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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 by Evren Eryurek
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Description

As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work together to support business efficiency. With this practical guide, chief information, data, and security officers will learn how to effectively implement and scale data governance throughout their organizations. You'll explore how to create a strategy and tooling to support the democratization of data and governance principles. Through good data governance, you can inspire customer trust, enable your organization to extract more value from data, and generate more-competitive offerings and improvements in customer experience. This book shows you how. Enable auditable legal and regulatory compliance with defined and agreed-upon data policies Employ better risk management Establish control and maintain visibility into your company's data assets, providing a competitive advantage Drive top-line revenue and cost savings when developing new products and services Implement your organization's people, processes, and tools to operationalize data trustworthiness

Author Biography

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.
Release date NZ
March 31st, 2021
Pages
300
Audience
  • Technical / Manuals
Country of Publication
United States
Imprint
O'Reilly Media, Inc, USA
Dimensions
165x220x25
ISBN-13
9781492063490
Product ID
33772142

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