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I Heart Logs Event Data Stream Processing and Data Integration 1st Edition by Jay Kreps ISBN 1491909382 9781491909386

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I Heart Logs Event Data Stream Processing and Data Integration 1st Edition Jay Kreps Digital Instant Download

Author(s): Jay Kreps
ISBN(s): 9781491909386, 1491909382
Edition: 1
File Details: PDF, 3.06 MB
Year: 2014
Language: english
SKU: EB-5067838 Category: Tag:

I Heart Logs Event Data Stream Processing and Data Integration 1st Edition by Jay Kreps – Ebook PDF Instant Download/Delivery: 1491909382 9781491909386
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Product details:

ISBN 10: 1491909382 
ISBN 13: 9781491909386
Author: Jay Kreps

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

I Heart Logs Event Data Stream Processing and Data Integration 1st Table of contents:

Chapter 1. Introduction
What Is a Log?
Logs in Databases
Logs in Distributed Systems
Variety of Log-Centric Designs
An Example
Logs and Consensus
Changelog 101: Tables and Events Are Dual
What’s Next
Chapter 2. Data Integration
Data Integration: Two Complications
Data is More Diverse
The Explosion of Specialized Data Systems
Log-Structured Data Flow
My Experience at LinkedIn
Relationship to ETL and the Data Warehouse
ETL and Organizational Scalability
Where Should We Put the Data Transformations?
Decoupling Systems
Scaling a Log
Chapter 3. Logs and Real-Time Stream Processing
Data Flow Graphs
Logs and Stream Processing
Reprocessing Data: The Lambda Architecture and an Alternative
What is a Lambda Architecture and How Do I Become One?
What’s Good About This?
And the Bad…
An Alternative
Stateful Real-Time Processing
Log Compaction
Chapter 4. Building Data Systems with Logs
Unbundling?
The Place of the Log in System Architecture
Conclusion
Appendix A. References
Academic Papers, Systems, Talks, and Blogs
Enterprise Software

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Tags: Jay Kreps, Logs, Data Stream, Data Integration