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Data Engineering · Classroom training

Learn PySpark.Use it at work.

Learn Big Data processing using PySpark, DataFrames, Spark SQL, transformations, actions, and data validation for enterprise-level applications.

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  • Real project work
  • Mock interviews
  • Placement guidance

SSS Academy · Course file

Enrolling

Data Engineering

PySpark Training

PY
Duration
2 months
Level
Intermediate
Format
In person
Location
Chikkodi

How you'll learn

A practical path, not a lecture marathon.

01—03
  1. 01

    Understand

    Build the right foundations

  2. 02

    Practise

    Work through real scenarios

  3. 03

    Prove it

    Complete a guided project

Not sure this is your track?Counselling is free.

Let's talk

What you'll cover

Process data at enterprise scale with Spark.

  1. 01Big Data and Spark architecture
  2. 02PySpark DataFrames
  3. 03Spark SQL
  4. 04Transformations and actions
  5. 05Data validation at scale
  6. 06Enterprise application patterns

Included with every track

  • Real-time project scenarios
  • Interview preparation & mock interviews
  • Resume guidance
  • Placement assistance
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Where this leads

Learners from our data and testing tracks describe the same foundations: practical work, clear explanations and focused interview preparation.

  • RAKSHITA J

    AUTOMATION TEST ENGINEER

  • RUTU H

    AUTOMATION TEST ENGINEER

  • PALLAVI G

    ETL AUTOMATION TESTER

All placement stories

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