Flink
A real time and hands-on course on Flink
Classes : 20 Days : 2 months Duration : Weekdays / Weekends
Apache Flink is an open source platform for scalable stream and batch data processing.
It offers expressive APIs to define batch and streaming data flow programs and a robust and scalable engine to execute these jobs.
Goals and Scope of this Training
This training presents an opinionated introduction to Apache Flink, including just enough to get you started writing scalable streaming ETL, analytics, and event-driven applications, while leaving out a lot of (ultimately important) details. The focus is on providing straightforward introductions to Flink`s APIs for managing state and time, with the expectation that having mastered these fundamentals, you`ll be much better equipped to pick up the rest of what you need to know from the documentation.
Specifically, you will learn:
how to set up an environment to develop Flink programs
how to implement streaming data processing pipelines
how and why Flink manages state
how to use event time to consistently compute accurate analytics
how to build event-driven applications on continuous streams
how Flink is able to provide fault-tolerant, stateful stream processing with exactly-once semantics
It offers expressive APIs to define batch and streaming data flow programs and a robust and scalable engine to execute these jobs.
Goals and Scope of this Training
This training presents an opinionated introduction to Apache Flink, including just enough to get you started writing scalable streaming ETL, analytics, and event-driven applications, while leaving out a lot of (ultimately important) details. The focus is on providing straightforward introductions to Flink`s APIs for managing state and time, with the expectation that having mastered these fundamentals, you`ll be much better equipped to pick up the rest of what you need to know from the documentation.
Specifically, you will learn:
how to set up an environment to develop Flink programs
how to implement streaming data processing pipelines
how and why Flink manages state
how to use event time to consistently compute accurate analytics
how to build event-driven applications on continuous streams
how Flink is able to provide fault-tolerant, stateful stream processing with exactly-once semantics
- You are willing to learn.
- Professionals entering into Big Data Hadoop program should have a basic understanding of Core programming and SQL.
- You are familiar with Hadoop Batch concepts.
- Professionals entering into Big Data Hadoop program should have a basic understanding of Core programming and SQL.
- You are familiar with Hadoop Batch concepts.
-Batch vs Real-time Processing
-Introduction
-Architecture
-System Requirements
-Setup/Installation
-API Concepts
-Table API and SQL
-Creating a Flink Application
-Running a Flink Program
-Libraries
-Machine Learning
-Use Cases
-Flink vs Spark vs Hadoop
-Conclusion
-Introduction
-Architecture
-System Requirements
-Setup/Installation
-API Concepts
-Table API and SQL
-Creating a Flink Application
-Running a Flink Program
-Libraries
-Machine Learning
-Use Cases
-Flink vs Spark vs Hadoop
-Conclusion
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Student Reviews
Bhawana
Fabulous NLP + ML course
I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.
Harish
Excellent ML course!
The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.