Course Introduction and Target

Topics discussed

In this lesson we are discussing the following topics:

1. Course target and goals.
2. Learning Objectives.
3. Our video classifications
4. Who should take this course?

Video

Content

Course Target

1. Data Management
2. Distributed System
3. Big Data Tools
4. Coding
5. Real world applications
6. Databases
7. DevOps

Learning Objectives and Audience

1. Ch.02 - Simplify the concepts in data management. Understand the data management life-cycle
2. Ch.03 - Illustrate the basics of distributed systems concepts.
3. Ch.04/06 - Be familiar with ETL for (batch/steaming) data over distributed systems ex: Hadoop & Spark
4. Ch.06/07 - Apply QA and testing the data.
5. Ch.07 - Building real-life examples.
6. Ch.06/07 - Applying machine learning over big data.
7. Ch.09/12 - Build and scale your data product.
8. Appx. H - Understanding of the DevOps tools and its functions in data life-cycle and development automation (e2e).

Other Chapters

Overview | Ch.02: Data Warehouse