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

Database Management

IBM WebSphere MQ

Data Infrastructure

Apache Airflow

Database Systems

Operational Databases

Performance Tuning

Real Time Data

Data Architecture

Dataflow

Data Pipelines

MySQL

Performance Analysis

Scalability

Workflow Management

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