Azure Data Engineer Real World Projects

Focused View

Sijeesh Kunnotharamal

6:05:10

6 View

1. Project-01

1. Introduction.mp4

02:57

2. Create resource group.mp4

03:32

3. Deploy storage account.mp4

05:57

4. Deploy Azure Data Factory.mp4

06:07

5. Deploy Azure SQL Database.mp4

08:07

6. Create storage container and upload input file.mp4

03:19

7. Create linked service in Azure Data Factory.mp4

10:28

8. Create Datasets in Azure Data Factory.mp4

05:44

9. Create Data Flow job in Azure Data Factory.mp4

14:13

10. Create and execute the pipeline in Azure Data Factory.mp4

08:31

11. Create Trigger and run the pipeline in Azure Data Factory.mp4

08:06

2. Project-02

1. Introduction.mp4

02:37

2. Deploy Azure Data Lake Gen-2 Storage.mp4

05:00

3. Deploy Azure Function.mp4

04:56

4. Deploy Azure Computer Vision.mp4

02:59

5. Deploy Azure Cosmos DB.mp4

03:58

6. Install Visual studio code and configure prerequisites.mp4

09:59

7. Develop Function in visual studio code.mp4

14:24

8. Execute Function from Visual Studio Code.mp4

04:07

9. Deploy the Function code to Azure Functions.mp4

11:23

10. Function code walk through.mp4

13:08

3. Project-03

1. Introduction.mp4

01:46

2. Deploy Azure Resources.mp4

08:18

3. Develop and validate function code using Visual Studio Code.mp4

14:49

4. Deploy the function to Azure Function App.mp4

05:27

4. Project-04

1. Introduction.mp4

02:48

2. Deploy Azure Data Lake Gen 2 Storage.mp4

04:46

3. Deploy Azure Key Vault.mp4

02:56

4. Deploy Azure Data Factory.mp4

03:08

5. Deploy Azure SQL.mp4

08:08

6. Deploy Azure Databricks.mp4

03:28

7. Create Spark Cluster in Databricks.mp4

03:38

8.1 mount adls container.txt

8.2 movies.csv

8. Develop and execute notebook from Databricks.mp4

11:57

9. Create scope in Azure Databricks.mp4

09:05

10.1 project04 adls to sql.zip

10. Import and execute Notebook.mp4

15:09

11. Create Linked Service in Azure Data Factory.mp4

09:58

12. Execute Databricks Notebook application using Azure Data Factory.mp4

13:43

13. Execute Databricks Notebook using Job Cluster.mp4

09:14

5. Project-05

1. Introduction.mp4

03:33

2. Deploying Resources in Azure.mp4

13:50

3. Familiarizing with Azure Synapse Analytics Workspace Studio.mp4

13:30

4.1 nyctripsmall.zip

4. Upload files to ADLS Gen2 and access from Synapse Analytics.mp4

06:07

5. Create Linked Service for Blob Storage and access data stored in the container.mp4

09:21

6. Create Linked Service for Cosmos DB.mp4

04:43

7.1 project-05.zip

7.2 Pyspark code.txt

7. Develop a notebook and execute Pyspark code.mp4

11:30

8. Develop Synapse pipeline to execute Notebook.mp4

24:46

Description

Learn Azure Data Engineering using Real-world Working Projects

What You'll Learn?

Azure Data Engineering by doing sample projects
Azure Data Engineer Basics
Learn Azure Data Factory , Azure Functions , Azure Data Lake Storage , Azure SQL
Learn Azure for Data Engineer by doing simple projects

Who is this for?

People who want to learn Azure Platform for Data Engineering

What You Need to Know?

No prior experience needed , only requirement is you need little bit patience and Azure Subscription

More details

Description
Why you want to Learn by doing projects ?
Â Â Â Â This course contains Azure Data Engineer real world projects. The best way to learn any new tools or technology is by doing things.I know learning by reading and understanding each components in Azure will be a boring task. Instead if you do some simple projects , it always helps you to learn the services in better and efficient way. In this course you can practice along with me and try to implement these projects even if you don't know anything. Once you did these projects you will get some basic understanding , next you can learn each components in detail.

Azure Data Engineering - Azure Services using
I tried to add most of the commonly used Azure Data Engineering components in Azure , they are

Azure Data bricks
Azure Storage / Azure Data Lake Gen-2
Azure Functions
Azure Databricks
Azure Synapse Analytics
Azure SQL
Azure Cosmos DB
Azure Data Factory
Azure Cognitive Services
Azure Key Vault

This course will help you in preparing and mastering your Azure Data engineering Concepts.

Who this course is for:
Aspiring Data engineer who are searching for project to add in resume
Students who are planning to switch their career in Data Engineering
Developers working on other technology trying to witch to Data Engineering
Data Engineers/ Data Warehouse Developers currently working on other platform who want to learn Azure Technologies
Data Architects who want to refresh their knowledge inÂ Azure Data Engineering stack
Data Scientists who want extend their knowledge into data engineering
Someone who is looking for Real World uses cases to implement as Data engineering Solution

Who this course is for:
People who want to learn Azure Platform for Data Engineering

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Data Science

Sijeesh Kunnotharamal

Instructor's Courses

Cloudera and Hortonworks Certified Hadoop administrator having around 14 Years of IT Industry experience .Working as Hortonworks and Cloudera Administrator for the past 4 years.Worked in Hadoop security implementation projects like Kerberos ,LDAP Integration ,Authorization tools like Sentry ,Ranger .Worked in auditing and lineage tools like Cloudera Navigator and ATLAS.

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