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This two-day hands-on training course provides a comprehensive introduction to StreamSets Data Collector.Participants will learn how to create complex pipelines that ingest data from a variety of sources, manipulate that data,and then export it to destinations including Apache Kafka, relational database management systems, and Apache Hadoop. Throughout the course, hands-on exercises reinforce the concepts being discussed.
The course is designed for those who will be designing, building, and running data flow pipelines, including data engineers, data developers, data analysts, data scientists, ETL developers, and data architects. No prior knowledge of StreamSets Data Collector is required.
Students preferably should have a general knowledge of operating systems, networking, programming concepts, and databases.
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The course is well structure. Timing is also right. The trainer Mr Raj is professional. And he asnwer all my question and doubts.
The course is one of the two in the track of Agile Professional Coach. It is designed to provide both wide and deep knowledge to become a competent Coach with the addirional skills of a Trainer and a Mentor. The two trainers, Preeth Panday and Naveen K Singh, are excellent Facilitators and Coaches with patience and promptness. Their mastery in this area stands out while their mode of delivery captures the interest of the trainees. They demonstrated professionalism with a personal touch.
DataOps Platform Overview
StreamSets DataOps Architecture and Use Cases
An Introduction to StreamSets Data Collector
Getting Started with Data Collector
The SDC User Interface
Running the Pipeline
Pipeline Events, Rules, and Alerts
Generating and Handling Events
Reading, Writing and Transforming Data
Relational Databases: MySQL, Oracle, and Change Data Capture
Messaging Broker Systems: Kafka
Event Based: APIs
Distributed Storage: HDFS
Lookups: Relational Databases
Administration and Monitoring
Monitoring your SDC instances
Data Collector Security
Securing your Data Collector
Troubleshooting and Tuning your extremists environment
Working with Support
Handling Data Drift
Data Drift Rules