| 1. AWS GLUE PROJECT.mp4 | 167.3 MB | ||
| 1. Athena Introduction.mp4 | 14.3 MB | ||
| 1. INTRODUCTION.mp4 | 4.6 MB | ||
| 1. Introduction -SCD TYPE-1.mp4 | 19.8 MB | ||
| 1. Introduction ETL.mp4 | 7.5 MB | ||
| 1. Introduction and business use case.mp4 | 4.2 MB | ||
| 1. Introduction- 2 azure blob storage to output.mp4 | 7.7 MB | ||
| 1. Introduction- s3 to azure blob data pipeline.mp4 | 6.1 MB | ||
| 1. Introduction.mp4 | 8.2 MB | ||
| 1. introduction and business use case.mp4 | 7.1 MB | ||
| 10. PROJECT -1 END TO END REAL TIME PROJECT (GLUE+S3+LAMBDA).mp4 | 129 MB | ||
| 10. sorting.mp4 | 17.3 MB | ||
| 11. PROJECT -2 END TO END REAL TIME PROJECT PARTITIONING.mp4 | 93.8 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 MB | ||
| 18. store procedure -1.mp4 | 15.3 MB | ||
| 19. store procedure -2.mp4 | 27.8 MB | ||
| 2. ADF PROJECT.mp4 | 277.7 MB | ||
| 2. Course Curriculum.mp4 | 17.2 MB | ||
| 2. PIPELINE.mp4 | 52.5 MB | ||
| 2. SETUP -SCD TYPE-1.mp4 | 65.7 MB | ||
| 2. SETUP- 2 azure blob storage to output.mp4 | 29.8 MB | ||
| 2. SETUP.mp4 | 2.2 MB | ||
| 2. Setup- s3 to azure blob data pipeline.mp4 | 3.7 MB | ||
| 2. WHAT IS GLUE.mp4 | 10.1 MB | ||
| 2. how athena works.mp4 | 4.1 MB | ||
| 2. project setup lab.mp4 | 65.7 MB | ||
| 2. setup lab.mp4 | 62.4 MB | ||
| 2. setup theory.mp4 | 2.3 MB | ||
| 2. sql commands.mp4 | 23 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. Data pipeline.mp4 | 110 MB | ||
| 3. GLUE BENEFITS.mp4 | 7.1 MB | ||
| 3. PIPELINE -SCD TYPE-1.mp4 | 98.1 MB | ||
| 3. SETUP LAB.mp4 | 66.8 MB | ||
| 3. create data pipeline.mp4 | 59.7 MB | ||
| 3. create table.mp4 | 53.9 MB | ||
| 3. project create data pipeline.mp4 | 34.9 MB | ||
| 3. setup lab - s3 to azure blob data pipeline.mp4 | 53.2 MB | ||
| 3. setup lab.mp4 | 65.7 MB | ||
| 3. who is athena for and prereqisite.mp4 | 11.3 MB | ||
| 4. DATA PIPELINE.mp4 | 37.8 MB | ||
| 4. GLUE USE CASE.mp4 | 8.4 MB | ||
| 4. Introduction - Union.mp4 | 4.9 MB | ||
| 4. Introduction -SCD TYPE-2.mp4 | 37.3 MB | ||
| 4. alter.mp4 | 23.7 MB | ||
| 4. create data pipeline.mp4 | 82.2 MB | ||
| 4. difference between sql server and athena.mp4 | 13.7 MB | ||
| 4. pipeline- s3 to azure blob data pipeline.mp4 | 81.8 MB | ||
| 5. GLUE TERMINOLOGY.mp4 | 16.3 MB | ||
| 5. Introduction - blob to blob (copy & delete).mp4 | 7.1 MB | ||
| 5. LAB-1 athena create table by crawler.mp4 | 80 MB | ||
| 5. SETUP -SCD TYPE-2.mp4 | 65.7 MB | ||
| 5. SQL table specific columns transfer to azure blob.mp4 | 8.9 MB | ||
| 5. create data pipeline.mp4 | 91.3 MB | ||
| 5. filter.mp4 | 30.8 MB | ||
| 6. Alter & filter.mp4 | 6.5 MB | ||
| 6. Data Pipeline.mp4 | 80.1 MB | ||
| 6. GLUE ARCHITECTURE.mp4 | 10.9 MB | ||
| 6. Lab -2 create table without crawler and directly from s3.mp4 | 25.7 MB | ||
| 6. PIPELINE -SCD TYPE-2.mp4 | 135.2 MB | ||
| 6. Setup - blob to blob (copy & delete).mp4 | 2.8 MB | ||
| 6. delete drop.mp4 | 20.3 MB | ||
| 7. GLUE DEMO LAB.mp4 | 131.5 MB | ||
| 7. Project -1 superstore data analysis by using athena.mp4 | 76.7 MB | ||
| 7. Setup Lab - blob to blob (copy & delete).mp4 | 32.8 MB | ||
| 7. create data pipeline.mp4 | 93 MB | ||
| 7. group by & having.mp4 | 31.9 MB | ||
| 8. GLUE TRANSFORMATION LAB.mp4 | 170.2 MB | ||
| 8. Project -2 Partitioning using athena.mp4 | 52.5 MB | ||
| 8. aggregate funcion.mp4 | 14.3 MB | ||
| 8. pipeline blob to blob (copy & delete).mp4 | 63.6 MB | ||
| 9. GLUE TANSFORMATION LAB - MULTIPLE SOURCE.mp4 | 114.7 MB | ||
| 9. update delete.mp4 | 14.3 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| StatewiseTestingDetails.csv | 608.3 KB | ||
| covid_19_india.csv | 981.9 KB | ||
| covid_vaccine_statewise.csv | 881.5 KB | ||
| emp_1.csv | 102.4 B | ||
| emp_11.csv | 102.4 B | ||
| emp_2.csv | 0 B | ||
| employee1.csv | 204.8 B | ||
| employee2.csv | 204.8 B | ||
| employee3.csv | 204.8 B | ||
| sales_data_sample.csv | 520.1 KB | ||
| superstore.csv | 2.2 MB | ||
| ▲ 97 total files | |||
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
| torrent name | size | uploader | age | seed | leech |
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| 1.8 GB | freecoursewb | 3 weeks | 9 | 3 | |
| 803.9 MB | freecoursewb | 3 weeks | 15 | 15 | |
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Udemy - Power BI Full Course - Learn Power BI from Scratch to Advance Posted by
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