This course will help you in preparing and mastering your Azure Data engineering Concepts.
It is not like any random project like covid, or twitter analysis. These project is real world projects on which I personally worked and developed it for big clients.
Highlights of the Course:
•Designed to keep only précised information no beating around the bush. (To save your time).
•Real time implementation, no dummy use case.
•Can be added as part of your resume.
•It will help you to showcase your experience in interviews and discussion.
•Involve complex architecture solution which is aligned with industry best practices.
•Single projects involve various component integration like ADF, ADLS, Databricks, Azure SQL DB, Key Vault.
•Solves the problem of real time experience for new Data engineers.
This course has been developed in mind to keep all the best practices followed in the Industry as an data engineering project and solution.
•Azure Data Lake Storage Gen 2
•Azure Data Factory
•Data Factory Pipeline
•Azure Key Vault
•Azure SQL DB
•AWS S3 Bucket
•Connect ADF to Databricks
•Connect Databricks to SQL Server
•Connect Databricks to ADLS
•Connect S3 to Azure Cloud
•Create Secrets scope in Databricks
•Store secretes in Key Vault and access them
What you will learn after this course:
•How to think, design and develop the solution in the data engineering world.
•How to create the architecture diagram for data engineering projects.
•How to Create Azure Data Factory Account
•How to Create Azure Data Lake Storage Gen 2 account.
•How to Create Azure Databricks Workspace.
•How to create S3 storage account.
•How to create Azure Function.
•How to implement logic in the Databricks notebook using pyspark.
•How to connect ADF to Databricks.
•How to chain the multiple pieces together in project.
•How to create Azure SQL Server.
•How to load the data from file to Azure SQL server.
•How to connect Databricks notebook with Azure SQL Server.
•How to Store secrets in the Azure Key Vault.