Microsoft Azure Databricks for Data Engineering

BY
Microsoft Corporation via Coursera

Are you a data engineer or developer and plan to explore Microsoft Azure Databrick? Enrol in the online course offered by Microsoft and Coursera.

Lavel

Intermediate

Mode

Online

Duration

3 Weeks

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based
Learning efforts 7 Hours Per Week

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 21 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. 

The highlights

  • Provided by Coursera
  • Offered by Microsoft
  • Flexible Deadlines
  • Shareable Certificate
  • Financial Aid Available
  • Self-Paced Learning Option
  • Intermediate level course
  • 100% Online Course
  • Around 21 Hours to Complete

Program offerings

  • English videos with multiple subtitles
  • Shareable certificate
  • Financial aid available
  • Shareable certificates
  • Self-paced learning option.

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 4,117

3 Months 

INR 8,234 (INR 2,745/month)

6 Months 

INR 12,352 ( INR 2,059/month)

certificate availability

Yes

certificate providing authority

Coursera

Who it is for

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

Module 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
Quizzes
  • Exercise quiz
  • Knowledge check
  • Knowledge check
  • Test prep
Discussion Prompt
  • Meet and greet

Module 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
Quizzes
  • Exercise quiz
  • Knowledge check
  • Test prep

Module 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
Quizzes
  • Exercise quiz
  • Knowledge check
  • Knowledge check
  • Test prep

Module 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
Quizzes
  • Exercise quiz
  • Knowledge check
  • Exercise quiz
  • Knowledge check
  • Test prep

Module 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
Quizzes
  • Exercise quiz
  • Knowledge check
  • Test prep

Module 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
Quizzes
  • Exercise quiz
  • Exercise quiz
  • Knowledge check
  • Knowledge check
  • Test prep

Module 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
Quizzes
  • Knowledge check
  • Knowledge check
  • Test prep

Module 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
Quizzes
  • Knowledge check
  • Knowledge check
  • Knowledge check
  • Test prep

Module 9 : Practice Exam on Data engineering with Azure Databricks

Videos
  • Course recap
  • Course summary
Readings
  • About the practice exam
  • Next steps
Quizzes
  • 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. 

What is the number of learners who have opted for this programme until now?

So far, 20,460 learners have enrolled and completed the online course provided by Microsoft. 

What is the minimum duration in which the learners can successfully complete the online programme?

Within 21 hours at the least, the learners can finish the onion programme.

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