- Main
- Computers - Databases
- Stream Processing with Apache Spark:...
Stream Processing with Apache Spark: Mastering Structured Streaming and Spark Streaming
Gerard Maas, Francois GarillotHow much do you like this book?
What’s the quality of the file?
Download the book for quality assessment
What’s the quality of the downloaded files?
Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Apache Spark will learn how to put this in-memory framework to use for streaming data. You’ll discover how Spark enables you to write streaming jobs in almost the same way you write batch jobs.
Authors Gerard Maas and François Garillot help you explore the theoretical underpinnings of Apache Spark. This comprehensive guide features two sections that compare and contrast the streaming APIs Spark now supports: the original Spark Streaming library and the newer Structured Streaming API.
• Learn fundamental stream processing concepts and examine different streaming architectures
• Explore Structured Streaming through practical examples; learn different aspects of stream processing in detail
• Create and operate streaming jobs and applications with Spark Streaming; integrate Spark Streaming with other Spark APIs
• Learn advanced Spark Streaming techniques, including approximation algorithms and machine learning algorithms
• Compare Apache Spark to other stream processing projects, including Apache Storm, Apache Flink, and Apache Kafka Streams
Authors Gerard Maas and François Garillot help you explore the theoretical underpinnings of Apache Spark. This comprehensive guide features two sections that compare and contrast the streaming APIs Spark now supports: the original Spark Streaming library and the newer Structured Streaming API.
• Learn fundamental stream processing concepts and examine different streaming architectures
• Explore Structured Streaming through practical examples; learn different aspects of stream processing in detail
• Create and operate streaming jobs and applications with Spark Streaming; integrate Spark Streaming with other Spark APIs
• Learn advanced Spark Streaming techniques, including approximation algorithms and machine learning algorithms
• Compare Apache Spark to other stream processing projects, including Apache Storm, Apache Flink, and Apache Kafka Streams
Categories:
Year:
2019
Edition:
1
Publisher:
O'Reilly Media
Language:
english
Pages:
452
ISBN 10:
1491944242
ISBN 13:
9781491944240
File:
PDF, 8.26 MB
Your tags:
IPFS:
CID , CID Blake2b
english, 2019
The file will be sent to your email address. It may take up to 1-5 minutes before you receive it.
The file will be sent to you via the Telegram messenger. It may take up to 1-5 minutes before you receive it.
Note: Make sure you have linked your account to Z-Library Telegram bot.
The file will be sent to your Kindle account. It may take up to 1–5 minutes before you receive it.
Please note: you need to verify every book you want to send to your Kindle. Check your mailbox for the verification email from Amazon Kindle.
Conversion to is in progress
Conversion to is failed
Premium benefits
- Send to eReaders
- Increased download limit
- File converter
- More search results
- More benefits