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Implementing an Azure Databricks Environment in Microsoft Azure

Michael Bender

Everyday we have more data, and the problem is how do we get to where we can use the data. Learn how Azure Databricks helps solve those data problems with a robust analytics platform for bringing your data together for data engineers and scientists.

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Everyday we have more data, and the problem is how do we get to where we can use the data. Learn how Azure Databricks helps solve those data problems with a robust analytics platform for bringing your data together for data engineers and scientists.

Every day, we have more and more data, and the problem is how do we get to where we can use the data for business needs. In this course, Implementing a Databricks Environment in Microsoft Azure, you will learn foundational knowledge and gain the ability to implement Azure Databricks for use by all your data consumers like business users and data scientists. First, you'll learn the basics of Azure Databricks and how to implement ts components. Next, you will discover how to work with Azure Databricks during ETL (Extract, Transform, Load) operations. Then, you'll move on to performing batch scoring with machine learning models. Finally, you will explore how to work with streaming data from HDInsight Kafka. When you’re finished with this course, you will have the skills and knowledge of Azure Databricks needed to implement data pipeline solutions for your data consumers. Software required: Microsoft Azure Subscription

This course is no longer available. Find something similar by browsing:
Azure Databricks Apache Spark Data Engineering Data Science Machine Learning Streaming Data ETL

What's inside

Syllabus

Course Overview
Implementing an Azure Databricks Environment
Performing ETL (Extract, Transform, Load) Operations with Azure Databricks
Batch Scoring of Apache Spark ML Models with Azure Databricks
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explores using Azure Databricks to tackle data challenges and unlock insights
Provides foundational knowledge for implementing Azure Databricks to meet business needs
Covers essential components of Azure Databricks, including ETL operations, batch scoring, and streaming data integration
Led by instructor Michael Bender, who possesses expertise in this field
Focuses on practical implementation and application of Azure Databricks
Suitable for data engineers and scientists seeking to enhance their data pipeline solutions

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Reviews summary

Practical azure databricks for data professionals

According to learners, this course provides a practical foundation for implementing Azure Databricks environments, highly beneficial for data professionals. Students appreciate the hands-on activities and real-world examples, which help solidify understanding of ETL operations, machine learning model batch scoring, and streaming data integration. While the instructor's explanations are clear, some suggest a basic familiarity with Azure concepts is helpful to fully grasp the sometimes fast-paced content. Overall, it's considered a valuable resource for those looking to develop crucial data pipeline skills.
Instructor provides clear explanations and deep insights.
"The instructor clearly explained complex topics, making them easy to follow."
"I appreciated the instructor's expertise and ability to break down Databricks concepts."
"The lessons were well-structured and delivered effectively by the instructor."
Hands-on exercises crucial for real-world application.
"I found the hands-on labs extremely helpful for understanding the concepts."
"The practical exercises really solidified my knowledge of Databricks implementation."
"Being able to follow along with the instructor in Azure made a huge difference."
Fast-paced, covers broad topics rather than deep dives.
"The course covers a lot, but I wished some topics were explored more deeply."
"It's a great overview, but don't expect extremely in-depth coverage on every module."
"I found the pacing quite fast, requiring quick comprehension and prior knowledge."
Beneficial for learners with some prior Azure experience.
"I felt a bit lost without prior Azure familiarity, so some background helps."
"The course moves at a good pace, but having some cloud basics is an advantage."
"While the course covers basics, prior exposure to Azure will make it smoother."

