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    • Building ETL and Data Pipelines with Bash Airflow and Kafka

    Building ETL and Data Pipelines with Bash, Airflow and Kafka

    BY
    IBM via Edx

    Brochure Enquire
    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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