Autoplay
Autocomplete
Previous Lesson
Complete and Continue
Learn by Example: Apache Flink
Introduction
You, This Course and Us
Flink's Stream Processing Architecture
What is stream processing?
Stream processing vs Batch processing
Requirements of a Streaming Architecture
Stream processing with Apache Flink
Getting Started with Flink
Installing Flink
Setting up your Flink project with Maven
Hello World!
Data Representation and Programming Model
Example 1: Writing a Flink program
Transformations using the DataStream API
Example 2: The Filter operation
Example 3: The Map operation
Example 4: The FlatMap operation
Stateless and Stateful Transformations
Keyed Streams
Example 5: Creating a Stream with Tuples
Example 6: Transformations on Keyed Streams
Example 7: Number Aggregations
Example 8: The Reduce operation
Window operations
Window Transformations
Example 9 and 10: Keyed vs NonKeyed, Sliding and Tumbling Windows
Example 11: Count Windows
Example 12: Session Windows
Understanding the Window API
Example 13: Implementing a Custom Window Function
Example 14: Changing the time characteristic
Example 15: Twitter Streaming Window
Custom Sources
Example 16: Custom Sources
State and Checkpointing
Example 17: Value State
Example 18: List State
Example 19: Reducing State
Example 20: Checkpointing and Restart strategies
Operations on Multiple Streams
Example 21: Unions
Example 22: Joining Streams
Example 23: coGroup
Example 24: coMap
Example 25: Iterate
Example 26: Split
Transformations in the DataSet API
Example 27: Applying Transformations on DataSets
Graph representation with Gelly
Example 28: Representing Graph data
Machine Learning with Flink ML
Example 29: Scala Hello World
Example 30: Recommendations with Alternating Least Squares
Example 18: List State
Lesson content locked
If you're already enrolled,
you'll need to login
.
Enroll in Course to Unlock