Spark SQL Course

10 Lesson

24 Hours

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Learn big data querying and analytics with Spark SQL Training Online. This course is your complete guide to understanding how Spark SQL enables structured data processing on large-scale datasets using Apache Spark. This Spark SQL course curriculum is designed by experienced data engineering professionals and emphasizes real-world use cases for analyzing, transforming, and managing big data efficiently. We have trained 400+ learners globally, helping them build a strong foundation in big data analytics and data processing using Spark SQL.

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Overview

This course will help you learn how to use Spark SQL to query, process, and analyze large-scale data using SQL and DataFrame APIs on Apache Spark. By the end of this Spark SQL certification course, you will be able to write efficient SQL queries, perform ETL operations, work with structured data from multiple sources, and apply Spark SQL concepts in real-world big data and data engineering scenarios.

Prerequisites

SQL fundamentals
Basic programming concepts
Python, Scala, or Java familiarity
Database and data warehousing basics
Big data and distributed computing fundamentals
Basic Linux/Unix commands

Course Target Audience

IT engineers
Data analysts
Data scientists
Big data beginners
Analytics professionals
Research professionals
ETL developers
Business intelligence professionals
Reporting professionals
Students and fresh graduates

What Will You Learn

Apache Spark architecture fundamentals
Distributed computing concepts
Resilient Distributed Datasets (RDDs)
Spark DataFrames API
Spark Datasets API
Running SQL and HiveQL queries in Spark
Temporary views and catalogs
Working with structured and semi-structured data
Data sources: CSV, JSON, Parquet, ORC, Avro
Hive and JDBC data integration
SQL joins, aggregations, and subqueries
Window functions in Spark SQL
Catalyst optimizer and query execution
Performance tuning and optimization techniques
Data caching and partitioning
ETL pipeline development
Batch and structured streaming integration
Spark UI monitoring
Query plan analysis and debugging

Key Features

1 On 1 Training Option Available
24 X 7 Lifetime Support & Access
Small Batches Upto 10 Participants
Experienced & Professional Trainers
100% Job Assistance
Flexible Schedule

Course Curriculum

Lesson 1 - Introduction to Apache Spark and Spark SQL

1. Apache Spark overview

2. Spark ecosystem components

3. Spark SQL use cases

Lesson 2 - Spark Architecture Fundamentals

1. Spark driver and executors

2. Cluster managers

3. Distributed processing concepts

Lesson 3 - Working with Spark DataFrames

1. Creating DataFrames

2. Schema inference

3. Basic DataFrame operations

Lesson 4 - Running SQL Queries in Spark

1. SparkSession and SQLContext

2. Creating temporary views

3. ANSI SQL and HiveQL queries

Lesson 5 - Data Sources and File Formats

1. CSV, JSON, Parquet, ORC

2. Hive tables

3. JDBC and external data sources

Lesson 6 - Data Transformation and Aggregations

1. Filtering and sorting

2. GroupBy and aggregations

3. Built-in SQL functions

Lesson 7 - Advanced Spark SQL Operations

1. Joins and subqueries

2. Window functions

3. User-defined functions (UDFs)

Lesson 8 - Performance Optimization in Spark SQL

1. Catalyst optimizer

2. Caching and persistence

3. Partitioning and tuning

Lesson 9 - ETL with Spark SQL

1. Data ingestion workflows

2. Transform and load processes

3. Batch ETL pipelines

Lesson 10 - Monitoring and Debugging

1. Spark UI

2. Query execution plans

3. Performance troubleshooting

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1-800-7430-173 (US Toll Free)

+91 7240740740 (India)

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Course Fees

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 24 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 13 Jul 2026
Weekday Batch 13 Jul 2026
Weekend Batch 18 Jul 2026

Corporate Training

Customized Training Delivery Model
Flexible Training Schedule Options
Industry Experienced Trainers
24x7 Support

Trusted By Top Companies Worldwide

Want to know Today's Offer

Spark SQL Certification

After completing the Spark SQL Training Course and hands-on exercises, learners receive a Course Completion Certificate from igmGuru. This certification validates your ability to write and optimize Spark SQL queries, work with DataFrames, process large datasets, perform ETL operations, and apply performance tuning techniques within the Apache Spark ecosystem for real-world big data and analytics use cases.

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Spark SQL Course