Learn Azure Data Factory with 15+ Real time based projects

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manish tiwari

7:24:17

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1 - Introduction

1 - Introduction.mp4

00:51

2 - Course curriculam.mp4

01:08

2 - Project 1 Amazon s3 to azure blob data pipeline

3 - Introduction and business use case.mp4

01:17

4 - Project Setup.mp4

01:06

5 - Project setup lab.mp4

08:44

6 - Project data pipeline lab.mp4

12:59

6 - source.zip

3 - Project 2 azure blob to another azure blob data pipeline

7 - Introduction and Business Use Case.mp4

01:24

8 - project setup theory.mp4

00:59

9 - project setup lab.mp4

05:30

10 - Project data pipeline lab.mp4

08:54

4 - Project 3 azure sql database to azure blob data pipeline

11 - Introduction and business usecase.mp4

01:31

12 - project setup theory.mp4

00:45

13 - project setup lab.mp4

09:41

14 - project data pipeline creation.mp4

05:10

5 - project 4 sql table specific columns transfer to azure blob data pipeline

15 - Introduction and business use case.mp4

01:39

16 - project setup theory.mp4

00:45

17 - project setup lab.mp4

09:41

18 - project create data pipeline.mp4

10:36

6 - project 5 azure blob csv file to azure sql table data pipeline

19 - Introduction and business usecase.mp4

01:05

20 - project setup lab.mp4

10:13

21 - project create data pipeline.mp4

05:12

7 - project 6 From 2 azure blob storage to output azure blob

22 - Introduction and business use case.mp4

01:46

23 - project setup lab.mp4

04:41

24 - project create data pipeline.mp4

16:24

8 - project 7 2 azure blob union transformation to azure blob container

25 - Introduction and business usecase.mp4

01:07

26 - project setup lab.mp4

04:41

27 - project create data pipeline.mp4

12:38

9 - project 8 dataflow transformation pipeline

28 - Introduction and business use case.mp4

01:27

29 - project setup lab.mp4

03:59

30 - project create data pipeline.mp4

13:18

10 - project 9 Incremental data loading

31 - introduction and business use case.mp4

01:48

32 - project setup lab.mp4

08:11

33 - project create data pipeline.mp4

07:46

11 - project 10 parameterization project

34 - introduction and business use case.mp4

01:44

35 - project setup theory.mp4

01:00

36 - project setup lab.mp4

10:13

37 - project create data pipeline.mp4

12:39

12 - project 11 SCD type 1 implementation real time project

38 - Introduction.mp4

03:47

39 - project setup theory.mp4

01:00

40 - project setup lab.mp4

10:13

41 - project create data pipeline scd type 1.mp4

13:44

13 - project 12 SCD type 2 implementation real time project

42 - Introduction.mp4

05:57

43 - project setup lab.mp4

01:00

44 - project setup lab.mp4

10:13

45 - project create data pipeline scd type 2.mp4

20:27

14 - project 13 data pipeline failure monitoring and email send

46 - Introduction.mp4

01:00

47 - project setup lab.mp4

10:13

48 - project implementaion.mp4

07:59

15 - Databricks Introduction and architecture

49 - What is data bricks and architecture.mp4

04:22

50 - databricks overview and account creation.mp4

09:49

16 - project 14 ADF DATA BRICKS TABLEAU PROJECT

51 - PROJECT IMPLEMETATION.mp4

46:24

51 - azure-data-engineering-project-1.zip

17 - Project 15 covid dataset analysis in databricks

52 - covide-dataset-aws-mounting.zip

52 - mount amazon s3 to databricks and project implementation.mp4

18:56

18 - Project 16 superstore dataset analysis in databricks

53 - azure-blob-mounting.zip

53 - project 16 superstore dataset datbricks project.mp4

30:29

19 - project 17 pyspark based project

54 - pyspark real time project.mp4

46:12

Description

Beginner level Azure Data Factory and databricks with 15+ industry based projects

What You'll Learn?

By end of this course you will be able to develop pipeline in azure data factory
how to perform transformation in azure data factory
how to work in real time based on Industry level business use case
you will learn how to develop incremental load pipeline
you will be able to debug pipelines and trigger mail when it will fail
you will be able to understand about databricks architecture and how to use
how to do data cleaning and develop business insight metrics and all
complete 15+ real time projects
you will learn how to do parameterization in data pipeline
Industry level SCD type-1 projects
Industry level SCD type-2 projects
Failure handling and debug pipeline and learn about email alerts and all

Who is this for?

Any one who wants to learn and get hands on azure data factory and databricks

Any one looking for job change in the data engineering field

Any one who is having knowledge about analytics

Any one who wats to gain knowledge about industry level Business usecase

Beginners can also be able to start career in azure data factory and databricks

What You Need to Know?

Good to have Azure Account for the practical lab

Good internet and laptop/desktop

Willing to learn

More details

Description
This course will target anyone who likes to learn azure data factory and databricks . 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 factoryÂ and databricks 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) andÂ 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 onÂ Azure Databricks. I have even included lessons on building reports using Power BI on the data processed by the Azure Data Factory data pipelines.
this course designed for
1. Any one who wants to learn and get hands on azure data factory and databricks
2. Any one looking for job change in the data engineering field
3. Any one who is having knowledge about analytics
4. Any one who wats to gain knowledge about industry level Business usecase.
Who this course is for:
Any one who wants to learn and get hands on azure data factory and databricks
Any one looking for job change in the data engineering field
Any one who is having knowledge about analytics
Any one who wats to gain knowledge about industry level Business usecase
Beginners can also be able to start career in azure data factory and databricks

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Microsoft Azure

manish tiwari

Instructor's Courses

Hi I am manish and I am a full time data engineer and having 5+ years of IT experiences delivering some of the large data projects for industries ranging from technology, security, finance, retail . The projects I delivered were both on cloud platforms such as Azure and AWS as well as On-premises.I have a passion for teaching and I take great pride in the success of my students. I have a different style of teaching than that of a standard I.T. trainer. My courses are based on real world projects. My courses will, not only explain the concepts, but also make them stick by using real world projects and examples. Throughout the course I give guidance on good practices and guide you towards building a production ready application. I strongly believe that once you have completed my courses you will have sufficient experience and knowledge required to start a real time project on that technology. Of course you may require further learning to progress in your career, but I will give you the required foundation and put you in the right direction to gain additional knowledge.I value your time as much as I do mine. So, I keep my courses to the point and my courses have been taught in simple English without any jargons.

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