Building ETL and Data Pipeline with Bash Airflow and kafka Training

Live Online & Classroom Enterprise Training

This course provides you with practical skills to build and manage data pipelines and Extract, Transform, Load (ETL) processes using shell scripts, Airflow and Kafka.

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What is Building ETL and Data Pipeline with Bash Airflow and kafka Training about?

This course is designed to provide you the critical knowledge and skills needed by Data Engineers and Data Warehousing specialists to create and manage ETL, ELT, and data pipeline processes.

What are the objectives of Building ETL and Data Pipeline with Bash Airflow and kafka Training ?

• Describe and differentiate between Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes.

• Define data pipeline components, processes, tools, and technologies.

• Create batch ETL processes using Apache Airflow and streaming data pipelines using Apache Kafka.

• Demonstrate understanding of how shell-scripting is used to implement an ETL pipeline.

Who is Building ETL and Data Pipeline with Bash Airflow and kafka Training for?

Anyone who is interested in Data Engineers and Data Warehousing specialists to create and manage ETL, ELT, and data pipeline processes.

What are the prerequisites for Building ETL and Data Pipeline with Bash Airflow and kafka Training?

Computer and IT literacy

Available Training Modes

Live Online Training

20 Hours

Self-Paced Training

9 Hours

Course Outline Expand All

Expand All

Module 1 - Data Processing Techniques

Module 2 - ETL & Data Pipelines: Tools and Techniques

Module 3 - Building Data Pipelines using Airflow.

Module 4 - Building Streaming Pipelines using Kafka.

Who is the instructor for this training?

The trainer for this Building ETL and Data Pipeline with Bash Airflow and kafka Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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