Understanding Apache Flink
Apache Flink is a new forth generation Big Data processing tool that is changing the landscape of data processing technologies. This course teaches basic skills that you need to have to develop applications using Apache Flink.
What you'll learn
Year after year the world is generating more and more data, and to process it we need better and more sophisticated tools. Apache Flink is a new, next generation Big Data processing tool that is capable of complex stream and batch data processing. In this course, Understanding Apache Flink, you'll learn how to write simple and complex data processing applications using Apache Flink. First, you'll cover an overview how Apache Flink works under the hood, and what it brings to the world of Big Data. Next, you'll learn the ins and outs of how to process data utilizing Apache Flink. Finally, you'll explore how to apply Apache Flink in practice. When you're finished with this course, you'll have a solid understanding of how to write applications in Apache Flink, and will have a good foundation to learn more advanced Apache Flink features.
Table of contents
- Introduction 2m
- Overview of Batch Operations 6m
- Downloading Data 2m
- Filtering Movies 2m
- Demo: Filtering Movies 6m
- Complex Operators 1m
- Join Operator 2m
- Group by Operator 1m
- Ratings Distribution 1m
- Demo: Ratings Distribution 4m
- Optimizing Flink Applications 1m
- Demo: Optimizing Flink Applications 1m
- Flink Internals 2m
- Find Top 10 Movies 2m
- Demo: Find Top 10 Movies 4m
- Running Application in Flink Cluster 4m
- Conclusions 1m
- Introduction 2m
- Stream Processing Overview 5m
- Data Processing Scenario 2m
- Filter Tweets in English 2m
- Demo: Filter Tweets in English 3m
- Windows 6m
- Handling Time 2m
- Number of Tweets in Each Language 1m
- Demo: Number of tweets in Each Language 3m
- Top Hashtag 1m
- Demo: Top Hashtag 3m
- State in Stream Processing Applications 3m
- Control Stream Application 2m
- Demo: Control Stream Application 4m
- Conclusions 1m
About the author
Ivan is a Principal Software Engineer and a Tech Lead who is passionate about Big Data and Cloud Computing. He has worked for numerous big IT companies including Samsung and Amazon Web Services. He is an Open Source enthusiast and has contributed to a number of projects including Gatling and Apache Flink. When he is not writing code or working on a new course, he is probably writing another technical article for his blog.