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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...
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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.
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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.
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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.
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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.
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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
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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

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.
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.
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.
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.
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.
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.
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.
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.
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.

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