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  • Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness

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Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness

4.4 out of 5 stars (104)

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As you move data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure your organization meets compliance requirements. Data governance incorporates the ways people, processes, and technology work together to ensure data is trustworthy and can be used effectively. This practical guide shows you how to effectively implement and scale data governance throughout your organization.

Chief information, data, and security officers and their teams will learn strategy and tooling to support democratizing data and unlocking its value while enforcing security, privacy, and other governance standards. Through good data governance, you can inspire customer trust, enable your organization to identify business efficiencies, generate more competitive offerings, and improve customer experience. This book shows you how.

You'll learn:

  • Data governance strategies addressing people, processes, and tools
  • Benefits and challenges of a cloud-based data governance approach
  • How data governance is conducted from ingest to preparation and use
  • How to handle the ongoing improvement of data quality
  • Challenges and techniques in governing streaming data
  • Data protection for authentication, security, backup, and monitoring
  • How to build a data culture in your organization

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From the brand


From the Publisher

Data Governance, trust

From the Preface

In recent years, the ease of moving to the cloud has motivated and energized a fast-growing community of data consumers to collect, capture, store, and analyze data for insights and decision making. For a number of reasons, as adoption of cloud computing continues to grow, information management stakeholders have questions about the potential risks involved in managing their data in the cloud. Evren faced such questions for the first time when he worked in healthcare and had to put in place the processes and technologies to govern data. Now at Google Cloud, Uri and Lak also answer these questions nearly every week and dispense advice on getting value from data, breaking down data silos, preserving anonymity, protecting sensitive information, and improving the trustworthiness of data.

We noticed that GDPR was what precipitated a sea change in customers’ behavior. Some customers even deleted their data, thinking it was the right thing to do. That reaction, more than any other, prompted us to write this book capturing the advice we have provided over the years to Google Cloud customers.

If data is the new currency, we do not want enterprises to be scared of it. If the data is locked away or is not trustworthy, it is of no value.

We all pride ourselves on helping Google Cloud customers get value for their technical expenditures. Data is a huge investment, and we felt obligated to provide our customers with the best way to get value from it.

Customers’ questions usually involve one of three risk factors:

Securing the data: Storing data in a public cloud infrastructure might concern large enterprises that typically deploy their systems on-premises and expect tight security. With a significant number of security threats and breaches in the news, organizations are concerned that they might be the next victim. These factors contribute to risk management concerns for protecting against unauthorized access to or exposure of sensitive data, ranging from personally identifiable information (PII) to corporate confidential information, trade secrets, or intellectual property.

Regulations and compliance: There is a growing set of regulations, including the California Consumer Privacy Act (CCPA), the European Union’s General Data Protection Regulation (GDPR), and industry-specific standards such as global Legal Entity Identifier (LEI) numbers in the financial industry and ACORD data standards in the insurance industry. Compliance teams responsible for adhering to these regulations and standards may have concerns about oversight and control of data stored in the cloud.

Visibility and control: Data management professionals and data consumers sometimes lack visibility into their own data landscape: which data assets are available, where those assets are located and how and if they can be used, and who has access to the data and whether they should have access to it. This uncertainty limits their ability to further leverage their own data to improve productivity or drive business value.

These risk factors clearly highlight the need for increased data assessment, cataloging of metadata, access control management, data quality, and information security as core data governance competencies that the cloud provider should not only provide but also continuously upgrade in a transparent way. In essence, addressing these risks without abandoning the benefits provided by cloud computing has elevated the importance of not only understanding data governance in the cloud, but also knowing what is important. Good data governance can inspire customer trust and lead to vast improvements in customer experience.

Who Is This Book For?

The current growth in data is unprecedented and, when coupled with increased regulations and fines, has meant that organizations are forced to look into their data governance plans to make sure that they do not become the next statistic. Therefore, every organization will need to establish an understanding of the data it collects, the liability and regulation associated with that data, and who has access to it. This book is for you if you want to know what that entails, the risks to be aware of, and the considerations to keep in mind.

This book is for anyone who needs to implement the processes or technology that enables data to become trustworthy. This book covers the ways that people, processes, and technology can work together to enable auditable compliance with defined and agreed-upon data policies.