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 Implementing an Azure Databricks Environment in Microsoft Azure with these activities:
Organize Course Notes and Materials
Ensures effective retention of course materials.
Browse courses on Organization
Show steps
  • Review notes, assignments, quizzes, and exams.
  • Summarize key concepts and insights.
  • Organize materials in a logical and accessible way.
Join an Azure Databricks Study Group
Provides opportunities to discuss course concepts, share knowledge, and get support from peers.
Browse courses on Azure Databricks
Show steps
  • Find or start a study group with other students taking the course.
  • Meet regularly to discuss course material, work on projects, and share resources.
Read 'Data Analytics with Azure Databricks'
Provides a comprehensive overview of the concepts covered in the course.
Browse courses on Apache Spark
Show steps
  • Review the chapters on ETL, batch scoring, and streaming data.
  • Take notes on the key concepts and examples.
  • Complete the practice exercises at the end of each chapter.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Attend an Azure Databricks workshop
Attending an Azure Databricks workshop can help you gain a deeper understanding of the platform and how to use it to solve real-world problems.
Show steps
  • Find an Azure Databricks workshop in your area.
  • Register for the workshop.
  • Attend the workshop.
Follow along with the Azure Databricks tutorials
Following along with the Azure Databricks tutorials can help you learn how to use the platform and how to solve common problems.
Show steps
  • Find the Azure Databricks tutorials.
  • Choose a tutorial to follow.
  • Follow the instructions in the tutorial.
Solve Azure Databricks Coding Challenges
Sharpens problem-solving skills and reinforces course concepts.
Browse courses on Azure Databricks
Show steps
  • Find online coding challenges or practice problems related to Azure Databricks.
  • Attempt to solve the challenges on your own.
  • Review your solutions and identify areas for improvement.
Create a Data Pipeline with Azure Databricks
Provides hands-on experience with the course concepts.
Browse courses on Data Pipeline
Show steps
  • Design a data pipeline for a specific business problem.
  • Implement the pipeline using Azure Databricks.
  • Test and evaluate the pipeline's performance.
Create a small ETL project
Creating a small ETL project can help you practice implementing ts components and performing ETL operations with Azure Databricks.
Show steps
  • Identify a small dataset to work with.
  • Create an Azure Databricks workspace.
  • Write code to load the data into Azure Databricks.
  • Write code to transform the data.
  • Write code to write the transformed data to a destination.
Practice writing Apache Spark ML models
Practicing writing Apache Spark ML models can help you improve your understanding of how to use Azure Databricks for machine learning.
Show steps
  • Find a dataset to work with.
  • Create an Azure Databricks workspace.
  • Write code to load the data into Azure Databricks.
  • Write code to train an Apache Spark ML model.
  • Write code to evaluate the model.
Follow Advanced Tutorials on Azure Databricks
Expands knowledge of advanced features and applications.
Browse courses on Azure Databricks
Show steps
  • Search for tutorials or online courses that cover advanced topics in Azure Databricks.
  • Follow the tutorials step-by-step.
  • Experiment with the code and examples provided.
Write a Tutorial on Azure Databricks for Beginners
Solidifies understanding of course concepts by explaining them to others.
Browse courses on Azure Databricks
Show steps
  • Choose a specific aspect of Azure Databricks to focus on.
  • Research the topic thoroughly.
  • Write a clear and concise tutorial.
  • Publish the tutorial online or share it with friends and colleagues.
Attend an Azure Databricks Meetup or Conference
Provides exposure to industry experts, trends, and job opportunities.
Browse courses on Azure Databricks
Show steps
  • Find upcoming conferences or meetups related to Azure Databricks.
  • Attend the events.
  • Network with professionals in the field.

