Data Engineering Fundamentals with Prefect Workflow

🌟 Unlock the Power of Data with Prefect on Oracle Cloud Infrastructure 🌟

Course Overview: Data Engineering Fundamentals with Prefect

Data engineering is at the heart of modern data analytics. It's about crafting robust systems that turn raw, disparate data into actionable insights. This course takes you on a journey through the core concepts of data engineering and shows you how to harness the power of Prefect, a cutting-edge workflow management tool, in conjunction with Oracle Cloud Infrastructure (OCI).

Why Study Data Engineering Fundamentals with Prefect?

• Understand the Role: Learn about the pivotal role data engineering plays in enabling businesses to make informed decisions based on comprehensive data analysis.
• Evolve with Data Trends: Transition from traditional relational databases to handling structured and unstructured data sources alike, including CSV, webhooks, HTTP, and MQTT.
• Master Data Pipelines: Explore the evolution of ETL processes into dynamic data pipelines that can adapt to real-time events and triggers.
• Leverage Prefect: Discover how Prefect, a versatile data pipeline tool, enables you to build workflows that are both event-triggered and dependency-driven.

Key Learning Topics:

1. Data Engineering vs Data Analysis vs Data Science:

• Understand the differences and synergies among these critical roles in the realm of data.

2. Overview of Data Science, Machine Learning, and Data Analytics:

• Gain a broad perspective on the fields driving data-driven decision-making.

3. ETL vs Data Pipelines:

• Compare the traditional Extract, Transform, Load process with modern data pipelines.

4. Provisioning Oracle Linux Virtual Machine on OCI:

• Learn how to set up your virtual machine environment for the course exercises.

5. Prefect Cloud Data Pipeline and Client VM Setup:

• Get hands-on experience with deploying Prefect in a cloud environment.

6. Documentation Reference - Prefect Workflow / Data Pipelines:

• Familiarize yourself with the official documentation to enhance your understanding.

7. Hands-On Demonstration of Prefect Flow with Task Dependencies:

• Engage with real-world examples and practice building complex dataflows.

8. Building a Dataflow Pipeline for Oracle Database Extract Using Python:

• Learn to extract data from an Oracle database using Python scripts within your Prefect workflow.

9. Introduction to Webhooks and Hands-On Demonstration with Prefect & Github:

• Understand how to integrate webhooks into your Prefect workflows for event-driven automation.

10. Career Path for Data Engineers:

• Explore the various career opportunities available in the field of data engineering.

Who Should Take This Course?

This course is designed for:

• Aspiring and experienced Data Engineers who want to deepen their understanding of data pipeline design and deployment using Prefect on OCI.
• Data Analysts and Data Scientists looking to expand their skillset into data engineering.
• IT Professionals interested in cloud technologies, especially those utilizing Oracle Cloud Infrastructure services.
• Individuals aiming for a career transition into the field of data engineering.

Get Ready to Dive Deep into Data Engineering!

With this comprehensive course, you'll gain practical knowledge and skills that will empower you to build sophisticated data pipelines using Prefect on Oracle Cloud Infrastructure. Whether you're a seasoned professional or just starting out, this course is your gateway to mastering modern data engineering practices and technologies. 🚀

Join us and transform the way you handle data! 🎓✨