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An Introduction to Agile Data Engineering Using Data Vault 2.0

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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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Building A Scalable Data Warehouse With

Vault architecture. Provides a complete introduction to data warehousing, applications, and the business context so readers;

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Agile Systems Engineering

engineering specification data to downstream engineers with no loss of fidelityIncludes detailed examples from across industries taken;

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Agile Machine Learning

Manifesto. Bringing together talented people to create a great applied machine learning team is no small feat. With developers and data scientists;

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Engineering Agile Big-Data Systems

expensive modification and continued operation with an inefficient design. Engineering Agile Big-Data Systems outlines an approach to dealing;

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Agile Data Warehousing For The Enterpris

over time an enterprise data warehouse emerges Use the provided 120-day road map to establish a robust, agile data warehousing program

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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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Building the Agile Database

development fad 2. The critical distinction between the logical and physical views of data 3. The importance of data virtualization, and how to;

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Agile Visualization with Pharo

Roassal visualization engine and first presents the basic and necessary tools to visualize data, including an introduction to the Pharo;

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Business Intelligence Automatisierung durch Data Vault

Das Data Vault ist eine alternative Modellierungsvariante fur Enterprise Data Warehouses. Durch die Verwendung von drei Entitatstypen;

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Data Engineering with Apache Spark, Delta Lake, and Lakehouse

scientists, and data analysts can rely on. Starting with an introduction to data engineering, along with its key concepts and architectures, this;

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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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Big Data and Differential Privacy

A comprehensive introduction to the theory and practice of contemporary data science analysis for railway track engineering Featuring a;

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Agile Data Warehousing Project Management

wisdom of agile data warehousing expert Ralph Hughes. Agile Data Warehousing Project Management will give you a thorough introduction to;

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Data Structures using Python

Data Structures using Python provides an introduction to design, analysis, and implementation of data structures using the powerful;

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Data Science

Data Science: An Introduction focuses on using the R programming language in Jupyter notebooks to perform basic data manipulation and;

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Introduction to Controlled-Source Electromagnetic Methods

hydrocarbon content of the upper few kilometres of the Earth, on land and at sea. The authors show how the signal-to-noise ratio of the measured data;

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Introduction to Pattern Recognition

Introduction to Pattern Recognition: A Matlab Approach is an accompanying manual to Theodoridis/Koutroumbas' Pattern Recognition.

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Applied Probabilistic Calculus for Financial Engineering

Engineering: An Introduction Using R provides R recipes for asset allocation and portfolio optimization problems. It begins by introducing all the;

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Agile Data Science

applications. Agile Data shows you how to create an environment for exploring data, using lightweight tools such as Ruby, Python, Apache Pig, and the;

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Mapping Data Flows in Azure Data Factory

aspects of an end-to-end data pipeline that includes repeatable design patterns based on best practices using ADF's code-free data transformation;

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The Business Value of Agile Software Methods

Whether to continue using traditional cost and benefit analysis methods such as systems and software engineering standards or to use a;

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Flowgraph Models For Multistate Time-To-Event Data

are emphasized. Coverage includes: Clear instructions on how to model multistate time--to--event data using flowgraph models An emphasis on;

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Data Visualization and Knowledge Engineering: Spotting Data Points with Artificial Intelligence

exploration focuses on perception of information and manipulation of data to enable even non-expert users to extract knowledge. A number;

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An Introduction to Vegetation Analysis

-7981-2 Library of Congress Cataloging-in-Publication Data Causton, David R. An introduction to vegetation analysis. Bibliography: p. Includes;

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Algorithm Design

Engineering, a text designed to provide a comprehensive introduction to the design, implementation and analysis of computer algorithms and data;

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