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    Introduction to Data Engineering

    BY
    IBM via Coursera

    Brochure Enquire
    Lavel

    Beginner

    Mode

    Online

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based

    Course and certificate fees

    certificate availability

    Yes

    certificate providing authority

    Coursera

    The syllabus

    Module 1: What is Data Engineering?

    Videos
    • Welcome to Introduction to Data Engineering
    • Modern Data Ecosystem
    • Key Players  in the Data Ecosystem
    • What is Data Engineering?
    • Viewpoints: Defining Data Engineering
    • Viewpoints: Evolution of Data Engineering
    • Responsibilities and Skillsets of a Data Engineer
    • Viewpoints: Skills and Qualities to be a Data Engineer
    • A Day in the Life of a Data Engineer
    Readings
    • Summary and Highlights
    • Summary and Highlights
    Practice Exercises
    • Practice Quiz
    • Graded Quiz
    • Practice Quiz
    • Graded Quiz

    Module 2: The Data Engineering Ecosystem

    Videos
    • Overview of the Data Engineering Ecosystem
    • Types of Data
    • Understanding Different Types of File Formats 
    • Sources of Data
    • Languages for Data Professionals
    • Viewpoints: Working with Varied Data Sources and Types
    • Overview of Data Repositories
    • RDBMS
    • NoSQL
    • Data Warehouses, Data Marts, and Data Lakes
    • Viewpoints: Considerations for Choice of Data Repository
    • ETL, ELT, and Data Pipelines
    • Data Integration Platforms
    • Viewpoints: Tools, Databases, and Data Repositories of Choice
    • Foundations of Big Data
    • Big Data Processing Tools: Hadoop, HDFS, Hive, and Spark
    • Viewpoints: Impact of Big Data on Data Engineering
    Readings
    • Summary and Highlights
    • Summary and Highlights
    • Summary and Highlights
    Practice Exercises
    • Practice Quiz
    • Graded Quiz
    • Practice Quiz
    • Graded Quiz
    • Practice Quiz
    • Graded Quiz

    Module 3: Data Engineering Lifecycle

    Videos
    • Architecting the Data Platform
    • Factors for Selecting and Designing Data Stores
    • Security
    • Viewpoints: Importance of Data Security
    • How to Gather and Import Data
    • Data Wrangling
    • Tools for Data Wrangling
    • Querying and Analyzing Data
    • Performance Tuning and Troubleshooting
    • Governance and Compliance
    Readings
    • Summary and Highlights
    • Summary and Highlights
    • Summary and Highlights
    • Summary and Highlights
    • Optional: Overview of the DataOps Methodology
    Practice Exercises
    • Practice Quiz
    • Graded Quiz
    • Practice Quiz
    • Graded Quiz
    • Practice Quiz
    • Graded Quiz
    • Practice Quiz
    • Graded Quiz

    Module 4: Career Opportunities and Data Engineering in Action

    Videos
    • Career Opportunities in Data Engineering
    • Viewpoints: Get into Data Engineering
    • Data Engineering Learning Path
    • Viewpoints: What Do Employers Look for in a Data Engineer
    • Viewpoints: The Many Paths to Data Engineering
    • Viewpoints: Advice to Aspiring Data Engineers
    Readings
    • Summary and Highlights
    • Congratulations and Next Steps
    Practice Exercises
    • Practice Quiz
    • Graded Quiz
    • Final Quiz

    Instructors

    Mr Rav Ahuja

    Mr Rav Ahuja
    Global Program Director
    IBM

    B.E /B.Tech, MBA

    Ms Priya Kapoor
    Content Developer
    IBM

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