Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness
Eryurek, Evren, Gilad, Uri, Lakshmanan, Valliappa
- 出版商: O'Reilly
- 出版日期: 2021-04-13
- 定價: $2,700
- 售價: 9.5 折 $2,565
- 貴賓價: 9.0 折 $2,430
- 語言: 英文
- 頁數: 254
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1492063495
- ISBN-13: 9781492063490
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相關分類:
資料庫
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相關翻譯:
資料治理技術手冊 (Data Governance: The Definitive Guide) (繁中版)
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相關主題
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)
隨著您將數據遷移到雲端,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。數據治理包括人、流程和技術的協同作用,以確保數據可信且能夠有效使用。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、數據和安全官及其團隊將學習戰略和工具,以支持數據的民主化和價值的開發,同時強制執行安全、隱私和其他治理標準。通過良好的數據治理,您可以激發客戶的信任,使組織能夠識別業務效率,提供更具競爭力的產品,並改善客戶體驗。本書將向您展示如何實現這一目標。
您將學到以下內容:
- 圍繞人、流程和工具的數據治理策略
- 雲端數據治理方法的益處和挑戰
- 從數據輸入到準備和使用的數據治理流程
- 如何處理數據質量的持續改進
- 管理流式數據的挑戰和技巧
- 身份驗證、安全、備份和監控的數據保護
- 如何在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、數據目錄和發現以及數據市場,擔任產品管理總監。
他加入Google Cloud時擔任Google Cloud CTO辦公室的技術總監,領導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CTO辦公室,並正在建立一支由全球頂尖的雲計算、分析、人工智能和機器學習專家組成的團隊,作為全球公司的可信顧問和合作夥伴。Evren作為Google的第一位外部成員加入Google Cloud CTO辦公室擔任技術總監職位。
在加入Google之前,他是GE Healthcare的高級副總裁兼軟件首席技術官,GE Healthcare是GE的價值接近200億美元的部門。GE Healthcare是全球領先的提供醫療臨床、業務和運營解決方案的公司,涵蓋從醫生辦公室到綜合交付網絡的各種場景,提供醫療設備、信息技術、生命科學和服務技術。
Evren在GE的職業生涯始於GE Transportation,擔任軟件和解決方案業務的總經理。Evren在Emerson Process Management集團工作了11年多,擔任多個領導職位,負責開發基於軟件的過程控制系統和現場設備的新技術,協調跨部門產品執行和實施。
Evren畢業於田納西大學,擁有核工程碩士和博士學位。Evren擁有60多項美國專利。
Uri Gilad正在領導Google Cloud數據分析中的數據治理工作。作為他的職責的一部分,Uri正在帶領跨職能團隊努力創建相關的控制、管理工具和政策工作流程,使GCP客戶能夠統一應用數據治理政策,無論數據在GCP部署中的任何位置。
在加入Google之前,Uri曾在多家數據安全公司擔任高管職位,最近在MobileIron擔任產品副總裁,該公司是一家公共的零信任/端點安全平台。Uri曾是CheckPoint和Forescout兩個知名安全品牌的早期員工和經理。Uri擁有以色列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平台上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,使任何人都可以在任何地方使用Google驚人的基礎設施進行機器學習(即使沒有深入的統計學或編程知識,也不需要擁有大量硬件)。
Anita Kibunguchy是Google Cloud的產品營銷經理,專注於BigQuery,即Google的數據倉儲解決方案。她還負責領導Google Cloud的數據安全和治理方面的思想領導營銷內容。在加入Google之前,她在VMware工作,負責管理VMware核心超融合基礎設施(HCI)產品vSAN的宣傳和市場推廣計劃。
她擁有麻省理工學院斯隆管理學院的MBA學位,熱衷於幫助客戶利用技術改變他們的業務。
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,並利用這些研究的結果和反饋來幫助塑造和完善Google的數據治理產品,以最好地滿足用戶的需求。
在加入Google之前,Jessi在T-Mobile領導企業用戶體驗研究團隊,專注於引入企業用戶體驗研究團隊。