Fast track - Learn Azure Data Engineering with Mini Project
Free Coupon Discount - Azure Data Factory V2, Azure Data Lake, Azure Databricks, SQL Synapse Analytics, Azure Storage - Blob + ADLS | Created by Karthik J
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Description
Recently added sessions (as on Jun/01/20):
(1) Dynamically change DB connection in ADF (Parameterizing linked service)
(2) Visible comparison of Blob and Azure Data Lake Gen2 storage using data analytics through Azure Databricks.
Newly added sessions (as on May/14/20):
(1) Integrate Key Vault with Azure Databricks and extract secrets via Secret Scope
(2) Use Blob SDK in Azure Databricks to read/write files on blob like IO operations
(3) Connecting to SQL Server with pyodbc in Azure Databricks
(4) Datasets used in this course are now available to download. Visit Azure Data Factory section.
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Learn All in One Azure Data Engineering services along with hands-on (requirement gathering to implementation)
We will execute a small project. It will help you to learn:
1) Design concepts - How to design big data system. Terminologies of each components/layers.
2) Hands-on - We will be creating required Azure data services and will look various options available.
3) Tips and Tricks
4) Helps in DP-200 and DP-201 certification preparation.
Technologies you will learn:
Azure Data Factory V2, Databricks (using Standard cluster), Storage Services, SQL Synapse Analytics (DB part)
Course highlights:
1) Resources: Links to external resource for further reading
2) Datasets : Download and use dataset used in this course. Do more practice.
3) Architecture and Design : Start learning on how to deign the data load on cloud platform.
On the way to add more contents:
* Parameterize Linked Services in ADF
* Real time data ingestion using Eventhub, Stream analytics and Spark Streaming
* Use Pandas on Azure Databricks
* Visualize data in reporting tool / Azure Databricks
* Pricing and cost calculation
Who this course is for:
Beginners to Azure Data World
ETL Developers
Database Professionals
100% Off Udemy Coupon . Free Udemy Courses . Online Classes
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Preview this Udemy Course GET COUPON CODE
Description
Recently added sessions (as on Jun/01/20):
(1) Dynamically change DB connection in ADF (Parameterizing linked service)
(2) Visible comparison of Blob and Azure Data Lake Gen2 storage using data analytics through Azure Databricks.
Newly added sessions (as on May/14/20):
(1) Integrate Key Vault with Azure Databricks and extract secrets via Secret Scope
(2) Use Blob SDK in Azure Databricks to read/write files on blob like IO operations
(3) Connecting to SQL Server with pyodbc in Azure Databricks
(4) Datasets used in this course are now available to download. Visit Azure Data Factory section.
------------------------------------------------------------------------------------------------------------------
Learn All in One Azure Data Engineering services along with hands-on (requirement gathering to implementation)
We will execute a small project. It will help you to learn:
1) Design concepts - How to design big data system. Terminologies of each components/layers.
2) Hands-on - We will be creating required Azure data services and will look various options available.
3) Tips and Tricks
4) Helps in DP-200 and DP-201 certification preparation.
Technologies you will learn:
Azure Data Factory V2, Databricks (using Standard cluster), Storage Services, SQL Synapse Analytics (DB part)
Course highlights:
1) Resources: Links to external resource for further reading
2) Datasets : Download and use dataset used in this course. Do more practice.
3) Architecture and Design : Start learning on how to deign the data load on cloud platform.
On the way to add more contents:
* Parameterize Linked Services in ADF
* Real time data ingestion using Eventhub, Stream analytics and Spark Streaming
* Use Pandas on Azure Databricks
* Visualize data in reporting tool / Azure Databricks
* Pricing and cost calculation
Who this course is for:
Beginners to Azure Data World
ETL Developers
Database Professionals
100% Off Udemy Coupon . Free Udemy Courses . Online Classes
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