Udemy - Learn Azure data factory and AWS GLUE (ETL)

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[ DevCourseWeb.com ] Udemy - Learn Azure data factory and AWS GLUE (ETL)
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction.mp4 (2.1 MB)
    • 2. Course Curriculum.mp4 (17.2 MB)
    10. ADF (Parameterization )
    • 1. introduction and business use case.mp4 (7.5 MB)
    • 2. setup theory.mp4 (2.3 MB)
    • 3. setup lab.mp4 (65.7 MB)
    • 4. create data pipeline.mp4 (82.2 MB)
    11. ADF( SCD TYPE-1 & SCD TYPE 2)
    • 1. Introduction -SCD TYPE-1.mp4 (19.8 MB)
    • 2. SETUP -SCD TYPE-1.mp4 (65.7 MB)
    • 3. PIPELINE -SCD TYPE-1.mp4 (98.1 MB)
    • 4. Introduction -SCD TYPE-2.mp4 (37.3 MB)
    • 5. SETUP -SCD TYPE-2.mp4 (65.7 MB)
    • 6. PIPELINE -SCD TYPE-2.mp4 (135.2 MB)
    12. ADF (FAILURE)
    • 1. INTRODUCTION.mp4 (4.6 MB)
    • 2. PIPELINE.mp4 (52.5 MB)
    13. SQL
    • 1. Introduction.mp4 (38.2 MB)
    • 10. sorting.mp4 (17.3 MB)
    • 11. between & in.mp4 (15.4 MB)
    • 12. like.mp4 (11.3 MB)
    • 13. distinct.mp4 (7.7 MB)
    • 14. union vs union all.mp4 (16.3 MB)
    • 15. join in sql.mp4 (86.2 MB)
    • 16. case satement.mp4 (21.6 MB)
    • 17. view.mp4 (14.0 MB)
    • 18. store procedure -1.mp4 (15.3 MB)
    • 19. store procedure -2.mp4 (27.8 MB)
    • 2. sql commands.mp4 (23.0 MB)
    • 20. constrain in sql.mp4 (33.9 MB)
    • 21. constrain lab.mp4 (74.8 MB)
    • 22. row number, rank ,dense rank.mp4 (43.5 MB)
    • 3. create table.mp4 (53.9 MB)
    • 4. alter.mp4 (23.7 MB)
    • 5. filter.mp4 (30.8 MB)
    • 6. delete drop.mp4 (20.3 MB)
    • 7. group by & having.mp4 (31.9 MB)
    • 8. aggregate funcion.mp4 (14.3 MB)
    • 9. update delete.mp4 (14.3 MB)
    2. DEMO PROJECT
    • 1. AWS GLUE PROJECT.mp4 (167.3 MB)
    • 2. ADF PROJECT.mp4 (277.7 MB)
    • StatewiseTestingDetails.csv (608.3 KB)
    • covid_19_india.csv (981.9 KB)
    • covid_vaccine_statewise.csv (881.5 KB)
    • emp_1.csv (0.1 KB)
    • emp_11.csv (0.1 KB)
    • emp_2.csv (0.0 KB)
    • employee1.csv (0.2 KB)
    • employee2.csv (0.2 KB)
    • employee3.csv (0.2 KB)
    • sales_data_sample.csv (520.1 KB)
    • superstore.csv (2.2 MB)
    3. AWS GLUE
    • 1. Introduction ETL.mp4 (7.5 MB)
    • 10. PROJECT -1 END TO END REAL TIME PROJECT (GLUE+S3+LAMBDA).mp4 (129.0 MB)
    • 11. PROJECT -2 END TO END REAL TIME PROJECT PARTITIONING.mp4 (93.8 MB)
    • 2. WHAT IS GLUE.mp4 (10.1 MB)
    • 3. GLUE BENEFITS.mp4 (7.1 MB)
    • 4. GLUE USE CASE.mp4 (8.4 MB)
    • 5. GLUE TERMINOLOGY.mp4 (16.3 MB)
    • 6. GLUE ARCHITECTURE.mp4 (10.9 MB)
    • 7. GLUE DEMO LAB.mp4 (131.5 MB)
    • 8. GLUE TRANSFORMATION LAB.mp4 (170.2 MB)
    • 9. GLUE TANSFORMATION LAB - MULTIPLE SOURCE.mp4 (114.7 MB)
    4. AWS (ATHENA)
    • 1. Athena Introduction.mp4 (14.3 MB)
