Welcome, data engineers! Today, we delve into the world of cloud-based data pipelines, the backbone of efficient data movement within your organization. As a continuation of our Data Engineering Process Fundamentals series, this session equips you with the knowledge to build robust and scalable data pipelines leveraging the power of the cloud. Throughout this presentation, we'll explore the benefits of cloud-based solutions, delve into key design considerations, and unpack the process of building and optimizing your very own data pipeline in the cloud.

This event is both online and in-person event, part of the SQL Saturday Jacksonville Conference.

This session guides you through the essential stages of building a cloud-based data pipeline:

Agenda:

• Discovery: We'll embark on a journey of discovery, identifying data sources, understanding business needs, and defining the scope of your data pipeline.
• Design and Planning: Here, we'll transform insights into a well-defined blueprint. We'll discuss architecture considerations, data flow optimization, and technology selection for your cloud pipeline.
• Data Pipeline and Orchestration: Get ready to orchestrate the magic! This stage delves into building the pipeline itself, selecting the right tools, and ensuring seamless data movement between stages.
• Data Modeling and Data Warehouse: Data needs a proper home! We'll explore data modeling techniques and the construction of a robust data warehouse in the cloud, optimized for efficient analysis.
• Data Analysis and Visualization: Finally, we'll unlock the power of your data. Learn how to connect your cloud pipeline to tools for insightful analysis and compelling data visualizations.

Why Attend:

• Process Power: Learn a structured, process-oriented approach to building and managing efficient cloud data pipelines.
• Data to Insights: Discover how to unlock valuable information from your data using Python for data analysis.
• The Art of Visualization: Master the art of presenting your data insights through compelling data visualizations.
• Future-Proof Your Skills: Gain in-demand cloud data engineering expertise, including data analysis and visualization techniques.