Beginner

    The Science Behind Modern Data Platforms

    This course explains the architectural principles behind modern data platforms. You will learn how storage scales beyond physical limits, how analytics engines process massive datasets efficiently, and how a lakehouse architecture works th…

    2+
    enrolled
    3 hrs
    of instruction
    6
    lectures
    3
    modules
    Photo of Abhishek KumarTaught by Abhishek Kumar
    The Science Behind Modern Data Platforms

    What's inside

    Live sessions
    3 · 95 min
    Decks & handouts
    3

    01 · What you'll be able to do

    Five things you can ship afterwards.

    This course explains the architectural principles behind modern data platforms. You will learn how storage scales beyond physical limits, how analytics engines process massive datasets efficiently, and how a lakehouse architecture works through a hands on Spark demonstration.

    Why modern data platforms

    Why modern data platforms separate storage and compute.

    How object storage enables

    How object storage enables infinite scale data systems.

    The internal physics

    The internal physics of analytics engines and distributed query execution.

    How columnar storage

    How columnar storage and predicate pushdown accelerate analytics.

    How lakehouse architectures unify

    How lakehouse architectures unify data lakes and analytics engines.

    02 · Curriculum

    What's in the course.

    3 modules · 6 lectures · 95 min of sessions

    01 · 36m02 · 28m03 · 31m

    Each block is one module, sized by session length.

    • Why Modern Data Platforms Use Object Storage36m
    • Why Modern Data Platforms Use Object Storage - Slide Deck (PDF)Deck

    03 · Instructors

    Taught by the people who built it.

    Abhishek Kumar

    Abhishek Kumar

    Instructor · 14 courses on ADaSci

    All courses by Abhishek

    04 · Is it for you?

    Who it's for, and what to bring.

    Built for

    • Data engineers who want deeper architectural understanding
    • Data scientists curious about how analytics engines work internally
    • Software engineers entering the data platform ecosystem
    • Analytics professionals working with modern cloud data stacks
    • Students exploring large scale data systems

    Bring with you

    • Basic understanding of databases and SQL
    • Familiarity with data analytics concepts
    • Some exposure to cloud or distributed systems is helpful
    • Basic understanding of data formats like CSV or Parquet
    • Curiosity about how modern data platforms work internally
    ACDE badge

    Next step · Prove it

    This course prepares you for the ACDE credential.

    The ADaSci Certified Data Engineer (ACDE) exam tests the skills this course teaches. Members sit it at a discount.

    See ACDE

    05 · FAQ

    Before you enrol.

    Each of the 3 modules is a recorded live session, with slide deck and handouts from that session. Watch at your own pace.

    $49.00

    Ready to start?

    $49, or free with Premium membership.

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