Data governance is the management of an organization´s data assets, specifically availability, usability, integrity and security of those assets. This book is for any manager or team leader who has the green light to implement a data governance program. The problem of managing data continues to grow with issues surrounding cost of storage, exponential growth, and administrative, management and security concerns - the solution to being able to scale all of these issues up is data governance, which provides better services to users and saves money. The reader will receive an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable.
Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that?s so clouded in hype? This insightful book, based on Columbia University?s Introduction to Data Science class, tells you what you need to know. A guide to the usefulness of data science covers such topics as algorithms, logistic regression, financial modeling, data visualization, and data engineering.
Explains how to make data-driven design part of your product design workflow, in a book that explains the best practices for analyzing and applying user data when making design decisions, teaches different approaches to data-informed design, explores potential pitfalls when relying on data and much more. Original.
Data stewards in business and IT are the backbone of a successful data governance implementation because they do the work to make a company´s data trusted, dependable, and high quality. Data Stewardship explains everything you need to know to successfully implement the stewardship portion of data governance, including how to organize, train, and work with data stewards, get high-quality business definitions and other metadata, and perform the day-to-day tasks using a minimum of the steward´s time and effort. David Plotkin has loaded this book with practical advice on stewardship so you can get right to work, have early successes, and measure and communicate those successes, gaining more support for this critical effort. Provides clear and concise practical advice on implementing and running data stewardship, including guidelines on how to organize based on company structure, business functions, and data ownership Shows how to gain support for your stewardship effort, maintain that support over the long-term, and measure the success of the data stewardship effort and report back to management Includes detailed lists of responsibilities for each type of data steward and strategies to help the Data Governance Program Office work effectively with the data stewards
The first of its kind - a data visualisation book combining beautiful presentation with student-specific guidance and learning features. This resource empowers and inspires readers to be able to present data effectively.
Relational database technologies continue to be predominant in Java enterprise applications, but with newer technologies such as NoSQL databases and Hadoop available, RDBMS is no longer considered a ´´one size fits all´´ solution. This book shows you how to increase your options with Spring´s data access framework.
Dieses Lehrbuch behandelt die wichtigsten Methoden zur Erkennung und Extraktion von ´´Wissen´´ aus numerischen und nicht-numerischen Datenbanken in Technik und Wirtschaft. Der Autor vermittelt einen kompakten und zugleich fundierten Überblick über die verschiedenen Methoden sowie deren Zielsetzungen und Eigenschaften. Dadurch werden Leser befähigt, Data Mining eigenständig anzuwenden.
From an award-winning project comes an inspiring, collaborative book that makes data artistic, personal - and open to all Each week for a year, Giorgia and Stefanie sent each other a postcard describing what had happened to them during that week around a particular theme. But they didn´t write it, they drew it: a week of smiling, a week of apologies, a week of desires. Presenting their fifty-two cards, along with thoughts and ideas about the data-drawing process, Dear Data hopes to inspire you to draw, slow down and make connections with other people, to see the world through a new lens, where everything and anything can be a creative starting point for play and expression.