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I Heart Logs - by  Jay Kreps (Paperback) - 1 of 1

I Heart Logs - by Jay Kreps (Paperback)

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Highlights

  • Why a book about logs?
  • About the Author: Jay Kreps is a Principal Staff Engineer at LinkedIn where he is the lead architect for online data infrastructure.
  • 57 Pages
  • Computers + Internet,

Description



About the Book



"Why a book about logs? That's easy: the humble log is an abstraction that lies at the heart of many systems, from NoSQL databases to cryptocurrencies. Even though most engineers don't think much about them, this short book shows you why logs are worthy of your attention. Based on his popular blog posts, LinkedIn principal engineer Jay Kreps shows you how logs wotk in distributed systems, and then delivers practical applications of these concepts in a variety of common uses--data integration, enterprise architecture, real-time stream processing, data system design, and abstract computing models"--Page 4 of cover.



Book Synopsis



Why a book about logs? That's easy: the humble log is an abstraction that lies at the heart of many systems, from NoSQL databases to cryptocurrencies. Even though most engineers don't think much about them, this short book shows you why logs are worthy of your attention.

Based on his popular blog posts, LinkedIn principal engineer Jay Kreps shows you how logs work in distributed systems, and then delivers practical applications of these concepts in a variety of common uses--data integration, enterprise architecture, real-time stream processing, data system design, and abstract computing models.

Go ahead and take the plunge with logs; you're going love them.

  • Learn how logs are used for programmatic access in databases and distributed systems
  • Discover solutions to the huge data integration problem when more data of more varieties meet more systems
  • Understand why logs are at the heart of real-time stream processing
  • Learn the role of a log in the internals of online data systems
  • Explore how Jay Kreps applies these ideas to his own work on data infrastructure systems at LinkedIn



About the Author



Jay Kreps is a Principal Staff Engineer at LinkedIn where he is the lead architect for online data infrastructure. He is among the original authors of several open source projects including a distributed key-value store called Project Voldemort, a messaging system called Kafka, and a stream processing system called Samza. Twitter: @jaykreps

Dimensions (Overall): 9.19 Inches (H) x 7.0 Inches (W) x .12 Inches (D)
Weight: .25 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 57
Genre: Computers + Internet
Publisher: O'Reilly Media
Format: Paperback
Author: Jay Kreps
Language: English
Street Date: November 11, 2014
TCIN: 1002950806
UPC: 9781491909386
Item Number (DPCI): 247-14-4984
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.12 inches length x 7 inches width x 9.19 inches height
Estimated ship weight: 0.25 pounds
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Q: Who is the author of this book?

submitted by AI Shopping Assistant - 8 days ago
  • A: The author is Jay Kreps, a Principal Staff Engineer at LinkedIn.

    submitted byAI Shopping Assistant - 8 days ago
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Q: What is the main focus of the book?

submitted by AI Shopping Assistant - 8 days ago
  • A: The book focuses on the importance of logs in various systems, including NoSQL databases and cryptocurrencies.

    submitted byAI Shopping Assistant - 8 days ago
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Q: What is the suggested age for readers of this book?

submitted by AI Shopping Assistant - 8 days ago
  • A: The suggested age for readers is 22 years and up.

    submitted byAI Shopping Assistant - 8 days ago
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Q: What genre does this book belong to?

submitted by AI Shopping Assistant - 8 days ago
  • A: The book belongs to the genre of Computers and Internet.

    submitted byAI Shopping Assistant - 8 days ago
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Q: What practical applications does the book cover?

submitted by AI Shopping Assistant - 8 days ago
  • A: It covers data integration, enterprise architecture, real-time stream processing, and data system design.

    submitted byAI Shopping Assistant - 8 days ago
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