The Self-Service Data Roadmap
Language: English
Published by O'Reilly Media, US, 2020
- Softcover
- New
Seller: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
AbeBooks seller since June 10, 2025
Condition: New
£ 38.12
Quantity: Over 20 available
Add to basketItem description from seller
Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can't scale data science teams fast enough to keep up with the growing amounts of data to transform. What's the answer? Self-service data.With this practical book, data engineers, data scientists, and team managers will learn how to build a self-service data science platform that helps anyone in your organization extract insights from data. Sandeep Uttamchandani provides a scorecard to track and address bottlenecks that slow down time to insight across data discovery, transformation, processing, and production. This book bridges the gap between data scientists bottlenecked by engineering realities and data engineers unclear about ways to make self-service workBuild a self-service portal to support data discovery, quality, lineage, and governanceSelect the best approach for each self-service capability using open source cloud technologiesTailor self-service for the people, processes, and technology maturity of your data platformImplement capabilities to democratize data and reduce time to insightScale your self-service portal to support a large number of users within your organization.…
Seller Inventory # LU-9781492075257
- Title
- The Self-Service Data Roadmap
- Author
- Sandeep Uttamchandani
- Publisher
- O'Reilly Media, US
- Publication year
- 2020
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1492075256
- ISBN 13
- 9781492075257
Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can't scale data science teams fast enough to keep up with the growing amounts of data to transform. What's the answer? Self-service data.
With this practical book, data engineers, data scientists, and team managers will learn how to build a self-service data science platform that helps anyone in your organization extract insights from data. Sandeep Uttamchandani provides a scorecard to track and address bottlenecks that slow down time to insight across data discovery, transformation, processing, and production. This book bridges the gap between data scientists bottlenecked by engineering realities and data engineers unclear about ways to make self-service work.
- Build a self-service portal to support data discovery, quality, lineage, and governance
- Select the best approach for each self-service capability using open source cloud technologies
- Tailor self-service for the people, processes, and technology maturity of your data platform
- Implement capabilities to democratize data and reduce time to insight
- Scale your self-service portal to support a large number of users within your organization
"Synopsis" may belong to another edition of this title.
About the Author
Sandeep holds more than 40 issued patents, has 25+ publications in key technical conferences, and has received several product innovation and management excellence awards. He is a regular speaker in data conferences and a guest lecturer at universities. He advises startups and has served as a program/steering committee member for several conferences, including serving as Co-chair of Gartner's SF CDO Executive Summit, and Usenix Operational ML (OpML) conference. Sandeep holds a Ph.D and a Master's in Computer Science from the University of Illinois at Urbana-Champaign.
"About the title" may belong to another edition of this title.
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