Ementorhub

What you'll learn

Create and manage data pipelines and their lifecycle

Connect and work with message queues to manage data processing

Use vector, graph, and key/value databases for data storage at scale

Skills you'll gain

Real Time Data

Database Management

Apache Airflow

Workflow Management

Scalability

Middleware

Data Architecture

Data Pipelines

Data Warehousing

Data Infrastructure

Performance Analysis

Dataflow

Operational Databases

Data Transformation

Performance Tuning

Database Systems

MySQL

There are 4 modules in this course

Throughout the course, you'll master the application of technologies such as Celery with RabbitMQ for scalable data consumption, Apache Airflow for optimized workflow management, and Vector and Graph databases for robust data management at scale. The course will culminate with hands-on projects that offer real-world experience, where you'll put your acquired skills to test in solving data engineering challenges. You will not only learn to create scalable data systems but also to analyze their performance and make necessary adjustments for optimum results. This invaluable experience in advanced data engineering techniques will prepare you for the demanding tasks of handling massive datasets, streamlining complex workflows, and optimizing data operations for businesses of any scale.

Optimizing Workflow Management at Scale with Apache Airflow

Achieving Scalability with Vector, Graph, and Key/Value Databases

Real-world Advanced Data Engineering Projects