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Starts 29 June 2025 08:01

Ends 29 June 2025

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Mastering Databricks SQL Warehouse and Spark SQL

A Comprehensive Course on Databricks SQL Warehouse and Spark SQL for Data Engineers, Data Analysts, BI Developers, etc
via Udemy

4123 Courses


14 hours 8 minutes

Optional upgrade avallable

Not Specified

Progress at your own speed

Paid Course

Optional upgrade avallable

Overview

Databricks SQL Warehouse is relatively new technology to build Data Lakehouse or Data Warehouse leveraging powerful Apache Spark Engine where the analytics can be built at scale. As part of this comprehensive course, you will learn all key skills required to master Databricks SQL Warehouse including Spark SQL as the SQLin Databricks SQL Warehouse is based on Spark SQL.

Syllabus

  • Introduction to Databricks and the Data Lakehouse
  • Overview of Databricks Platform
    Introduction to Data Lakehouse Architecture
    Benefits of Using Databricks SQL Warehouse
  • Getting Started with Databricks SQL Warehouse
  • Setting Up Your Databricks Environment
    Basic Navigation and Interface Features
    Understanding Clusters and Scalability
  • Fundamentals of Spark SQL
  • Introduction to Spark SQL Syntax
    DataFrames and Datasets
    Common SQL Operations in Spark
  • Advanced Spark SQL Features
  • Joins, Aggregations, and Window Functions
    Handling JSON, Complex Types, and UDFs
    Performance Optimization Techniques
  • Building and Querying Databricks SQL Warehouses
  • Creating and Managing Databricks SQL Warehouses
    Querying Data with Spark SQL
    Best Practices for Writing Efficient Queries
  • Integration and Data Ingestion
  • Connecting to Various Data Sources
    Importing and Ingesting Data into Databricks
    ETL Processes using Databricks
  • Real-World Use Cases of Databricks SQL Warehouse
  • Analytics and Reporting
    Machine Learning Integrations
    Real-Time Data Processing
  • Security, Compliance, and Governance
  • User Access and Permissions
    Data Encryption and Compliance Standards
    Monitoring and Auditing
  • Practical Workshops and Capstone Project
  • Hands-On Labs: Building Data Pipelines
    Group Projects: Real-World Problem Solving
    Capstone Project Presentation and Feedback
  • Conclusion and Future Directions
  • Recap and Key Takeaways
    Emerging Trends in Databricks and Spark SQL
    Resources for Continued Learning

Taught by

Durga Viswanatha Raju Gadiraju, Pratik Kumar, Sathvika Dandu, Madhuri Gadiraju, Sai Varma and Phani Bhushan Bozzam


Subjects

Data Science