Use Apache Flink and its ecosystem to process real-time big data

About This Video

• Hands-on examples to help you build and administer a Flink ecosystem
• Gain insights into how all Apache Flink features—such as building your own Flink environment, importing data, and ultimately using it—work
• Exploit Apache Flink's capabilities (such as distributed data streaming and pipelining) to improve performance

In Detail

Have you heard of Apache Flink, but don't know how to use it to get on top of big data? Have you used Flink, but want to learn how to set it up and use it properly? Either way, this course is for you.

This course first introduces Flink concepts and terminology, and then moves on to building a Flink instance, collecting data, and using that data to generate output that can be used as processed data input into other systems. You will also use the Flink APIs to process data in batch and streaming modes.

By the end of the course, you will be capable of using the Apache Flink ecosystem to achieve complex tasks such as event processing and machine learning.

Audience

This course targets big data developers keen to process batch and real-time data on distributed systems. A basic knowledge of Hadoop and big data is assumed, and a reasonable knowledge of Java or Scala is expected.