Objectives
The course will equip the participants with essential knowledge and skills to architect systems that processes real time stream data. The course will discuss reference real time systems for data intensive systems that include processing pipelines, ingestion patterns specific to stream data, asynchronous message design for moving data, evaluation, processing, analysis and cataloguing of various data streams, persistence strategies, security, messaging architecture and event processing architecture.
Who Should Attend
The target course participants are primarily software engineers, data engineers, team leads, and architects with seek to enhance their skills in the area of information architecture and design of data warehouse and data lake.
Entry Requirements
Participants are required to have completed the Big Data Engineering for Analytics course prior to attending this course.If participants have not completed the Big Data Engineering for Analytics course with NUS-ISS, they are required to produce experience or skills certification that benchmarks similar learning such as Cloudera Spark Developer Certificate.
Last updated: 12 April 2024
