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One shot video for Fundamentals of Data Engineering, you will learn important concepts for data engineering to kick-start your career, these the core topics you must know to become a data engineer.

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Timestamps
0:00 Introduction
1:19 What is Data Engineering?
17:01 Data Engineering Lifecycle
27:17 Data Generation vs Storage
30:20 Database Management System
34:23 Data Modelling
43:48 NoSQL Databases
44:49 SQL vs NoSQL
46:17 Storage processing (OLAP vs OLTP)
57:26 ETL (Extract Transform Load)
59:12 Data Engineering Undercurrents
1:05:16 Data Architecture 101 Complete Guide
1:27:35 Data Warehouse
1:33:21 Dimensional Modelling
1:40:34 Slowly Changing Dimensions
1:47:58 Data Marts
1:52:01 Data Lake
1:56:30 Data Lake vs Data Warehouse
2:01:41 Big Data Landscape
2:03:16 Cloud Computing
2:09:00 AWS Data Engineering Services
2:17:33 Case Study - AWS Data Engineering
2:25:57 GCP Data Engineering & Case Study
2:27:07 Azure Data Engineering & Case Study
2:32:32 Modern Data Architecture
2:37:32 Important Skills for Data Engineering
2:40:17 Top Data Warehouse Tools
2:41:49 Top Data Processing Tools
2:42:35 Data Orchestration Tools
2:43:33 Modern Data Stack
2:45:20 Python, SQL, DW, Spark, Airflow for Data Engineering
2:51:40 Data Security
2:52:46 Data Masking
2:53:41 Important File Formats
2:53:49 Suggestion for Part 2
2:54:58 Data Engineering Course(14 Projects) Combo Offer

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