Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness
暫譯: 數據治理：權威指南：實現數據可信度的人民、流程與工具

Eryurek, Evren, Gilad, Uri, Lakshmanan, Valliappa

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

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商品描述

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

商品描述(中文翻譯)

隨著您將數據移至雲端，您需要考慮一個全面的數據治理方法，以及明確且經過協商的政策，以確保您的組織符合合規要求。數據治理涵蓋了人員、流程和技術如何協同工作，以確保數據是可信的並且可以有效使用。本實用指南將向您展示如何在整個組織中有效實施和擴展數據治理。

首席信息官、數據官和安全官及其團隊將學習支持數據民主化和釋放其價值的策略和工具，同時強化安全性、隱私和其他治理標準。透過良好的數據治理，您可以激發客戶信任，使您的組織能夠識別業務效率，產生更具競爭力的產品，並改善客戶體驗。本書將告訴您如何做到這一點。

您將學到：

- 涉及人員、流程和工具的數據治理策略
- 基於雲的數據治理方法的好處和挑戰
- 數據治理從數據攝取到準備和使用的過程
- 如何處理數據質量的持續改進
- 管理串流數據的挑戰和技術
- 用於身份驗證、安全性、備份和監控的數據保護
- 如何在您的組織中建立數據文化

作者簡介

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.

作者簡介(中文翻譯)

Evren Eryurek 博士是 Google Cloud 數據分析和數據管理產品組合的負責人，涵蓋流式分析、Dataflow、Beam、消息傳遞（Pub/Sub 和 Confluent Kafka）、數據治理、數據目錄與發現以及數據市場，擔任產品管理總監。

他以技術總監的身份加入 Google Cloud，負責 Google Cloud 及其在工業企業解決方案方面的努力。Google Cloud 業務成立了首席技術官辦公室，並仍在建立一支全球頂尖的雲計算、分析、人工智慧和機器學習專家團隊，作為全球公司的可信顧問和合作夥伴。Evren 是第一位外部成員，擔任 Google Cloud 首席技術官辦公室的技術總監。

在加入 Google 之前，他是 GE Healthcare 的高級副總裁及軟體首席技術官，該部門的年營收接近 200 億美元。GE Healthcare 是全球領先的醫療保健臨床、商業和運營解決方案提供者，提供的醫療設備、資訊技術、生命科學和服務技術涵蓋從醫生辦公室到綜合交付網絡的各種環境。

Evren 在 GE Transportation 開始了他的 GE 職業生涯，擔任軟體和解決方案業務的總經理。Evren 在 Emerson Process Management 集團工作了超過 11 年，擔任多個領導職位，負責為過程控制系統和現場設備開發新的基於軟體的增長技術，協調跨部門的產品執行和實施。

Evren 畢業於田納西大學，擁有核能工程的碩士和博士學位。他擁有超過 60 項美國專利。

Uri Gilad 負責 Google Cloud 數據分析中的數據治理工作。作為其角色的一部分，Uri 正在領導一項跨功能的努力，創建相關的控制、管理工具和政策工作流程，使 GCP 客戶能夠在其 GCP 部署中的任何地方以統一的方式應用數據治理政策。

在加入 Google 之前，Uri 曾在多家數據安全公司擔任高管：最近擔任 MobileIron 的產品副總裁，該公司是一個公開的零信任/端點安全平台。Uri 是 CheckPoint 和 Forescout 這兩個知名安全品牌的早期員工和經理。Uri 擁有特拉維夫大學的碩士學位和以色列理工學院的學士學位。

Valliappa (Lak) Lakshmanan 是 Google Cloud Platform 大數據和機器學習專業服務的技術負責人。他的使命是使機器學習民主化，讓任何人都能在任何地方使用 Google 的卓越基礎設施進行機器學習（即無需深入了解統計學或編程或擁有大量硬體）。

Anita Kibunguchy 是 Google Cloud 的產品行銷經理，專注於 BigQuery，Google 的數據倉儲解決方案。她還負責 Google Cloud 數據安全與治理的思想領導行銷內容。在加入 Google 之前，她曾在 VMware 工作，負責 VMware 核心超融合基礎設施（HCI）產品 vSAN 的認知和市場推廣計劃。

她擁有麻省理工學院斯隆管理學院的 MBA，並熱衷於幫助客戶利用技術轉型其業務。

Jessi Ashdown 是 Google Cloud 的用戶體驗研究員，專注於數據治理。她與來自世界各地的 Google Cloud 客戶進行用戶研究，並利用這些研究的發現和反饋來幫助改進和塑造 Google 的數據治理產品，以最佳滿足用戶需求。

在加入 Google 之前，Jessi 在 T-Mobile 領導企業用戶體驗研究團隊，專注於為 T-Mobile 的零售和客戶服務員工提供最佳的用戶體驗。

Jessi 畢業於華盛頓大學和愛荷華州立大學，擁有心理學學士學位和人機互動碩士學位。

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