Microsoft Azure Databricks for Data Engineering by Microsoft Corporation via Coursera: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study	Mode of Delivery Video and Text Based

Course overview

Microsoft Azure Databricks for Data Engineering is a Microsoft-offered course for intermediate-level learners, including data engineers and developers. The programme will enable you to learn and make aware of Microsoft Azure Databricks. Microsoft Azure Databricks for Data Engineering Certification Course is the eighth course in the 10-course Microsoft Azure Data Engineering Associate (DP-203) Professional Certificate offered by Microsoft.

Offered by Coursera, Microsoft Azure Databricks for Data Engineering Training is entirely provided in online mode. The course will provide you with a deep insight into Microsoft Azure Databricks and related technologies and concepts such as Microsoft Azure Databricks documentation and characteristics of Azure Databricks. You can complete the Microsoft Azure Databricks for Data Engineering Certification by Coursera within the minimum duration of 22 hours. The eligible students are expected to have an understanding of data processing languages like SQL, Python, or Scala and knowledge of data architecture patterns and parallel processing.

Course and certificate fees

Microsoft Azure Databricks for Data Engineering Certification Fee will differ on how many months the learners needed to complete the onion programme. The learners can pay the month-wise course fee in the EMI payment mode.

Microsoft Azure Databricks for Data Engineering Fee Structure

Duration	Amount in INR
1 Month	INR 4,091
3 Months	INR 8,182 (INR 2,727/month)
6 Months	INR 12,274 ( INR 2,046/month)

certificate availability

Yes

certificate providing authority

Coursera

Who it is for

Data scientist Data engineer

Microsoft Azure Databricks for Data Engineering Classes is a suitable programme for the people like Data engineers, Data Scientist, and Developers.

Eligibility criteria

Academic Qualifications

The learners of the Microsoft Azure Databricks for Data Engineering online programme must have the knowledge and understanding of parallel processing, data architecture patterns, and data processing languages such as Scala, SQL, and Python.

Certification Qualifying Details

The learners will be qualified for the certificate after the Microsoft Azure Databricks for Data Engineering online course if they pay for the course and complete the whole gamut of course proceedings.

What you will learn

Knowledge of apache spark

Microsoft Azure Databricks for Data Engineering Certification Syllabus will provide the learners with the knowledge and skill of:

To make familiar with Azure Databricks Spark Cluster architecture
Make use of DataFrames for the data transformations.
To create a Delta Lake
To build production workloads with the help of Azure Data Factory on Azure Databricks.

The syllabus

Week 1 : Introduction to Azure Databricks

Videos

Introduction to the course
Explain Azure Databricks
Lesson summary
Lesson introduction
Understand the architecture of Azure Databricks Spark cluster
Understand the architecture of spark job
Lesson summary

Readings

Course syllabus
How to be successful in this course
Create an Azure Databricks workspace and cluster
Create and execute a notebook
Exercise: Work with Notebooks

Practice exercises

Exercise quiz
Knowledge check
Knowledge check
Test prep

Week 2 : Read and write data in Azure Databricks

Videos

Lesson introduction
Lesson summary

Readings

Read data in CSV format
Read data in JSON format
Read data in Parquet format
Read data stored in tables and views
Write data
Exercises: Read and write data

Practice exercises

Exercise quiz
Knowledge check
Test prep

Week 3 : Data processing in Azure Databricks

Videos

Lesson introduction
Lesson summary
Lesson introduction
Describe the fundamentals of how the Catalyst Optimizer works
Describe performance enhancements enabled by shuffle operations and Tungsten
Lesson summary

Readings

Describe a DataFrame
Use common DataFrame methods
Use the display function
Exercise: Distinct articles
Describe the difference between eager and lazy execution
Define and identify actions and transformations

Practice exercises

Exercise quiz
Knowledge check
Knowledge check
Test prep

Week 4 : Work with DataFrames in Azure Databricks

Videos

Lesson introduction
Lesson summary
Lesson introduction
Lesson summary

Readings

Describe the column class
Work with column expressions
Exercise: Washingtons and Marthas
Perform date and time manipulation
Use aggregate functions
Exercise: Deduplication of data

Practice exercises

Exercise quiz
Knowledge check
Exercise quiz
Knowledge check
Test prep

Week 5 : Platform architecture, security, and data protection in Azure Databricks

Videos

Lesson introduction
Describe the Azure Databricks platform architecture
Perform data protection
Secure access with Azure IAM and authentication
Describe security
Lesson summary

Readings

Create the required resources
Describe Azure key vault and Databricks security scopes
Exercise: Access Azure Storage with key vault-backed secrets
Further resources

Practice exercises

Exercise quiz
Knowledge check
Test prep

Week 6 : Delta Lake

Videos

Describe the open source Delta Lake
Lesson summary
Lesson introduction
Describe bronze, silver, and gold architecture
Lesson summary

Readings

Get started with Delta using Spark APIs
Exercise: Work with basic Delta Lake functionality
Describe how Azure Databricks manages Delta Lake
Exercise: Use the Delta Lake Time Machine and perform optimization
Perform batch and stream processing
Further resources

Practice exercises

Exercise quiz
Exercise quiz
Knowledge check
Knowledge check
Test prep

Week 7 : Analyze streaming data and create production workloads

Videos

Lesson introduction
Describe Azure Databricks structured streaming
Lesson summary
Lesson introduction
Create the required resources
Summary

Readings

Perform stream processing using structured streaming
Work with Time Windows
Process data from Event Hubs with structured streaming
Schedule Databricks jobs in a Data Factory pipeline
Pass parameters into and out of Databricks jobs in Data Factory
Further resources

Practice exercises

Knowledge check
Knowledge check
Test prep

Week 8 : Create a data architecture

Videos

Lesson introduction
Describe CI/CD
Lesson summary
Lesson summary
Lesson summary
Lesson Introduction
Understand workspace administration best practices
List security best practices
Describe tools and integration best practices
Explain Databricks runtime best practices
Lesson summary

Readings

Create a CI/CD process with Azure DevOps
Set up Azure Synapse Analytics
Integrate with Azure Synapse Analytics
Understand cluster best practices
Further resources

Practice exercises

Knowledge check
Knowledge check
Knowledge check
Test prep

Week 9 : Practice Exam on Data engineering with Azure Databricks

Videos

Course recap
Course summary

Readings

About the practice exam
Next steps

Practice exercise

Course practice exam

Admission details

Step 1 -Search the official URL

https://www.coursera.org/learn/microsoft-azure-databricks-for-data-engineering

Step 2- Join the course by clicking ‘Enroll Now’ through either audit mode or enrolment by paying the fee.

Scholarship Details

The learners who cannot afford the course fee of Microsoft Azure Databricks for Data Engineering Certification can try for the financial aid provided by Coursera. They can apply by providing the required information, like the annual income and job status, at the link provided in the course description.

How it helps

Microsoft Azure Databricks for Data Engineering Certification benefits for the candidates is that the learners will have deep knowledge of Microsoft Azure Databricks. Plus, Coursera will provide the learners with a shareable certificate by Microsoft after the completion of the programme.

FAQs

Name the company that developed and offers the Microsoft Azure Databricks for Data Engineering online course?

The online course is designed and provided jointly by Microsoft and Coursera.

What is the name of the certification offered by Microsoft in which the online programme is part?

The online certification is part of the Microsoft Azure Data Engineering Associate (DP-203) Professional Certificate offered by Microsoft.

Who can join and pursue the Microsoft Azure Databricks for Data Engineering online certification?

The online program is meant for the intermediate level programme who have the knowledge and understanding of parallel processing, data architecture patterns, and data processing languages.