Career center

Learners who complete Implementing an Azure Databricks Environment in Microsoft Azure will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data Engineers design and construct data pipelines to transform and refine raw data into a format that is accessible and useful to analysts and data scientists. This course, Implementing an Azure Databricks Environment in Microsoft Azure, provides a solid foundation in Azure Databricks, a popular cloud-based data analytics platform. By learning how to implement and utilize Azure Databricks, you'll gain the skills necessary to design and manage scalable data pipelines, a core competency for Data Engineers.
See salaries and explore the career path for Data Engineer
Data Scientist
Data Scientists use their expertise in statistics, programming, and machine learning to extract insights from data. This course, Implementing an Azure Databricks Environment in Microsoft Azure, provides a solid introduction to Azure Databricks, a widely used cloud-based data analytics platform. By learning how to implement and utilize Azure Databricks, you'll build a foundation in the tools and techniques used by Data Scientists to manage, analyze, and interpret data.
See salaries and explore the career path for Data Scientist
Machine Learning Engineer
Machine Learning Engineers build, deploy, and maintain machine learning models. This course, Implementing an Azure Databricks Environment in Microsoft Azure, covers the fundamentals of implementing machine learning models with a focus on Azure Databricks. By completing this course, you'll gain a deeper understanding of the processes involved in deploying and maintaining machine learning models, a crucial skill for Machine Learning Engineers.
See salaries and explore the career path for Machine Learning Engineer
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. This course, Implementing an Azure Databricks Environment in Microsoft Azure, provides a practical introduction to Azure Databricks, a leading cloud-based data analytics platform. By enrolling in this course, you'll acquire the skills needed to extract meaningful insights from data, a foundation for success as a Data Analyst.
See salaries and explore the career path for Data Analyst
Database Administrator
Database Administrators manage and maintain databases to ensure optimal performance and reliability. This course, Implementing an Azure Databricks Environment in Microsoft Azure, introduces the concepts and techniques used to implement and manage Azure Databricks, a cloud-based data analytics platform. By completing this course, you'll gain a broader understanding of data management practices, a valuable asset for Database Administrators.
See salaries and explore the career path for Database Administrator
Software Engineer
Software Engineers design, develop, and maintain software applications. This course, Implementing an Azure Databricks Environment in Microsoft Azure, teaches the fundamentals of implementing and utilizing Azure Databricks, a popular cloud-based data analytics platform. By learning how to work with Azure Databricks, you'll acquire skills in software development and data management, both essential for Software Engineers.
See salaries and explore the career path for Software Engineer
Cloud Architect
Cloud Architects design and manage cloud computing systems. This course, Implementing an Azure Databricks Environment in Microsoft Azure, focuses on implementing and managing Azure Databricks, a cloud-based data analytics platform. By enrolling in this course, you'll gain a better grasp of cloud computing principles and practices, laying the groundwork for a successful career as a Cloud Architect.
See salaries and explore the career path for Cloud Architect
Data Warehouse Engineer
Data Warehouse Engineers design, build, and maintain data warehouses. This course, Implementing an Azure Databricks Environment in Microsoft Azure, covers the concepts and techniques used to implement and manage Azure Databricks, a popular cloud-based data analytics platform. By learning how to work with Azure Databricks, you'll acquire skills in data management and data engineering, both fundamental to a successful career as a Data Warehouse Engineer.
See salaries and explore the career path for Data Warehouse Engineer
Business Intelligence Analyst
Business Intelligence Analysts use data to identify trends and patterns that inform business decisions. This course, Implementing an Azure Databricks Environment in Microsoft Azure, introduces the concepts and techniques used to implement and utilize Azure Databricks, a cloud-based data analytics platform. By enrolling in this course, you'll gain a solid understanding of data analysis and data visualization, critical skills for Business Intelligence Analysts.
See salaries and explore the career path for Business Intelligence Analyst
Data Governance Analyst
Data Governance Analysts develop and implement policies and procedures to ensure the integrity and security of data. This course, Implementing an Azure Databricks Environment in Microsoft Azure, covers the concepts and techniques used to implement and manage Azure Databricks, a cloud-based data analytics platform. By enrolling in this course, you'll gain a better understanding of data management and data security, essential for Data Governance Analysts.
See salaries and explore the career path for Data Governance Analyst
Statistician
Statisticians collect, analyze, and interpret data. This course, Implementing an Azure Databricks Environment in Microsoft Azure, introduces the concepts and techniques used to implement and utilize Azure Databricks, a cloud-based data analytics platform. By enrolling in this course, you'll gain a solid foundation in data analysis and data visualization, both essential skills for Statisticians.
See salaries and explore the career path for Statistician
Actuary
Actuaries analyze and assess risk using mathematical and statistical techniques. This course, Implementing an Azure Databricks Environment in Microsoft Azure, covers the concepts and techniques used to implement and utilize Azure Databricks, a cloud-based data analytics platform. By enrolling in this course, you'll gain a deeper understanding of data analysis and data modeling, both essential skills for Actuaries.
See salaries and explore the career path for Actuary
Financial Analyst
Financial Analysts evaluate and recommend investments. This course, Implementing an Azure Databricks Environment in Microsoft Azure, introduces the concepts and techniques used to implement and utilize Azure Databricks, a cloud-based data analytics platform. By completing this course, you'll gain exposure to data analysis and data visualization, skills that can complement your financial analysis practices.
See salaries and explore the career path for Financial Analyst
Market Researcher
Market Researchers gather and analyze data to understand consumer behavior. This course, Implementing an Azure Databricks Environment in Microsoft Azure, covers the concepts and techniques used to implement and utilize Azure Databricks, a cloud-based data analytics platform. By enrolling in this course, you'll gain a deeper understanding of data analysis and data visualization, skills that can complement your market research endeavors.
See salaries and explore the career path for Market Researcher
Operations Research Analyst
Operations Research Analysts develop and implement mathematical models to solve business problems. This course, Implementing an Azure Databricks Environment in Microsoft Azure, introduces the concepts and techniques used to implement and utilize Azure Databricks, a cloud-based data analytics platform. By enrolling in this course, you'll gain exposure to data analysis and data modeling, skills that may be valuable to your work as an Operations Research Analyst.
See salaries and explore the career path for Operations Research Analyst

