Mastering Databricks SQL Warehouse and Spark SQL
Mastering Databricks SQL Warehouse and Spark SQL
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 SQL in Databricks SQL Warehouse is based on Spark SQL.
This course also covers most of the curriculum relevant to clear the Databricks Certified Data Analyst Associate Exam offered by Databricks itself.
Here are the high-level details related to this course. This is a beginner level course where you will be able to not only learn syntax and semantics of Databricks SQL or Spark SQL, you will also understand the concepts of the same.
Setup Course Material and Environment for Databricks SQL Warehouse
Managing Databases using Databricks SQL Warehouse
Manage Delta Tables in Databricks SQL Warehouse
Setup Data Set for Databricks SQL Views and Copy Commands
Databricks SQL or Spark SQL Queries to Process Values in JSON String Columns
Copy Data into Delta Tables in Databricks SQL Warehouse
Insert or Merge Spark SQL or Databricks SQL Query Results or View into Delta Tables
Merge Spark SQL or Databricks SQL Query Results and Data from Delta Table with Delete into Delta Tables
Basic SQL Queries using Spark SQL or Databricks SQL
Performing Aggregations using Group By and filtering using Having leveraging Spark SQL or Databricks SQL
Aggregations using Windowing or Analytical Functions including Cumulative Aggregations using Spark SQL or Databricks SQL
Ranking using Windowing or Analytical Functions using Spark SQL or Databricks SQL
Dealing with different file formats such as parquet, json, csv, etc using Spark SQL or Databricks SQL
All Important types of Joins such as Inner, left or right outer, full outer using Spark SQL or Databricks SQL
Visualizations and Dashboards using Databricks SQL Warehouse
We have also provided quite a few exercises along with solutions with explanations through the course.
Key Takeaways of Mastering Databricks SQL and Spark SQL using Databricks SQL Warehouse
Setup Environment to learn Databricks SQL and Spark SQL using Azure
Support via Udemy Q&A backed by our expert team
Data Sets and Material via GitHub Repository along with instructions to practice Databricks SQL or Spark SQL
Life Time Access to High Quality Video Lectures to learn Databricks SQL and Spark SQL
A Comprehensive Course on Databricks SQL Warehouse and Spark SQL for Data Engineers, Data Analysts, BI Developers, etc
Url: View Details
What you will 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
Rating: 4.36111
Level: Beginner Level
Duration: 14 hours
Instructor: Durga Viswanatha Raju Gadiraju
Courses By: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
About US
The display of third-party trademarks and trade names on this site does not necessarily indicate any affiliation or endorsement of hugecourses.com.
View Sitemap