Book Image

Data Governance Handbook

By : Wendy S. Batchelder
Book Image

Data Governance Handbook

By: Wendy S. Batchelder

Overview of this book

2.5 quintillion bytes! This is the amount of data being generated every single day across the globe. As this number continues to grow, understanding and managing data becomes more complex. Data professionals know that it’s their responsibility to navigate this complexity and ensure effective governance, empowering businesses with the right data, at the right time, and with the right controls. If you are a data professional, this book will equip you with valuable guidance to conquer data governance complexities with ease. Written by a three-time chief data officer in global Fortune 500 companies, the Data Governance Handbook is an exhaustive guide to understanding data governance, its key components, and how to successfully position solutions in a way that translates into tangible business outcomes. By the end, you’ll be able to successfully pitch and gain support for your data governance program, demonstrating tangible outcomes that resonate with key stakeholders.
Table of Contents (24 chapters)
1
Part 1:Designing the Path to Trusted Data
7
Part 2:Data Governance Capabilities Deep Dive
14
Part 3:Building Trust through Value-Based Delivery
20
Part 4:Case Study

Technical Metadata

Technical Metadata is typically used by more technical data professionals such as engineers, data operations professionals, system engineers, and general information technology analysts. Technical Metadata is information that describes the more technical aspects of data and includes key information to manage and understand the physical aspects of data. Technical Metadata includes location and formatting information across the following areas:

  • Data schema: The description of the structure of the database, including tables, rows/columns, and the relationship between them
  • Data dictionary: Includes data definitions, data lineage, and data quality rules
  • Data lineage: The history of how the data is created, processed, and used; it is used to enable data discovery, data integration, data governance, and data analysis

Why does it matter? What matters?

Documentation of physical data assets, movement, transformations, and relationships between physical...