Beschreibung Data Governance: How to Design, Deploy and Sustain an Effective Data Governance Program (The Morgan Kaufmann Series on Business Intelligence). This book is for any manager or team leader that 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, as well as 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. What you will find in this book is an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. With the provided framework and case studies you will be enabled and educated in launching your very own successful and money saving data governance program.
Data Governance: How to Design, Deploy, and Sustain an ~ Data Governance, Second Edition, is for any executive, manager or data professional who needs to implement a data governance program, to ensure consistent, accurate and reliable data across their organization. The problem of managing data continues to grow with issues surrounding the cost of storage, exponential growth, as well as administrative, management and security concerns the solution .
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Developing an effective governance operating model A guide ~ • Sustain governance by creating a feedback loop in which the board and management can identify and respond to new business, operational, competitive, and regulatory needs A governance operating model may contribute to solving the common problem of “management by memo” in governance. It is rarely enough for the board or management simply to articulate principles and issue policies, no .
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What is a data lake? ~ A data lake is different, because it stores relational data from line of business applications, and non-relational data from mobile apps, IoT devices, and social media. The structure of the data or schema is not defined when data is captured. This means you can store all of your data without careful design or the need to know what questions you might need answers for in the future. Different .
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