data Warehousing in Action

of this data in a system that allows for rapid retrieval of customized information, is the solution. This book, written by a data warehousing;

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Enterprise Business Intelligence and Data Warehousing

data warehousing (DW), and very often appoint a single senior-level individual to serve as the Enterprise BI/DW Program Manager. This book;

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Intelligent Data Warehousing

of these systems depends on the ability to construct, maintain, and extract information from data warehouses. While many still perceive data;

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Data Warehousing and Knowledge Discovery

, the process of retrieval and knowledge discovery from this huge amount of heterogeneous complex data forms the litmus test for research in the;

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Emerging Perspectives in Big Data Warehousing

The concept of a big data warehouse appeared in order to store moving data objects and temporal data information. Moving objects are;

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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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Data Warehouse ETL Toolkit

Delivers real-world solutions for the most time- and labor-intensive portion of data warehousing-data staging, or the extract, transform, load (ETL;

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Data Warehousing Strategie

Data Warehousing ist seit einigen Jahren in vielen Branchen ein zentrales Thema. Die anfangliche Euphorie tauschte jedoch daruber hinweg;

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Transactions on Large-Scale Data- and Knowledge-Centered Systems II

, the International Conference on Data Warehousing and Knowledge Discovery (DaWaK) has established itself as one of the most important;

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Data Warehousing and Knowledge Discovery

This book constitutes the refereed proceedings of the 13th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2011;

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Data Mining and Data Warehousing Principles and Practical Techniques

of undergraduate students of computer science, engineering and information technology for a course on data mining and data warehousing. The text simplifies;

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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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Data Warehousing Essentials

, catalogued, transformed and used for data mining, market research, decision support and online analytical processing. The ways to analyze or retrieve;

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Building A Scalable Data Warehouse With

The Data Vault was invented by Dan Linstedt at the U.S. Department of Defense, and the standard has been successfully applied to data;

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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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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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BigQuery for Data Warehousing

Intermediate-Advanced user level;...

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E Governance Data Center, Data Warehousing and Data Mining

for writing this book was the need to build an organized framework for E Governance using Data Mining-a challenging task, owing to the;

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