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Learn Azure data factory and AWS GLUE (ETL)

person icon Manish Tiwari

4.6

Learn Azure data factory and AWS GLUE (ETL)

Master ETL in cloud with AWS glue & Azure data factory lab

updated on icon Updated on Jul, 2024

language icon Language - English

person icon Manish Tiwari

English [CC]

category icon IT & Software,Microsoft Azure

Lectures -83

Duration -9.5 hours

4.6

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Course Description

In this course, we would learn the following:

1) We will start with Basics on Server less Computing .

2) We will learn Schema Discovery, ETL, Scheduling, and Tools integration using Server less AWS Glue Engine built on Spark environment.

3) We will learn to develop a centralized Data Catalogue too using Server less AWS Glue Engine.

Businesses have always wanted to manage less infrastructure and more solutions. Big data challenges are continuously challenging the infrastructure boundaries. Having Server less Storage, Server less ETL, Server less Analytics, and Server less Reporting, all on one cloud platform had sounded too good to be true for a very long time. But now its a reality on AWS platform. AWS is the only cloud provider that has all the native server less components for a true Server less Data Lake Analytics solution.

This course understands your time is important, and so the course is designed to be laser-sharp on lecture timings, where all the trivial details are kept at a minimum and focus is kept on core content for experienced AWS Developers / Architects / Administrators. By the end of this course, you can feel assured and confident that you are future-proof for the next change and disruption sweeping the cloud industry.

I am very passionate about AWS Server less computing on Data and Analytics platform, and am covering A-to-Z of all the topics discussed in this course.

This course will target anyone who likes to learn azure data factory and data bricks . This course will cover all ADF components from the Model and View layer. In this course I have selected 15+ real time industry level project learning which will cover all the topic which is necessary to learn azure data factory  and data bricks and will be able to work on industry . This is completely hands on learning tutorial where we will do practical's based learning and by end of this course we will develop a complete ADF application together (step by step) and  By the end of this course, you should be able to develop a complete ADF application by yourself.

If you will be able to practical's with me you will be able to get complete picture of data factory

I have also included lessons on the storage blob Storage, amazon s3 , Azure SQL Database etc. Also, there are lessons on  Azure Data bricks. I have even included lessons on building reports using Power BI on the data processed by the Azure Data Factory data pipelines.

Who this course is for:

  • Any one who wants to learn and get hands on azure data factory and data bricks
  • Any one looking for job change in the data engineering field
  • Anyone who wants to learn AWS Server less technologies for data and analytics should take this course

Goals

  • Confidently work with AWS Serverless services to develop Data Catalogue, ETL, Analytics on a Data Lake

  • Build a serverless data lake on AWS using structured and unstructured data

  • By end of this course you will be able to develop pipeline in azure data factory

  • how to perform transformation in azure data factory

  • you will learn how to develop incremental load pipeline

  • you will be able to understand about databricks architecture and how to use

  • Industry level SCD type-1,type-2 projects

  • Failure handling and debug pipeline and learn about email alerts and all

Prerequisites

  • Good to have Azure and AWS Account for the practical lab

  • Good internet and laptop/desktop

  • Willing to learn

Learn Azure data factory and AWS GLUE (ETL)

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction
1 Lectures
  • play icon Introduction 00:48 00:48
DEMO PROJECT
2 Lectures
Tutorialspoint
AWS GLUE
11 Lectures
Tutorialspoint
AWS (ATHENA)
8 Lectures
Tutorialspoint
ADF (COPY & DELETE activities)
8 Lectures
Tutorialspoint
ADF ( SQL TO BLOB)
6 Lectures
Tutorialspoint
ADF (CSV file to SQL table data pipeline)
3 Lectures
Tutorialspoint
ADF (TRANSFORMATION)
7 Lectures
Tutorialspoint
ADF (INCREMENTAL LOAD)
3 Lectures
Tutorialspoint
ADF (Parameterization )
4 Lectures
Tutorialspoint
ADF( SCD TYPE-1 & SCD TYPE 2)
6 Lectures
Tutorialspoint
ADF (FAILURE)
2 Lectures
Tutorialspoint
SQL
22 Lectures
Tutorialspoint

Instructor Details

manish tiwari

manish tiwari


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