Reading list

We've selected six 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 Implementing an Azure Databricks Environment in Microsoft Azure.
Cover image
Spark: The Definitive Guide
Save
An authoritative reference for Spark developers, providing in-depth coverage of Spark's internals, performance optimization, and advanced topics. Offers a deep understanding of Spark's design and implementation.
Spark: The Definitive Guide: Big Data Processing...
Paperback
$$
Spark: The Definitive Guide: Big Data Processing...
Kindle Edition
$$
Cover image
Learning Spark
Save
A great introduction to Apache Spark, with a focus on the fundamentals of programming with Spark. It covers basic concepts such as RDDs, transformations, and actions, as well as more advanced topics such as streaming and machine learning.
Learning Spark: Lightning-Fast Big Data Analysis
Paperback
$$
Cover image
Advanced Analytics with PySpark
Save
A comprehensive guide to advanced Spark topics, covering topics such as data mining, machine learning, and graph analytics. Provides in-depth insights into Spark's capabilities for solving complex data analysis problems.
Advanced Analytics with PySpark: Patterns for...
Paperback
$$
Advanced Analytics with PySpark
Kindle Edition
$$
Cover image
Spark: The Definitive Guide
Save
Provides a deep dive into the Apache Spark framework, which is the foundation of Azure Databricks.
Spark: The Definitive Guide
Paperback
Check
Spark: The Definitive Guide
Kindle Edition
Check
Cover image
Python for Data Analysis
Save
Provides a comprehensive guide to using Python for data analysis, which key skill for data engineers and data scientists who use Azure Databricks.
Python for Data Analysis
Paperback
Check
Python for Data Analysis
Kindle Edition
Check
Cover image
R for Data Science
Save
Provides a comprehensive guide to using R for data science, which key skill for data scientists who use Azure Databricks.
R for Data Science: Import, Tidy, Transform,...
Paperback
$$
(Deutsch) R für Data Science: Daten importieren, bereinigen,...
Kindle Edition
$$$

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Course image
Time
125 hours
Level
Introductory
Via
Pluralsight
Instructor
Michael Bender
Language
English
Implementing an Azure Databricks Environment in Microsoft Azure belongs to the following collections:
  1. Building Data Pipelines in Microsoft Azure
  2. Microsoft Azure Data Engineer (DP-200)
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Explores using Azure Databricks to tackle data challenges and unlock insights
Provides foundational knowledge for implementing Azure Databricks to meet business needs
Covers essential components of Azure Databricks, including ETL operations, batch scoring, and streaming data integration
Led by instructor Michael Bender, who possesses expertise in this field
Focuses on practical implementation and application of Azure Databricks
Suitable for data engineers and scientists seeking to enhance their data pipeline solutions
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