Demystifying Data: From Atoms to AI - Your Fundamentals Course in Data Architecture for Data Science

This course provides a comprehensive overview of data architecture, exploring concepts essential for effective data management and analysis within an organization.

Course Content:
- Data Fundamentals: Understand core data concepts, storage, and processing.
- Data Products: Learn the differences and use cases of data warehouses, data lakes, and data lakehouses.
- Data Architecture: Explore methodologies like modern data warehouses, data fabrics, and data mesh.
- Data Science Integration: Examine how data science fits modern data architectures.
- Real-World Challenges: Address common challenges in building and managing data-driven solutions.

Ideal Audience:
- Data engineers, data architects, and data scientists.
- Professionals looking to optimize data storage, processing, and analysis.
- Anyone interested in understanding how data architectures support data-driven decision-making.

00:00 Course overview
01:30 From Atoms to Cloud Computing
04:57 Data Stores Simplified
07:04 Types of Data
09:23 Data Preparation (ETL and more)
12:10 Analytics Overview
15:04 Infrastructure Ownership
17:07 Data Warehouse Basics
19:57 Data Lake Basics
23:29 Data Lakehouse Basics
28:01 Modern Data Warehouse
29:30 Data Fabric Fundamentals
32:40 Data Mesh Absolute basics
37:00 Data Science and Data Warehouse
41:50 Data Science and Data Lake
43:45 Data Science and Data Lakehouse
45:00 Data Science and Data Fabric
46:53 Data Science and Data Mesh
48:34 Data Science Execution Challenges
50:18 Data Science Architecture Considerations
52:21 Confidential Computing Considerations
53:50 Data Science and Data Analytics
55:42 Top 10 Cloud Mistakes
57:39 Top 10 Hybrid Cloud Considerations
59:13 Top 10 Challenge while hiring Data Scientists
01:01:00 Digital Transformation Challenges
01:03:15 Technology Transformation Outsourcing Challenges
01:04:52 Conclusion