Is Mastering Databricks SQL Warehouse and Spark SQL beginner friendly?

Yes, this course is designed for beginners. It covers foundational concepts and requires no prior advanced knowledge in the subject area.

How long does it take to complete Mastering Databricks SQL Warehouse and Spark SQL?

The total duration of the course is approximately 14 total hours. Since it is generally self-paced, completion time depends entirely on your learning schedule and availability.

Does this course include hands-on projects?

Yes, the curriculum is highly practical and includes hands-on projects. Completing these will help you build a portfolio of work to demonstrate your new skills.

Do I get a certificate after completing Mastering Databricks SQL Warehouse and Spark SQL?

Yes, a certificate of completion is included, which you can add to your professional profile or resume to showcase your newly acquired skills.

What careers is this course relevant for?

The skills taught in this course are highly relevant for professionals pursuing roles within IT & Software and adjacent technical fields looking to upskill.

IT & Software

Mastering Databricks SQL Warehouse and Spark SQL

Name: Mastering Databricks SQL Warehouse and Spark SQL
Price: 459 INR
Availability: InStock
Rating: 4.4 (346 reviews)

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

4.4|Reviews (346)|verifiedIncluded in Subscription

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Course Insight

Suitable for beginner learners. This course serves as an entry point into IT & Software, building foundational knowledge before moving on to advanced frameworks or specialized paths.

Beginner FriendlyCertification IncludedSelf-Paced LearningHands-On Learning

SKILLS TO
MASTER

IT & Software Basics

Fundamental principles and concepts

Practical Application

Real-world project implementation

Best Practices

Industry standard workflows and guidelines

Problem Solving

Core Concepts

Implementation

Workflow Integration

Optimization

Careers:Cloud Engineer, DevOps Engineer, Solutions Architect.

Quick Facts

14 total hours

Independent Instructor

Below sections are verified from last major sync. For real-time updates and today's latest lectures, Check official page here.

What You’ll Learn

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

See how this course curriculum compares with alternatives

Outcomes

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).

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FAQs

Reviews

⭐4.7 / 5 average rating from 346+ learners

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