The benefits of data governance are multifaceted, ranging from legal and regulatory compliance to better risk management and the ability to drive top-line revenue and cost savings by creating new products and services. Read this book to learn how to establish control and maintain visibility into your data assets, which will provide you with a competitive advantage over your peers.

Editorial Reviews

About the Author

Evren Eryurek, PhD, is the leader of Data Analytics and Data Management portfolio of Google Cloud covering Streaming Analytics, Dataflow, Beam, Messaging (Pub/Sub & Confluent Kafka), Data Governance, Data Catalog & Discovery and Data Marketplace as the Director of Product Management.

He joined Google Cloud as the Technical Director in the CTO Office of Google Cloud leading Google Cloud and its efforts towards Industrial Enterprise Solutions. Google Cloud business established the CTO Office and is still building a team of the world’s foremost experts on cloud computing, analytics, AI and machine learning to work with global companies as trusted advisors and partners. Evren joined Google as the 1st external member to take a leadership role as a Technical Director within the CTO Office of Google Cloud.

Prior to joining Google, he was the SVP & Software Chief Technology Officer for GE Healthcare, near $20 billion segment of GE. GE Healthcare is a global leader in delivering healthcare clinical, business, and operational solutions with its medical equipment, information technologies, life sciences and service technologies covering settings from physician offices to integrated delivery networks.

Evren began his GE career at GE Transportation, where he served as General Manager of the Software and Solutions business. Evren was with Emerson Process Management group for over 11 years, where he held several leadership positions and was responsible for developing new software-based growth technologies for process control systems and field devices, coordinating cross-divisional product execution and implementation.

A graduate of the University of Tennessee, Evren holds a master’s and doctorate degree in Nuclear Engineering. Evren holds over 60 US patents.

Uri Gilad is leading Data Governance efforts, for the Data Analytics within Google Cloud. As part of his role, Uri is spearheading a cross-functional effort to create the relevant controls, management tools and policy workflows that enable a GCP customer to apply Data Governance policies in a unified fashion wherever your data may be in your GCP deployment.

Prior to Google, Uri served as an executive in multiple Data Security companies: most recently as the VP of product in MobileIron, a public Zero Trust/Endpoint security platform. Uri was an early employee and a manager in CheckPoint and Forescout - two well known Security brands. Uri holds an M.sc from Tel Aviv University and a B.sc from the Technion, Israel’s Institute of Technology.

Valliappa (Lak) Lakshmanan is a Tech Lead for Big Data and Machine Learning Professional Services on Google Cloud Platform. His mission is to democratize machine learning so that it can be done by anyone anywhere using Google's amazing infrastructure (i.e., without deep knowledge of statistics or programming or ownership of lots of hardware).

Anita Kibunguchy is a Product Marketing Manager for Google Cloud, specifically focusing on BigQuery, Google's data warehousing solution. She also led thought-leadership marketing content for Data Security & Governance at Google Cloud. Before Google, she worked for VMware where she managed awareness and go-to market programs for VMware's core Hyper-Converged Infrastructure (HCI) product vSAN.

She has an MBA from MIT Sloan School of Management and is passionate about helping customers use technology to transform their businesses.

Jessi Ashdown is a User Experience Researcher for Google Cloud specifically focused on Data Governance. She conducts user studies with Google Cloud customers from all over the world and uses the findings and feedback from these studies to help inform and shape Google's Data Governance products to best serve the users' needs.

Prior to joining Google Jessi led the Enterprise User Experience Research team at T-Mobile focused on bringing best in class user experiences to T-Mobile retail and customer care employees.

A graduate of both the University of Washington and Iowa State University, Jessi holds a bachelor's in Psychology and a master's in Human Computer Interaction.

Product details

  • Publisher ‏ : ‎ O'Reilly Media
  • Publication date ‏ : ‎ April 13, 2021
  • Edition ‏ : ‎ 1st
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 251 pages
  • ISBN-10 ‏ : ‎ 1492063495
  • ISBN-13 ‏ : ‎ 978-1492063490
  • Item Weight ‏ : ‎ 2.31 pounds
  • Dimensions ‏ : ‎ 7.25 x 0.5 x 9.5 inches
  • Best Sellers Rank: #615,494 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.4 out of 5 stars (104)

About the authors

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