Mastering Databricks SQL Warehouse and Spark SQL
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- The lowest price of Mastering Databricks SQL Warehouse and Spark SQL was obtained on June 13, 2025 3:04 am.
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Mastering Databricks SQL Warehouse and Spark SQL
$59.99 Original price was: $59.99.$10.00Current price is: $10.00.
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Mastering Databricks SQL Warehouse and Spark SQL
★★★★★
$16.00 in stock
Udemy.com
as of June 13, 2025 3:04 am
A Comprehensive Course on Databricks SQL Warehouse and Spark SQL for Data Engineers, Data Analysts, BI Developers, etc

Created by:
Durga Viswanatha Raju Gadiraju
CEO at ITVersity and CTO at Analytiqs, Inc
CEO at ITVersity and CTO at Analytiqs, Inc

Created by:
Pratik Kumar

Created by:
Sathvika Dandu

Created by:
Madhuri Gadiraju

Created by:
Sai Varma

Created by:
Phani Bhushan Bozzam
Aspiring Project Manager & Creative UI/UX Designer
Aspiring Project Manager & Creative UI/UX Designer

Created by:
Anushka Chakraborty
Rating:4.5 (416reviews)
3086students enrolled
What Will I Learn?
- Setup Databricks SQL Warehouse Environment using Azure Databricks for hands-on Practice
- Getting Started with Databricks SQL for Data Analysis or Data Engineering
- Features of Databricks SQL Warehouse - Clusters, Query Editor, Visualizations and Dashboards, etc
- Overview of building reports and dashboards using Databricks SQL
- Creating Databases and Tables using Databricks SQL or Spark SQL
- Writing Basic Queries using Databricks SQL or Spark SQL
- DML to load data into Databricks SQL or Spark SQL Tables
- Advanced Operations such as Ranking and Aggregations using Databricks SQL or Spark SQL
- Processing Semi-Structured Data using Databricks SQL or Spark SQL
- In-depth Coverage about Delta Tables including all possible DML Operations such as Insert, Update, Delete, Merge, etc
- End to End Life Cycle of Data Analysis of Data in Files using Databricks (Uploading File to Databricks to Reports and Dashboards)
Requirements
- Basic SQL Skills and Data Analysis Skills
- Computer with decent configuration and Internet
- Valid Azure Account with Databricks (instructions provided to setup environment using Azure Databricks for hands on practice)
Target audience
- Data Analysts and BI Developers who want to understand Databricks SQL or Spark SQL Queries to analyze the data
- Data Engineers who would like to understand Databricks SQL
- QA Analysts or Engineers who would like to understand Databricks SQL for the validation of the data
- Business Analysts to analyze the Data in the Data Lake using Databricks SQL or Spark SQL Queries
- BI Developers who want to understand how to connect BI Tools to Databricks SQL Endpoint and develop required reports and dashboards
Price History
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