Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Handbook Of Data Reliability Engineering: A Comprehensive Guide To Manage Reliability In Data Organizations

Handbook Of Data Reliability Engineering: A Comprehensive Guide To Manage Reliability In Data Organizations

Mandal, Rajdeep

Paperback

General ComputersGeneral EducationSelf-Help

ISBN10: 9356218633
ISBN13: 9789356218635
Publisher: Orangebooks Publication
Published: Jun 13 2024
Pages: 68
Weight: 0.17
Height: 0.18 Width: 5.00 Depth: 8.00
Language: English

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.

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