Handbook Of Data Reliability Engineering (Paperback)

Rajdeep Mandal

ISBN 10: 9356218633 / ISBN 13: 9789356218635

Published by WissenPress, 2024

About this Item

Paperback. The SRE principles pioneered by Google have proven effective in managing web and mobile applications over time. Drawing from this, Data Reliability Engineering (DRE) applies a similar ethos to data workloads. DRE prioritizes post-production observability methods, emphasizing observability, monitoring, performance, efficiency, and cost optimization. This book thoroughly explores the DRE framework, ensuring dependable data solutions. However, attaining the data reliability "North Star," minimizing data downtime, and meeting quality metrics like accuracy, freshness, and latency, is pivotal. The challenge lies in enhancing observability within intricate data solutions where numerous pipelines operate incessantly, while adhering to Google's SRE principles. This book provides comprehensive guidance from three angles: People, Process, and Technology. Unlike many SRE publications focusing solely on technology, it stresses the importance of aligning people and processes with the technical vision. In absence of this alignment, theory prevails over practicality. Fundamentally, this book dives into end-to-end Data Reliability Engineering strategies. Considering it potentially the first of its kind, it serves as a foundational resource for crafting strategies and roadmaps towards establishing data reliability. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9789356218635

Bibliographic Details

• Title: Handbook Of Data Reliability Engineering (Paperback)
• Publisher: WissenPress
• Publication Date: 2024
• Language: English
• ISBN 10: 9356218633
• ISBN 13: 9789356218635
• Binding: Paperback
• Condition: new

About this title

Synopsis

The SRE principles pioneered by Google have proven effective in managing web and mobile applications over time. Drawing from this, Data Reliability Engineering (DRE) applies a similar ethos to data workloads. DRE prioritizes post-production observability methods, emphasizing observability, monitoring, performance, efficiency, and cost optimization. This book thoroughly explores the DRE framework, ensuring dependable data solutions. However, attaining the data reliability "North Star," minimizing data downtime, and meeting quality metrics like accuracy, freshness, and latency, is pivotal. The challenge lies in enhancing observability within intricate data solutions where numerous pipelines operate incessantly, while adhering to Google's SRE principles. This book provides comprehensive guidance from three angles: People, Process, and Technology. Unlike many SRE publications focusing solely on technology, it stresses the importance of aligning people and processes with the technical vision. In absence of this alignment, theory prevails over practicality. Fundamentally, this book dives into end-to-end Data Reliability Engineering strategies. Considering it potentially the first of its kind, it serves as a foundational resource for crafting strategies and roadmaps towards establishing data reliability.

About the Author

Rajdeep Mandal, an alumnus of the Indian Institute of Information Technology, Calcutta, boasts a Bachelor of Engineering. With over 15 years of extensive expertise in research, consulting, and deploying data science and business intelligence solutions, he navigates the complexities of large-scale organizational matrices adeptly. Outside his professional sphere, Rajdeep finds joy in driving, cherishing moments with family and close friends, and tackling intriguing data challenges with a smile. A fitness aficionado, he frequents the scenic lakeside paths of Bangalore for rejuvenating jogs alongside his beloved pet, an English Cocker Spaniel named Pantua. Rajdeep and his wife, Satarupa, presently call Bangalore home, where Satarupa, formerly an Assistant General Manager in the Learning and Development division of a prominent MNC specializing in accounting, is on a career hiatus.