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- Video: Course Introduction - ETL and Data Pipelines (5:29)
- General Information
- Learning Objectives and Syllabus
- Grading Scheme
Building ETL and Data Pipelines with Bash, Airflow and Kafka
Quick Facts
| particular | details | ||||
|---|---|---|---|---|---|
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Medium of instructions
English
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Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Learning efforts
2-4 Hours Per Week
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Course and certificate fees
Type of course
Free
certificate availability
Yes
certificate providing authority
IBM
certificate fees
₹8,312
The syllabus
Describe and differentiate between Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes.
Define data pipeline components, processes, tools, and technologies.
- Module Introduction & Learning Objectives
- Video: ETL Fundamentals (5:24)
- Video: ELT Basics (4:12)
- Video: Comparing ETL to ELT (4:27)
- Video: Data Extraction Techniques (4:27)
- Video: Introduction to Data Transformation Techniques (4:26)
- Video: Data Loading Techniques (4:31)
- Interactivity: Tell the Difference between ETL and ELT
- Summary & Highlights
- Practice Quiz: ETL and ELT Processes
- Graded Quiz: ETL and ELT Processes
Create batch ETL processes using Apache Airflow and streaming data pipelines using Apache Kafka.
- Module Introduction & Learning Objectives
- Reading: Linux Commands and Shell Scripting
- Reading: ETL Techniques
- Video: ETL using Shell Scripting (5:02)
- Hands-On Lab: ETL using Shell Scripts
- Summary & Highlights
- Practice Quiz: ETL using Shell Scripts
- Graded Quiz: ETL using Shell Scripts
- Video: Introduction to Data Pipelines (4:32)
- Video: Key Data Pipeline Processes (4:37)
- Video: Batch Versus Streaming Data Pipeline Use Cases (4:33)
- Video: Data Pipeline Tools and Technologies (6:55)
- Interactivity: Differentiate between Batch Processing and Stream Processing
- Summary & Highlights
- Practice Quiz: An Introduction to Data Pipelines
- Graded Quiz: An Introduction to Data Pipelines
Demonstrate understanding of how shell-scripting is used to implement an ETL pipeline.
- Module Introduction & Learning Objectives
- Video: Apache Airflow Overview (6:24)
- Video: Advantages of Using Data Pipelines as DAGs in Apache Airflow (6:49)
- Video: Apache Airflow UI (3:43)
- Hands-on Lab: Getting Started with Apache Airflow
- Video: Build DAG Using Airflow (4:27)
- Hands-on Lab: Create a DAG for Apache Airflow
- Video: Airflow Monitoring and Logging (4:12)
- Hands-on Lab: Monitoring a DAG
- Summary & Highlights
- Practice Quiz: Using Apache Airflow to Build Data Pipelines
- Graded Quiz: Using Apache Airflow to Build Data Pipelines
Instructors
Mr Rav Ahuja
Global Program Director
IBM
B.E /B.Tech, MBA
Mr Yan Luo
Data Scientist
IBM
Ph.D
Mr Jeff Grossman
Instructor
IBM
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