    • 2. how athena works.mp4 (4.1 MB)
    • 3. who is athena for and prereqisite.mp4 (11.3 MB)
    • 4. difference between sql server and athena.mp4 (13.7 MB)
    • 5. LAB-1 athena create table by crawler.mp4 (80.0 MB)
    • 6. Lab -2 create table without crawler and directly from s3.mp4 (25.7 MB)
    • 7. Project -1 superstore data analysis by using athena.mp4 (76.7 MB)
    • 8. Project -2 Partitioning using athena.mp4 (52.5 MB)
    5. ADF (COPY & DELETE activities)
    • 1. Introduction- s3 to azure blob data pipeline.mp4 (6.1 MB)
    • 2. Setup- s3 to azure blob data pipeline.mp4 (3.7 MB)
    • 3. setup lab - s3 to azure blob data pipeline.mp4 (53.2 MB)
    • 4. pipeline- s3 to azure blob data pipeline.mp4 (81.8 MB)
    • 5. Introduction - blob to blob (copy & delete).mp4 (7.1 MB)
    • 6. Setup - blob to blob (copy & delete).mp4 (2.8 MB)
    • 7. Setup Lab - blob to blob (copy & delete).mp4 (32.8 MB)
    • 8. pipeline blob to blob (copy & delete).mp4 (63.6 MB)
    6. ADF ( SQL TO BLOB)
    • 1. Introduction.mp4 (8.2 MB)
    • 2. SETUP.mp4 (2.2 MB)
    • 3. SETUP LAB.mp4 (66.8 MB)
    • 4. DATA PIPELINE.mp4 (37.8 MB)
    • 5. SQL table specific columns transfer to azure blob.mp4 (8.9 MB)
    • 6. Data Pipeline.mp4 (80.1 MB)
    7. ADF (CSV file to SQL table data pipeline)
    • 1. Introduction and business use case.mp4 (4.2 MB)
    • 2. project setup lab.mp4 (65.7 MB)
    • 3. project create data pipeline.mp4 (34.9 MB)
    8. ADF (TRANSFORMATION)
    • 1. Introduction- 2 azure blob storage to output.mp4 (7.7 MB)
    • 2. SETUP- 2 azure blob storage to output.mp4 (29.8 MB)
    • 3. Data pipeline.mp4 (110.0 MB)
    • 4. Introduction - Union.mp4 (4.9 MB)
    • 5. create data pipeline.mp4 (91.3 MB)
    • 6. Alter & filter.mp4 (6.5 MB)
    • 7. create data pipeline.mp4 (93.0 MB)
    9. ADF (INCREMENTAL LOAD)
    • 1. introduction and business use case.mp4 (7.1 MB)
    • 2. setup lab.mp4 (62.4 MB)
    • 3. create data pipeline.mp4 (59.7 MB)
    • Bonus Resources.txt (0.4 KB)

Description

Learn Azure data factory and AWS GLUE (ETL)



https://DevCourseWeb.com

Published 10/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 84 lectures (9h 48m) | Size: 3.8 GB

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

What you'll learn
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

Requirements
Good to have Azure and AWS Account for the practical lab
Good internet and laptop/desktop
Willing to learn



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Udemy - Learn Azure data factory and AWS GLUE (ETL)

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3.7 GB
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Udemy - Learn Azure data factory and AWS GLUE (ETL)

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