Implementing an Azure Databricks Environment in Microsoft Azure from Pluralsight

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

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

Streaming HDInsight Kafka Data into Azure Databricks

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Know what's good

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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

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

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Ensures effective retention of course materials.

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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

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Provides opportunities to discuss course concepts, share knowledge, and get support from peers.

Browse courses on Azure Databricks

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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'

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Provides a comprehensive overview of the concepts covered in the course.

Browse courses on Apache Spark

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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

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Attend an Azure Databricks workshop

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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.

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Find an Azure Databricks workshop in your area.
Register for the workshop.
Attend the workshop.

Follow along with the Azure Databricks tutorials

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Following along with the Azure Databricks tutorials can help you learn how to use the platform and how to solve common problems.

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Find the Azure Databricks tutorials.
Choose a tutorial to follow.
Follow the instructions in the tutorial.

Solve Azure Databricks Coding Challenges

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Sharpens problem-solving skills and reinforces course concepts.

Browse courses on Azure Databricks

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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

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Provides hands-on experience with the course concepts.

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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

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Creating a small ETL project can help you practice implementing ts components and performing ETL operations with Azure Databricks.

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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

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Practicing writing Apache Spark ML models can help you improve your understanding of how to use Azure Databricks for machine learning.

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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

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Expands knowledge of advanced features and applications.

Browse courses on Azure Databricks

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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

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Solidifies understanding of course concepts by explaining them to others.

Browse courses on Azure Databricks

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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

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Provides exposure to industry experts, trends, and job opportunities.

Browse courses on Azure Databricks

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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

Implementing an Azure Databricks Environment in Microsoft Azure

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