03 — Curriculum
Course content
6 sections · 36 lectures
Introduction to Data Engineering
Preview6m
Fundamentals of Database Systems
18m
ETL vs ELT: Concepts and Design Patterns
9m
Understanding Batch and Stream Data Processing
0
Introduction to the Big Data Landscape
15m
Practical Implementation with Apache Hadoop
15m
Data Flow Scripting with Apache Pig
5m
Understanding OLTP vs OLAP systems
6m
Data Warehousing vs Data Lake Architectures
10m
File Formats for Big Data
0
Strategies for Data Partitioning
0
Performance Tuning with Bucketing & Clustering
0
Data Modeling Techniques
7m
SQL for Data Engineering
18m
Relational Data Management with PostgreSQL
10m
NoSQL Data Modeling with MongoDB
28m
Visual Data Exploration with MongoDB Compass
9m
Getting Started with Building Data Pipelines
12m
Distributed Computing with MapReduce
7m
Large-scale Data Processing with Apache Spark
17m
Event-Driven Data Streaming with Apache Kafka
15m
Workflow Management and Orchestration with Apache Airflow
0
Stream Processing with Apache Flink
0
Introduction to Cloud-based Data Warehouses
9m
Leveraging Managed Spark for Scalable Processing
18m
Designing Cloud-based Data Pipelines with AWS
18m
Delta Lake Implementation on AWS S3
14m
Serverless Architecture in Data Engineering
0
Modern Cloud-native Storage Solutions
0
Data Engineering in the Modern Stack
0
Governance Practices for Reliable Data Models
10m
Data Quality Frameworks
0
Data Lineage, Monitoring, and Observability Tools
0
Ensuring Data Privacy and Regulatory Compliance
0
Data Contracts & Schema Evolution
0
Feedback and Continuous Improvement
0
