21 hours (usually 3 days including breaks)
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 set up 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:
Format of the Course
Overview Frameworks and Programming Languages
Comparison of Features and Strengths of Each Framework
Overview of Data Sources
Setting up the Development Environment
Installing and Configuring
Assessing Your Data Analysis Needs
Integrating the Streaming Framework with Big Data Tools
Transforming the Input Data
Inspecting the Output Data
Integrating the Stream Processing Framework with Existing Applications and Microservices
Summary and Conclusion
The lab exercises. Applying the theory from the first day in subsequent days.
We are looking to expand our presence in Ireland!
If you are interested in running a high-tech, high-quality training and consulting business.Apply now!