A book tittle "I Heart Logs - Event Data, Stream Processing, and Data Integration" by Jay Kreps. It's very interesting. I'd like to know what I can learn from it, how logs work in distributed systems and learn from author who works at LinkedIn. A book! Not much for the number of pages. However, it gives much more for data flow idea, how logs work and author still shows readers why logs are worthy of reader's attention. In a book, that has only 4 chapters, but readers will get concept and idea about Data integration (Making all of an organization’s data easily available in all its storage and processing systems), Real-time data processing (Computing derived data streams) and Distributed system design (How practical systems can by simplified with a log-centric design). In addition, I like it. because author wrote from his experience at LinkedIn.
After reviewing: A book refers a lot of information(It's easy on ebook to click links) that's useful. Readers can use them and find out more on the Internet and use. For Data integration, It's focused to Kafka software that is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system. Additional, It gave why the Big Data Lambda Architecture is good for batch system and a stream processing system and point about things a log can do.
So, Readers will be able to learn:
- 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
Author: Jay Kreps