Udemy - Data Engineering for Beginner using Google Cloud & Python

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[ TutGator.com ] Udemy - Data Engineering for Beginner using Google Cloud & Python
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Welcome to This Course.mp4 (7.9 MB)
    • 1. Welcome to This Course.srt (2.0 KB)
    • 2. Course Structure & Coverage.mp4 (21.1 MB)
    • 2. Course Structure & Coverage.srt (4.3 KB)
    • 3. How To Get Maximum Value From This Course.mp4 (26.6 MB)
    • 3. How To Get Maximum Value From This Course.srt (6.0 KB)
    10. Data Lake
    • 1. Data Lake Overview.mp4 (52.4 MB)
    • 1. Data Lake Overview.srt (14.3 KB)
    • 2. Schema On Read.mp4 (28.7 MB)
    • 2. Schema On Read.srt (3.7 KB)
    • 3. Lake, not Swamp.mp4 (60.7 MB)
    • 3. Lake, not Swamp.srt (17.0 KB)
    11. Resources & References
    • 1. Source Code & Datasets Download.html (0.6 KB)
    • 2. Bonus & DIscount Codes.html (10.1 KB)
    2. Introduction to Data Engineering
    • 1. What is Data Engineering.mp4 (40.5 MB)
    • 1. What is Data Engineering.srt (8.4 KB)
    • 2. Data Engineering Example.mp4 (6.1 MB)
    • 2. Data Engineering Example.srt (3.5 KB)
    • 3. What is Data Modelling.mp4 (17.2 MB)
    • 3. What is Data Modelling.srt (4.7 KB)
    3. Database
    • 1. What is Database.mp4 (10.9 MB)
    • 1. What is Database.srt (2.9 KB)
    • 2. Relational Database.mp4 (94.4 MB)
    • 2. Relational Database.srt (21.8 KB)
    • 3. When Not To Use Relational Database.mp4 (36.1 MB)
    • 3. When Not To Use Relational Database.srt (9.5 KB)
    • 4. NoSQL Database.mp4 (24.5 MB)
    • 4. NoSQL Database.srt (5.8 KB)
    • 5. Demo Postgresql.mp4 (81.5 MB)
    • 5. Demo Postgresql.srt (10.5 KB)
    • 6. Demo Python for Postgresql.mp4 (37.9 MB)
    • 6. Demo Python for Postgresql.srt (3.0 KB)
    • 7. Demo Elasticsearch.mp4 (50.9 MB)
    • 7. Demo Elasticsearch.srt (6.0 KB)
    • 8. Demo Python for Elasticsearch.mp4 (27.0 MB)
    • 8. Demo Python for Elasticsearch.srt (2.7 KB)
    4. Relational Database Model
    • 1. The Importance of Relational Data Model.mp4 (5.8 MB)
    • 1. The Importance of Relational Data Model.srt (1.9 KB)
    • 10. Denormalization Python Demo.mp4 (44.3 MB)
    • 10. Denormalization Python Demo.srt (6.6 KB)
    • 11. Fact & Dimension Tables.mp4 (15.8 MB)
    • 11. Fact & Dimension Tables.srt (4.2 KB)
    • 12. Star Schema.mp4 (13.8 MB)
    • 12. Star Schema.srt (3.0 KB)
    • 13. Star Schema Python Demo.mp4 (28.7 MB)
    • 13. Star Schema Python Demo.srt (3.7 KB)
    • 14. Snowflake Schema.mp4 (12.8 MB)
    • 14. Snowflake Schema.srt (2.7 KB)
    • 15. Galaxy Schema.mp4 (9.7 MB)
    • 15. Galaxy Schema.srt (2.5 KB)
    • 16. Extract Transform Load (ETL) & Staging Tables.mp4 (33.8 MB)
    • 16. Extract Transform Load (ETL) & Staging Tables.srt (8.0 KB)
    • 17. ETL & Staging Tables - Demo Overview.mp4 (18.5 MB)
    • 17. ETL & Staging Tables - Demo Overview.srt (3.5 KB)
    • 18. ETL & Staging Tables - Python Demo 1.mp4 (22.5 MB)
    • 18. ETL & Staging Tables - Python Demo 1.srt (2.1 KB)
    • 19. ETL & Staging Tables - Python Demo 2.mp4 (98.5 MB)
    • 19. ETL & Staging Tables - Python Demo 2.srt (9.5 KB)
    • 2. OLTP vs OLAP.mp4 (16.0 MB)
    • 2. OLTP vs OLAP.srt (3.5 KB)
    • 20. To Insert or To Update.mp4 (14.9 MB)
    • 20. To Insert or To Update.srt (3.4 KB)
    • 21. ETL & Staging Tables - Python Demo 3.mp4 (49.9 MB)
    • 21. ETL & Staging Tables - Python Demo 3.srt (5.9 KB)
    • 22. ETL & Staging Tables - Python Demo 4.mp4 (56.3 MB)
    • 22. ETL & Staging Tables - Python Demo 4.srt (6.8 KB)
    • 23. ETL & Staging Tables - Tips.mp4 (6.0 MB)
    • 23. ETL & Staging Tables - Tips.srt (1.8 KB)
    • 3. Database Normalization.mp4 (17.7 MB)
    • 3. Database Normalization.srt (3.3 KB)
    • 4. First Normal Form (1NF).mp4 (9.3 MB)
    • 4. First Normal Form (1NF).srt (4.0 KB)
    • 5. Second Normal Form (2NF).mp4 (45.7 MB)
    • 5. Second Normal Form (2NF).srt (10.5 KB)
    • 6. Third Normal Form (3NF).mp4 (6.8 MB)
    • 6. Third Normal Form (3NF).srt (1.7 KB)
    • 7. Normalization Python Demo.mp4 (28.4 MB)
    • 7. Normalization Python Demo.srt (2.7 KB)
    • 8. Normalization Tips.mp4 (26.3 MB)
    • 8. Normalization Tips.srt (5.6 KB)
    • 9. Database Denormalization.mp4 (22.6 MB)
    • 9. Database Denormalization.srt (5.0 KB)
    5. NoSQL Database Model
    • 1. Basic NoSQL Concept.mp4 (16.8 MB)
    • 1. Basic NoSQL Concept.srt (4.0 KB)
    • 2. CAP Theorem.mp4 (11.2 MB)
    • 2. CAP Theorem.srt (2.5 KB)
    • 3. Denormalization on Elasticsearch.mp4 (13.5 MB)
    • 3. Denormalization on Elasticsearch.srt (3.1 KB)
    • 4. Elasticsearch Basic Usage.mp4 (27.9 MB)
    • 4. Elasticsearch Basic Usage.srt (6.3 KB)
    • 5. Elasticsearch Index & Document.mp4 (13.8 MB)
    • 5. Elasticsearch Index & Document.srt (3.8 KB)
    • 6. Elasticsearch ETL - Overview.mp4 (30.4 MB)
    • 6. Elasticsearch ETL - Overview.srt (8.2 KB)
    • 7. Elasticsearch Query DSL.mp4 (9.0 MB)
    • 7. Elasticsearch Query DSL.srt (2.3 KB)
    • 8. Elasticsearch ETL - Python Demo.mp4 (37.5 MB)
    • 8. Elasticsearch ETL - Python Demo.srt (4.4 KB)
    6. Data Warehouse
    • 1. Business Perspective.mp4 (41.2 MB)
    • 1. Business Perspective.srt (9.5 KB)
    • 10. Demo 3 - Data Warehouse Operations.mp4 (27.9 MB)
    • 10. Demo 3 - Data Warehouse Operations.srt (3.0 KB)
    • 2. Technical Perspective.mp4 (46.0 MB)
    • 2. Technical Perspective.srt (10.5 KB)
    • 3. More Fact & Dimension Table.mp4 (29.4 MB)
    • 3. More Fact & Dimension Table.srt (13.9 KB)

