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Working with Azure Databricks

Dean Savovic
In this 1-hour long project-based course, you will learn how to (create your own Azure Databricks workspace and create a cluster and notebook in Azure Databricks, use Azure Databricks to access data sources, reading data in Azure Databricks and perform ETL to populate a data model, perform basic transformations using Azure Databricks). Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
A foundational course for those wanting to learn data engineering with Azure Databricks
Builds skills that are highly relevant to industry
Course content offers hands-on labs and interactive materials
Might not be suitable for learners outside North America for the time being

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Reviews summary

Azure databricks basics

This beginner-friendly course provides a step-by-step guided project that teaches you the basics of Azure Databricks. However, some learners have noted that the course lacks organization.
Great for new users.
"good"
Hands-on learning experience.
"Step by step easy guided project"
Could be more organized.
"not systmatic approach toward the reader while explaining"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Working with Azure Databricks with these activities:
Refresh SQL fundamentals
Getting a quick refresher on the fundamentals of SQL before diving into the course will prepare learners to succeed.
Browse courses on SQL
Show steps
  • Review basic SQL syntax, including SELECT, FROM, WHERE, and ORDER BY clauses.
  • Practice writing simple SQL queries to retrieve data from a database.
Find a Mentor in the Azure Databricks Community
Connect with experienced Azure Databricks users and seek their guidance to enhance your learning journey.
Browse courses on Azure Databricks
Show steps
  • Join Azure Databricks online communities and forums
  • Attend Azure Databricks meetups and events
  • Reach out to Azure Databricks experts on LinkedIn
Guided Tutorial: Setting Up Your Azure Databricks Workspace
Start by setting up your workspace in Azure Databricks, so you can easily follow along with the hands-on portions of the course.
Browse courses on Cloud Computing
Show steps
  • Create an Azure Databricks workspace
  • Create a cluster in Azure Databricks
  • Create a notebook in Azure Databricks
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete Azure Databricks tutorials
Following these tutorials will provide hands-on experience with Azure Databricks, the platform used in the course.
Browse courses on Azure Databricks
Show steps
  • Create an Azure Databricks workspace and cluster.
  • Import data into Azure Databricks using various methods.
  • Perform basic data transformations and aggregations.
Complete a guided walkthrough of Spark SQL
Gain hands-on experience with Spark SQL and its use cases for data querying and manipulation
Browse courses on Spark SQL
Show steps
  • Follow the official Apache Spark tutorial on Spark SQL
  • Apply the learned concepts to a sample dataset and complete the exercises
Practice Drills: Data Manipulation in Azure Databricks
Reinforce your understanding of data manipulation in Azure Databricks by completing these practice drills.
Browse courses on Azure Databricks
Show steps
  • Use Azure Databricks to read data from different sources
  • Perform data transformations using Azure Databricks
  • Create data visualizations using Azure Databricks
Create a data visualization dashboard
Building a data visualization dashboard will help learners apply the data analysis and visualization techniques covered in the course.
Browse courses on Data Visualization
Show steps
  • Identify the key metrics and insights to be visualized.
  • Choose appropriate visualization types for each metric.
  • Create the dashboard using a data visualization tool.
Create a Data Pipeline using Azure Databricks
Demonstrate your skills by creating a data pipeline using Azure Databricks to automate your data processing tasks.
Browse courses on Azure Databricks
Show steps
  • Design your data pipeline
  • Implement your data pipeline in Azure Databricks
  • Test and deploy your data pipeline

