Overview
A Comprehensive Course on Databricks SQL Warehouse and Spark SQL for Data Engineers, Data Analysts, BI Developers, etc
Syllabus
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- 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
Tags
On-Demand
