Building ETL and Data Pipelines with Bash, Airflow and Kafka

BY
IBM via Edx

Lavel

Beginner

Mode

Online

Duration

5 Weeks

Fees

Free

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based
Learning efforts 2-4 Hours Per Week

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.

  • Video: Course Introduction - ETL and Data Pipelines (5:29)
  • General Information
  • Learning Objectives and Syllabus
  • Grading Scheme

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

Mr Rav Ahuja
Global Program Director
IBM

B.E /B.Tech, MBA

Mr Yan Luo

Mr Yan Luo
Data Scientist
IBM

Ph.D

Mr Jeff Grossman
Instructor
IBM

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