Career center

Learners who complete Working with Azure Databricks will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to machine learning tasks such as data preprocessing, feature engineering, and model training.
See salaries and explore the career path for Machine Learning Engineer
Data Engineer
A Data Engineer builds, tests, and maintains the infrastructure used to store and process data. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to data engineering tasks such as data ingestion, transformation, and analysis.
See salaries and explore the career path for Data Engineer
Data Analyst
A Data Analyst collects, cleans, and analyzes data to identify trends and insights. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to data analysis tasks such as data exploration, data visualization, and statistical modeling.
See salaries and explore the career path for Data Analyst
Data Scientist
A Data Scientist develops and applies statistical and machine learning models to data to solve business problems. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to data science tasks such as data preparation, model building, and model evaluation.
See salaries and explore the career path for Data Scientist
Cloud Engineer
A Cloud Engineer designs, builds, and maintains cloud computing systems. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to cloud engineering tasks such as data storage, data processing, and data analytics.
See salaries and explore the career path for Cloud Engineer
Data Architect
A Data Architect designs and manages the architecture of data systems. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to data architecture tasks such as data modeling, data integration, and data governance.
See salaries and explore the career path for Data Architect
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to software engineering tasks such as data integration, data processing, and data visualization.
See salaries and explore the career path for Software Engineer
Database Administrator
A Database Administrator manages and maintains databases. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to database administration tasks such as data storage, data security, and data performance.
See salaries and explore the career path for Database Administrator
Sales Manager
A Sales Manager manages a team of sales representatives. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to sales tasks such as data analysis, data visualization, and data-driven decision making.
See salaries and explore the career path for Sales Manager
Marketing Manager
A Marketing Manager plans and executes marketing campaigns. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to marketing tasks such as data analysis, data visualization, and data-driven decision making.
See salaries and explore the career path for Marketing Manager
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to financial analysis tasks such as data collection, data analysis, and data visualization.
See salaries and explore the career path for Financial Analyst
Product Manager
A Product Manager manages the development and launch of new products. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to product management tasks such as data analysis, data visualization, and data-driven decision making.
See salaries and explore the career path for Product Manager
Business Analyst
A Business Analyst analyzes business processes and data to identify opportunities for improvement. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to business analysis tasks such as data collection, data analysis, and data visualization.
See salaries and explore the career path for Business Analyst
Consultant
A Consultant provides advice and guidance to organizations on a variety of topics. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to consulting tasks such as data analysis, data visualization, and data-driven decision making.
See salaries and explore the career path for Consultant
Project Manager
A Project Manager plans, executes, and closes projects. This course may be useful because it will teach the basics of Azure Databricks, a popular cloud-based data platform. This knowledge can be applied to project management tasks such as data collection, data analysis, and data visualization.
See salaries and explore the career path for Project Manager

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Working with Azure Databricks.
Cover image
Learning Spark
Save
Provides a comprehensive overview of Spark, the open-source big data processing engine. It valuable resource for anyone who wants to learn more about Spark and how to use it effectively.
Learning Spark: Lightning-Fast Big Data Analysis
Paperback
$$
Cover image
Spark: The Definitive Guide
Save
Provides a comprehensive overview of Apache Spark. It covers topics such as the architecture of Spark, how to use Spark for data engineering and analytics tasks, and how to optimize Spark performance.
Spark: The Definitive Guide
Paperback
Check
Spark: The Definitive Guide
Kindle Edition
Check
Cover image
Python for Data Analysis
Save
Provides a comprehensive overview of data analysis with Python and Pandas. It valuable resource for anyone who wants to learn more about data analysis with Python.
Python for Data Analysis: Data Wrangling with...
Paperback
$$
Python for Data Analysis
Kindle Edition
$$
Python for Data Analysis: Data Wrangling with...
Paperback
$$$
Cover image
Build a Large Language Model (From Scratch)
Save
Provides a comprehensive overview of machine learning with Python. It valuable resource for anyone who wants to learn more about data science and how to use it effectively.
Build a Large Language Model (From Scratch)
Paperback
Check
Build a Large Language Model (From Scratch)
Kindle Edition
Check
Cover image
Deep Learning with Python, Second Edition
Save
Provides a comprehensive overview of deep learning with Python. It valuable resource for anyone who wants to learn more about data science and how to use it effectively.
Deep Learning with Python, Second Edition
Paperback
$$
Deep Learning with Python, Second Edition
Kindle Edition
$$
Cover image
The Elements of Statistical Learning
Save
Provides a comprehensive overview of statistical learning. It valuable resource for anyone who wants to learn more about data science and how to use it effectively.
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Kindle Edition
$$$
Cover image
Introduction to Programming in Java
Save
Provides a comprehensive overview of algorithms. It valuable resource for anyone who wants to learn more about data science and how to use it effectively.
Introduction to Programming in Java: An...
Paperback
$$$
Introduction to Programming in Java: An...
Paperback
$$$
Introduction to Programming in Java: An...
Kindle Edition
$$
Cover image
Hadoop: The Definitive Guide
Save
Provides a comprehensive overview of Hadoop. It valuable resource for anyone who wants to learn more about Hadoop and how to use it effectively.
Hadoop: The Definitive Guide: Storage and Analysis...
Paperback
$$
Hadoop: The Definitive Guide
Kindle Edition
$$
Hadoop: The Definitive Guide
Paperback
$$
Hadoop: The Definitive Guide
Paperback
$$
Cover image
Data Science for Business
Save
Provides a comprehensive overview of data science for business. It valuable resource for anyone who wants to learn more about data science and how to use it effectively.
Data Science for Business: What You Need to Know...
Paperback
$$
Data Science for Business: What You Need to Know...
Kindle Edition
$$

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Time
2 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Dean Savovic
Good to know
A foundational course for those wanting to learn data engineering with Azure Databricks
Builds skills that are highly relevant to industry
Course content offers hands-on labs and interactive materials
Might not be suitable for learners outside North America for the time being
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