Description

Data Engineering for Beginner using Google Cloud & Python



https://TutGator.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 76 lectures (7h 40m) | Size: 2 GB
Basic data engineering : python, pandas, google cloud platform (GCP) bigquery, spark on dataproc, gcs, data warehouse
What you'll learn:
Basic data engineering, what is data engineering, why needed, how to do it from zero
Relational database model, database modelling for normalization design & hands-on using postgresql & python / pandas
NoSQL database model, denormalization design & hands-on using elasticsearch & python / pandas
Introduction to spark & spark cluster using google cloud platform

Requirements
Understanding basic sql statements (select, insert, update, delete is sufficient)
Understanding basic python / pandas
The course uses google cloud platform. If you wants to do hands-on, you need to provide credit card detail for payment on google cloud. If you don't, you can still watch the course video

Description
"Data is the new oil".

You might have heard the quote before. Data in digital era is as valuable as oil in industrial era. However, just like oil, raw data itself is not usable. Rather, the value is created when it is gathered completely and accurately, connected to other relevant data, and done so in a timely manner.



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Udemy - Data Engineering for Beginner using Google Cloud & Python

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2.5 GB
seeders:8
leechers:6
Udemy - Data Engineering for Beginner using Google Cloud & Python

Torrent hash: 94F303DF7A1C023A2DC281112B6A8CBE04D78358