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Learn Azure Data Factory With 15+ Real Time Based Projects - mitsumi - 10-05-2024 Learn Azure Data Factory With 15+ Real Time Based Projects Last updated 8/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 2.92 GB | Duration: 7h 24m 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 Requirements Good to have Azure Account for the practical lab Good internet and laptop/desktop Willing to learn 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 factory 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) 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 factoryI have also included lessons on the storage blob Storage, amazon s3 , Azure SQL Database etc. Also, there are lessons on 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 databricks2. Any one looking for job change in the data engineering field3. Any one who is having knowledge about analytics4. Any one who wats to gain knowledge about industry level Business usecase. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Course curriculam Section 2: Project 1 : Amazon s3 to azure blob data pipeline Lecture 3 Introduction and business use case Lecture 4 Project Setup Lecture 5 Project setup lab Lecture 6 Project data pipeline lab Section 3: Project 2 : azure blob to another azure blob data pipeline Lecture 7 Introduction and Business Use Case Lecture 8 project setup theory Lecture 9 project setup lab Lecture 10 Project data pipeline lab Section 4: Project 3 : azure sql database to azure blob data pipeline Lecture 11 Introduction and business usecase Lecture 12 project setup theory Lecture 13 project setup lab Lecture 14 project data pipeline creation Section 5: project 4 sql table specific columns transfer to azure blob data pipeline Lecture 15 Introduction and business use case Lecture 16 project setup theory Lecture 17 project setup lab Lecture 18 project create data pipeline Section 6: project 5 : azure blob csv file to azure sql table data pipeline Lecture 19 Introduction and business usecase Lecture 20 project setup lab Lecture 21 project create data pipeline Section 7: project 6 : From 2 azure blob storage to output azure blob Lecture 22 Introduction and business use case Lecture 23 project setup lab Lecture 24 project create data pipeline Section 8: project 7 : 2 azure blob union + transformation to azure blob container Lecture 25 Introduction and business usecase Lecture 26 project setup lab Lecture 27 project create data pipeline Section 9: project 8 : dataflow transformation pipeline Lecture 28 Introduction and business use case Lecture 29 project setup lab Lecture 30 project create data pipeline Section 10: project 9 : Incremental data loading Lecture 31 introduction and business use case Lecture 32 project setup lab Lecture 33 project create data pipeline Section 11: project 10 parameterization project Lecture 34 introduction and business use case Lecture 35 project setup theory Lecture 36 project setup lab Lecture 37 project create data pipeline Section 12: project 11 : SCD type 1 implementation real time project Lecture 38 Introduction Lecture 39 project setup theory Lecture 40 project setup lab Lecture 41 project create data pipeline scd type 1 Section 13: project 12: SCD type 2 implementation real time project Lecture 42 Introduction Lecture 43 project setup lab Lecture 44 project setup lab Lecture 45 project : create data pipeline scd type 2 Section 14: project 13: data pipeline failure monitoring and email send Lecture 46 Introduction Lecture 47 project setup lab Lecture 48 project implementaion Section 15: Databricks Introduction and architecture Lecture 49 What is data bricks and architecture Lecture 50 databricks overview and account creation Section 16: project 14 ADF + DATA BRICKS + TABLEAU PROJECT Lecture 51 PROJECT IMPLEMETATION Section 17: Project 15 : covid dataset analysis in databricks Lecture 52 mount amazon s3 to databricks and project implementation Section 18: Project 16 : superstore dataset analysis in databricks Lecture 53 project 16: superstore dataset datbricks project Section 19: project 17 pyspark based project Lecture 54 pyspark real time project 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 Screenshots rapidgator.net: ddownload.com: |