Reference Data

How is your school data performing for you? Examine the ways your school can better use student achievement data, nonacademic student data, staff data, and parent/community data to identify areas for

1 Introduction2 Coordinate Systems3 Vector Data Model4 Raster Data Model5 GIS Data Acquisition6 Geometric Transformation7 Spatial Data Accuracy and Quality8 Attribute Data Management9 Data Display and

Personal data is data about people. Researchers collect personal data to learn more about populations. Companies collect personal data online to help sell their products. Personal Data Collection expl

An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and professional resource. Assuming only a basic knowledge of statistical reasoning, it presents core concept

When you die, what will be left about you online? How will your online accounts be accessed and how will you be remembered for posterity? From online banking to decades worth of digital family photos,

The Grant and Fundraising Helper is a framework for you to present your project in a clear and confident style, establish a rapport with funders and succeed with your proposal. In this book, you’ll fi

If you’ve ever struggled to create health in your life, this book is your guide towards a new vision of sustainable health. It encourages you to free your body through movement in all environments and

In today's book market self-publishing may well be your best option. Self-Publishing 101 explains the advantages and pitfalls of various options for getting your book into print and provides a step-by

With easy-to-read language and illustrations on almost every page, the DATA Set chapter books are perfect for emerging readers.March of the Mini Beasts (The DATA Set #1)Don't Disturb the Dinosaurs (The DATA Set #2)The Sky Is Falling (The DATA Set #3)Robots Rule the School (The DATA Set #4)A Case of the Clones (The DATA Set #5)Invasion of the Insects (The DATA Set #6)Out of Remote Control (The DATA Set #7)Down the Brain Drain (The DATA Set #8)S.O.S. From Outer Space (The DATA Set #9)Revenge of Dr. von Naysayer (The DATA Set #10)A Little Snow Must Fall (The DATA Set #11)

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuse

This data guide takes readers through the cycle of social science research, from applying for a research grant, through conducting the data collection phase, and ultimately to preparing the data for d

Gain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualizationAbout This BookHandle your data with precision and care for optimal

This book covers computationally innovative methods and technologies including data collection and elicitation, data processing, data analysis, data visualizations, and data presentation. It explores

Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining by Glenn J. Myatt (978-0-470-07471-8) and Making Sense of Data II: A Practical Guide to Data Visualization, Advance

Data stewards in any organization are the backbone of a successful data governance implementation because they do the work to make data trusted, dependable, and high quality. Since the publication of the first edition, there have been critical new developments in the field, such as integrating Data Stewardship into project management, handling Data Stewardship in large international companies, handling "big data" and Data Lakes, and a pivot in the overall thinking around the best way to align data stewardship to the data-moving from business/organizational function to data domain. Furthermore, the role of process in data stewardship is now recognized as key and needed to be covered.Data Stewardship, Second Edition provides clear and concise practical advice on implementing and running data stewardship, including guidelines on how to organize based on organizational/company structure, business functions, and data ownership. The book shows data managers how to gain support for a stewards

Pro ADO.NET Data Services: Working with RESTful Data is aimed at developers interested in taking advantage of the REST–style data services that ADO.NET Data Services (formerly code–named Astoria) prov

Today, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone is looking deeply into this technology. But no one is looking at the larger archite

Data mapping in a data warehouse is the process of creating a link between two distinct data models’ (source and target) tables/attributes. Data mapping is required at many stages of DW life-cycle to

Building a Scalable Data Warehouse with Data Vault 2.0 covers everything users need to create a scalable data warehouse from scratch, including a presentation of the Data Vault modeling technique whic

Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining by Glenn J. Myatt (978-0-470-07471-8), Making Sense of Data II: A Practical Guide to Data Visualization, Advanced D

Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that aboun