Source: https://www.udemy.com/course/data-engineering-vol-1-aws/
What you’ll learn
- Understand Data Engineering (Volume 1) on AWS using S3, Redshift, Athena and Hive
- Know Redshift, S3 and Athena up to Level 350+ with HANDS-ON
- Production level projects and hands-on to help candidates provide on-job-like training
- Get access to datasets of size 100 GB – 200 GB and practice using the same
- Learn Python for Data Engineering with HANDS-ON (Functions, Arguments, OOP (class, object, self), Modules, Packages, Multithreading, file handling etc.
- Learn SQL for Data Engineering with HANDS-ON (Database objects, CASE, Window Functions, CTE, CTAS, MERGE, Materialized View etc.)
Requirements
- Good to have AWS and SQL knowledge
It’s not my rip
Download Links
Password: cms.ddpanda.org
- 📁 Data Engineering on AWS Vol 1 – OLAP & Data Warehouse.part1.rar – 3.8 GB
- 📁 Data Engineering on AWS Vol 1 – OLAP & Data Warehouse.part2.rar – 3.8 GB
- 📁 Data Engineering on AWS Vol 1 – OLAP & Data Warehouse.part3.rar – 3.8 GB
- 📁 Data Engineering on AWS Vol 1 – OLAP & Data Warehouse.part4.rar – 3.8 GB
- 📁 Data Engineering on AWS Vol 1 – OLAP & Data Warehouse.part5.rar – 2.6 GB












