Data governance with AWS: balancing data access and control by working backwards from your business initiatives
How can you ensure that your data is in optimal condition to support your specific business initiatives and operations? With this report from AWS, C-suite executives, including CDOs, CAOs, CISOs, and CSOs, will gain insights on how a targeted approach to data governance can enhance data curation, di...
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| Main Authors: | , , , |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Sebastopol, CA
O'Reilly Media, Inc.
2024
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| Edition: | First edition. |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781098157562/?ar |
| Summary: | How can you ensure that your data is in optimal condition to support your specific business initiatives and operations? With this report from AWS, C-suite executives, including CDOs, CAOs, CISOs, and CSOs, will gain insights on how a targeted approach to data governance can enhance data curation, discovery, protection, and sharing capabilities. Our goal is to empower you to curate your data at scale and share it--without compromising compliance and security measures. You'll understand the significance of data governance and how it fosters rapid innovation by optimizing your data resources. And you'll learn how protecting and securely sharing your data with control and clarity will help deliver better business intelligence insights. Data engineers, data architects, and data analysts will also get practical guidance on specific areas such as data integration and metadata cataloging. With this report, you'll explore: Why data governance is so challenging How working backward from business initiatives can help The three pillars of good data governance and the capabilities they require The technical support needed to deploy a good data governance strategy What AWS data governance tools are available, and how they might fit into your strategy About the authors: Ina Felsheim is senior technology leader at AWS with a relentless customer focus. Kevin Lewis is principal program manager for data analytics at AWS Professional Services. Jason Berkowitz is responsible for global data analytics at AWS Professional Services. Joseph D. Stec writes books and articles related to data, AI, and world history. |
| Item Description: | Includes bibliographical references |
| Physical Description: | 1 Online-Ressource (52 Seiten) |
Staff View
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| spelling | Lewis, Kevin VerfasserIn aut Data governance with AWS balancing data access and control by working backwards from your business initiatives Kevin Lewis, Jason Berkowitz & Ina Felsheim, with Joseph D. Stec First edition. Sebastopol, CA O'Reilly Media, Inc. 2024 1 Online-Ressource (52 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references How can you ensure that your data is in optimal condition to support your specific business initiatives and operations? With this report from AWS, C-suite executives, including CDOs, CAOs, CISOs, and CSOs, will gain insights on how a targeted approach to data governance can enhance data curation, discovery, protection, and sharing capabilities. Our goal is to empower you to curate your data at scale and share it--without compromising compliance and security measures. You'll understand the significance of data governance and how it fosters rapid innovation by optimizing your data resources. And you'll learn how protecting and securely sharing your data with control and clarity will help deliver better business intelligence insights. Data engineers, data architects, and data analysts will also get practical guidance on specific areas such as data integration and metadata cataloging. With this report, you'll explore: Why data governance is so challenging How working backward from business initiatives can help The three pillars of good data governance and the capabilities they require The technical support needed to deploy a good data governance strategy What AWS data governance tools are available, and how they might fit into your strategy About the authors: Ina Felsheim is senior technology leader at AWS with a relentless customer focus. Kevin Lewis is principal program manager for data analytics at AWS Professional Services. Jason Berkowitz is responsible for global data analytics at AWS Professional Services. Joseph D. Stec writes books and articles related to data, AI, and world history. Amazon Web Services (Firm) Data protection Cloud computing Big data Berkowitz, Jason VerfasserIn aut Felsheim, Ina VerfasserIn aut Stec, Joseph D. VerfasserIn aut |
| spellingShingle | Lewis, Kevin Berkowitz, Jason Felsheim, Ina Stec, Joseph D. Data governance with AWS balancing data access and control by working backwards from your business initiatives Amazon Web Services (Firm) Data protection Cloud computing Big data |
| title | Data governance with AWS balancing data access and control by working backwards from your business initiatives |
| title_auth | Data governance with AWS balancing data access and control by working backwards from your business initiatives |
| title_exact_search | Data governance with AWS balancing data access and control by working backwards from your business initiatives |
| title_full | Data governance with AWS balancing data access and control by working backwards from your business initiatives Kevin Lewis, Jason Berkowitz & Ina Felsheim, with Joseph D. Stec |
| title_fullStr | Data governance with AWS balancing data access and control by working backwards from your business initiatives Kevin Lewis, Jason Berkowitz & Ina Felsheim, with Joseph D. Stec |
| title_full_unstemmed | Data governance with AWS balancing data access and control by working backwards from your business initiatives Kevin Lewis, Jason Berkowitz & Ina Felsheim, with Joseph D. Stec |
| title_short | Data governance with AWS |
| title_sort | data governance with aws balancing data access and control by working backwards from your business initiatives |
| title_sub | balancing data access and control by working backwards from your business initiatives |
| topic | Amazon Web Services (Firm) Data protection Cloud computing Big data |
| topic_facet | Amazon Web Services (Firm) Data protection Cloud computing Big data |
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