Apache Spark Developer

DATB-IAS : Introduction to Apache Spark

Course Duration

3 Hours

Delivery

ILT/VILT

Overview

Overview Course Curriculum Training Schedule Exam & Certification FAQs

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.

What You'll Learn

Introduction to Spark

Who Should Attend

Professionals with basic programming knowledge and familiarity with Python, looking to learn distributed big-data processing using Apache Spark.
Analysts, data engineers or developers with a grasp of SQL (SELECT, JOIN, GROUP BY) and data-processing concepts, who want to begin working with Spark DataFrame APIs, reading/writing large datasets and building ETL workflows.
Individuals with little to no prior Spark or Databricks experience, seeking to gain foundational competence in Spark’s architecture, data transformation using Python and distributed data-processing techniques.
Team members moving into roles where they will work with large-scale data volumes and requiring knowledge of Spark programming fundamentals before advancing to more specialised or production-grade Spark topics.

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...

Module 1. Introduction to Spark

Spark Runtime Architecture
Exploring Apache Spark Architecture in Databricks
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

Frequently Asked Questions (FAQs)

None

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