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This course offers essential knowledge of Apache Spark, with a focus on its distributed architecture and practical applications for large-scale data processing. Participants will explore programming frameworks, learn the Spark DataFrame API, and develop skills for reading, writing, and transforming data using Python-based Spark workflows. 

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What You'll Learn

  • Introduction to Spark

Who Should Attend

  • N/A
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Prerequisites

  • Basic programming knowledge
  • Familiarity with Python
  • Basic understanding of SQL queries (SELECT, JOIN, GROUP BY)
  • Familiarity with data processing concepts
  • No prior Spark or Databricks experience required

Learning Journey

Coming Soon...

Introduction to Spark

  • Spark Runtime Architecture
  • Exploring Apache Spark Architecture in Databbricks
  • Introduction to Spark DataFrames and SQL
  • Reading and Writing Data with DataFrames
  • Distributed System Programming Fundamentals
  • Basic ETL with the DataFrame API
  • Flight Data ETL with the DataFrame API
  • Analyzing Transaction Data with DataFrames

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Frequently Asked Questions (FAQs)

None

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Course Curriculum

Course Curriculum

Training Schedule

Training Schedule

Exam & Certification

Exam & Certification

FAQs

Frequently Asked Questions

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