How Long to Read Entity Information Life Cycle for Big Data

How Long Does it Take to Read Entity Information Life Cycle for Big Data?

It takes the average reader 4 hours and 18 minutes to read Entity Information Life Cycle for Big Data by John R. Talburt

Assuming a reading speed of 250 words per minute. Learn more

Description

Entity Information Life Cycle for Big Data walks you through the ins and outs of managing entity information so you can successfully achieve master data management (MDM) in the era of big data. This book explains big data’s impact on MDM and the critical role of entity information management system (EIMS) in successful MDM. Expert authors Dr. John R. Talburt and Dr. Yinle Zhou provide a thorough background in the principles of managing the entity information life cycle and provide practical tips and techniques for implementing an EIMS, strategies for exploiting distributed processing to handle big data for EIMS, and examples from real applications. Additional material on the theory of EIIM and methods for assessing and evaluating EIMS performance also make this book appropriate for use as a textbook in courses on entity and identity management, data management, customer relationship management (CRM), and related topics. Explains the business value and impact of entity information management system (EIMS) and directly addresses the problem of EIMS design and operation, a critical issue organizations face when implementing MDM systems Offers practical guidance to help you design and build an EIM system that will successfully handle big data Details how to measure and evaluate entity integrity in MDM systems and explains the principles and processes that comprise EIM Provides an understanding of features and functions an EIM system should have that will assist in evaluating commercial EIM systems Includes chapter review questions, exercises, tips, and free downloads of demonstrations that use the OYSTER open source EIM system Executable code (Java .jar files), control scripts, and synthetic input data illustrate various aspects of CSRUD life cycle such as identity capture, identity update, and assertions

How long is Entity Information Life Cycle for Big Data?

Entity Information Life Cycle for Big Data by John R. Talburt is 254 pages long, and a total of 64,516 words.

This makes it 86% the length of the average book. It also has 79% more words than the average book.

How Long Does it Take to Read Entity Information Life Cycle for Big Data Aloud?

The average oral reading speed is 183 words per minute. This means it takes 5 hours and 52 minutes to read Entity Information Life Cycle for Big Data aloud.

What Reading Level is Entity Information Life Cycle for Big Data?

Entity Information Life Cycle for Big Data is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Entity Information Life Cycle for Big Data?

Entity Information Life Cycle for Big Data by John R. Talburt is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

To buy Entity Information Life Cycle for Big Data by John R. Talburt on Amazon click the button below.