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Introduction to Apache Spark™

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. 

Skill Level
Associate
Duration
4h
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

Outline

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

Upcoming Public Classes

Date
Time
Language
Price
May 07
09 AM - 01 PM (America/New_York)
English
$750.00
May 09
02 PM - 06 PM (Asia/Singapore)
English
$750.00
Jun 05
01 PM - 05 PM (Europe/London)
English
$750.00
Jun 16
01 PM - 05 PM (America/New_York)
English
$750.00
Jul 24
01 PM - 05 PM (Asia/Kolkata)
English
$750.00
Jul 24
09 AM - 01 PM (America/New_York)
English
$750.00

Public Class Registration

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Skills@Scale

Comprehensive training offering for large scale customers that includes learning elements for every style of learning. Inquire with your account executive for details

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