Udemy – Apache Kafka Series – Kafka Streams for Computing 2018-5 – Downloadly
Description
Apache Kafka Series – Kafka streams for data processing, etc. The name of a new volume from the Apache Kafka training series is included to learn the library and discuss data processing of Kafka streams. Kafka Streams, the most convenient way to write your program based on Kafka is:
- The most convenient way to move data via DSL high level
- Good support for Exactly Once semantics
- Expand and increase the capacity of Kafka Streams without clusters
- Play the rally, the merger and any operations you imagine with just a few lines of code
- Build a program based on Kafka fault tolerance, capacity, resilience and flexibility
Instructor in the course Stephane Maarek is one of the Kafka specialists and author of the courses in the Higher Education, Kafka category on Udemy, which includes more than 40,000 students with over 12,000 feedbacks. It is all the knowledge shared by Kafka himself and strives to explain all the concepts and the practical and theoretical dimensions for science students.
This course is based on Java 8 and also includes an example in Scala. Since Java based Kafka streams are right, no other language is like this.
Each section, either the theory or the practice:
- Partly practical: You write the program for Kafka streams yourself and it represents a challenge for you. Solution, perfectly explained, and you learn tips for optimal use of May Cry’s Kafka streams.
- The book partly contains theory about all available APIs and a number of interesting concepts such as: B. Exactly Once Semantics.
This course is the first and only course available that teaches Kafka streams in the Internet industry. This course prepares you to become a Kafka expert.
Course Overview, Apache Kafka Series – Kafka Streams for Data Processing:
- Kafka streams first look: Start Kafka and run the first program. Kafka streams themselves (word count)
- Program end-to-end Kafka streams: program code word count, writing A., the dependency of its contribution. Program your own, and it’s cooler to see and learn how you can increase your IT capacity. This is an example where the end-to-end solution is perfect.
- Simple operators for KStream and KTable: All operators are available today for KStream API and KTable
- Practical exercise – Favorite color: You train the skills you have newly learned in your Kafka writing program (favorite color) to master the challenge you want to take on. This includes a version of Scala.
- KStream and KTable extended operator: All operators, stateful, available for KStream API and KTable
- Theory – Exactly Once Semantics: Learn what Kafka 0.11 offers and how they become active in the Kafka streams.
- Exactly Once – Practice Task – Account Balance: New knowledge that you have learned with your writing program Kafka streams itself. Program Exactly Once to regularly calculate inventory levels for customers.
- Kafka Streams test program: Learn how to program WordCount with the Kafka Streams v1.1.0 test.
Don’t miss the most popular data processing library that learns Kafka. Kafka knowledge is essential, and this course will help you get started quickly using the Kafka Streams API. The market needs more people with new skills. The business is yours.
Course features:
- App Kafka Streams itself with Java 8 for writing.
- Increase the capacity of the Kafka Streams program
- Build and package the app
- Set Kafka streams to use semantics exactly once
- Planning with DSL high-level Kafka streams
- Write test for Kafka Streams Topology
Apache Kafka Series Profile – Kafka Streams for Computing 2020/12:
Language: English
Duration: 4h 50m
Number of courses: 76
Education level: intermediate
Teacher: Stephane Maarek
File format: mp4
Contents of this course in 2020/12:

Required courses:
Good knowledge of Apache Kafka
A current computer (Windows/Linux/Mac OS X) with 4 GB of RAM
Good knowledge of the Java 8 programming language
Images Period, Apache Kafka Series – Kafka Streams for Data Processing:
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installation Guide
After extracting, watch it with the player you like.
Subtitles: none
Quality: 1080p
Download link
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File size
6GB
