Database design and theory

Data access is essential for serving the public good.

Data access is essential for serving the public good.

Describes the underlying theory as well as algorithms, optimisation ideas and implementation details.

Describes the underlying theory as well as algorithms, optimisation ideas and implementation details.

THE BEST SQL BOOK FOR BEGINNERS - HANDS DOWN!

For the past decade, e-mail has been the preferred method of internal communication in libraries.

For the past decade, e-mail has been the preferred method of internal communication in libraries.

Discovery tools are now becoming more common in the academic library landscape, and more products are now available from vendors.

Discovery tools are now becoming more common in the academic library landscape, and more products are now available from vendors.

To deliver the insights that give them a competitive advantage, organizations increasingly turn to the proven Medallion architecture.

Confidently shepherd your organization s implementation of Microsoft Dynamics 365 to a successful conclusion In Mastering Microsoft Dynamics 365 Implementations, accomplished executive, project manager, and author Eric Newell delivers a holistic, step-by-step reference to implementing Microsoft s cloud-based ERP and CRM business applications.

Confidently shepherd your organization s implementation of Microsoft Dynamics 365 to a successful conclusion In Mastering Microsoft Dynamics 365 Implementations, accomplished executive, project manager, and author Eric Newell delivers a holistic, step-by-step reference to implementing Microsoft s cloud-based ERP and CRM business applications.

Jump-start your career as a data scientist learn to develop datasets for exploration, analysis, and machine learning SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that s dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most.

Jump-start your career as a data scientist learn to develop datasets for exploration, analysis, and machine learning SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that s dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most.

Provides a one-stop resource for engineers learning biostatistics using MATLAB and WinBUGS Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing bio-oriented engineering fields while implementing software packages that are familiar to engineers.

Provides a one-stop resource for engineers learning biostatistics using MATLAB and WinBUGS Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing bio-oriented engineering fields while implementing software packages that are familiar to engineers.

A pragmatic approach to Big Data by taking the reader on a journey between Big Data (what it is) and the Smart Data (what it is for).

A pragmatic approach to Big Data by taking the reader on a journey between Big Data (what it is) and the Smart Data (what it is for).

A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person.

A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person.

In the big data age, this Element offers many modern methods and opensource code for learning from high dimensional data.

Offers researchers and teachers an introduction to clustering, with R code and real data to facilitate interaction with the concepts.

Provides a summary of the key developments of a decade of research into the area of data exchange.

Provides a summary of the key developments of a decade of research into the area of data exchange.

Although change is constant in business and analytics, some fundamental principles and lessons learned are truly timeless, extending and surviving beyond the rapid ongoing evolution of tools, techniques, and technologies.

A modern, comprehensive 2010 overview providing an easy introduction for applied scientists who are not versed in mathematics.

Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data.

Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data.

Why is Google Analytics 4 the most modern data model available for digital marketing analytics?

Why is Google Analytics 4 the most modern data model available for digital marketing analytics?

Nowadays, finance, mathematics, and programming are intrinsically linked.

Nowadays, finance, mathematics, and programming are intrinsically linked.

This book explores the transformative impact of drone technology and unmanned aerial systems (UAS) across diverse industries, from precision agriculture and logistics to disaster response and forensic investigations.

Searching for a needle in a haystack is an important task in several contexts of data analysis and decision-making.

Searching for a needle in a haystack is an important task in several contexts of data analysis and decision-making.

Health care utilization routinely generates vast amounts of data from sources ranging from electronic medical records, insurance claims, vital signs, and patient-reported outcomes.

Health care utilization routinely generates vast amounts of data from sources ranging from electronic medical records, insurance claims, vital signs, and patient-reported outcomes.

Essential to database design, entity-relationship (ER) diagrams are known for their usefulness in data modeling and mapping out clear database designs.

Essential to database design, entity-relationship (ER) diagrams are known for their usefulness in data modeling and mapping out clear database designs.

Cultivating Professional Identity in Design is a nuanced, comprehensive companion for designers across disciplines honing their identities, self-perception, personal strengths, and essential attributes.

Cultivating Professional Identity in Design is a nuanced, comprehensive companion for designers across disciplines honing their identities, self-perception, personal strengths, and essential attributes.

Databases have become an integral part of modern life.

Databases have become an integral part of modern life.

To deliver the insights that give them a competitive advantage, organizations increasingly turn to the proven Medallion architecture.

This book examines the use of big data in regenerative urban environment and how data helps in functional planning and design solutions.

This book examines the use of big data in regenerative urban environment and how data helps in functional planning and design solutions.

This book provides a concise but comprehensive guide to the disciplines of database design, construction, implementation, and management.

This book provides a concise but comprehensive guide to the disciplines of database design, construction, implementation, and management.

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