A Practical Introduction to Stream Processing Training Course

Stream Processing refers to the real-time processing of "data in motion", that is, performing computations on data as it is being received. Such data is read as continuous streams from data sources such as sensor events, website user activity, financial trades, credit card swipes, click streams, etc. Stream Processing frameworks are able to read large volumes of incoming data and provide valuable insights almost instantaneously.
In this instructor-led, live training (onsite or remote), participants will learn how to setup and integrate different Stream Processing frameworks with existing big data storage systems and related software applications and microservices.
By the end of this training, participants will be able to:
Install and configure different Stream Processing frameworks, such as Spark Streaming and Kafka Streaming
Understand and select the most appropriate framework for the job
Process of data continuously, concurrently, and in a record-by-record fashion
Integrate Stream Processing solutions with existing databases, data warehouses, data lakes, etc.
Integrating the most appropriate stream processing library with enterprise applications and microservices
Audience
Developers
Software architects
Format of the Course
Part lecture, part discussion, exercises and heavy hands-on practice
Notes
To request a customized training for this course, please contact us to arrange.