![]() Data analysts and scientists who want to streamline their data processing workflow.Entrepreneurs looking to leverage data for business growth.Developers seeking to build scalable and efficient ETL pipelines.The choice is yours - will you seize this opportunity to deliver massive benefits to your company or clients, and claim your fair share of the rewards? Who this course is for: With a few simple clicks, even non-technical individuals will be able to create stunning, powerful visualizations that unlock the full potential of your data.īy the end of this course, you'll have a comprehensive understanding of the tools used and how they work together, empowering you to provide tangible benefits to your clients or company from day one, measured in thousands or tens of thousands of dollars. In the final section of this course, you'll bring your preprocessed data to life with Metabase. In this section, you will also learn a few tricks to speed up and optimize processing, such as parallelization or streamed processing. In the following section, we will wrap the business logic with Dagster operations and jobs, then deploy them to Dagster Cloud (self-hosted option also available), which will allow you to manage everything from a single, unified view. ![]() We will implement the processing logic in Deepnote, then commit it to a Git repository that will be shared with Dagster. Once we have the data, the course will dive into data exploration and preprocessing techniques using Python and SQL in Deepnote, including cleaning and normalizing data from various sources such as relational and JSON data, Excel sheets, and more. In the next part, we will get started by generating dummy sales data of a hypothetical company using Deepnote. While the course will introduce you to the relevant features of Deepnote and Metabase, it is mostly focused on Dagster. Metabase, as a low-code data visualization platform In the first part of the course, I will walk you through the architecture and introduce you to the tools we will be using:ĭeepnote, as a setup-free development environment With infrastructure costs under $50 a month, you can start seeing immediate results and return on investment for your clients or company. You will learn how to extract data, explore and preprocess it, and ultimately visualize it to support better decision-making and optimize business processes.įorget about big data and cluster management headaches, this course is designed to get you up and running quickly with a real-time ETL pipeline. This course teaches you how to build a system that collects data from multiple sources, normalizes it, and stores it in a consistent and accessible format. Create powerful data visualizations using Metabase.ĭo you struggle with making data-driven decisions for your business due to scattered, inconsistent, and inaccessible data? This course is the solution! Learn to build a streamlined and efficient ETL pipeline that will allow you to turn data into actionable insights.Optimize processing through techniques such as parallelization or streamed processing.Deploy your pipeline to Dagster Cloud (serverless).Integrate the processing logic into a scalable ETL pipeline with Dagster.Set up Dagster to orchestrate your data pipeline.Clean and normalize data from various sources, such as relational databases, JSON.Learn data exploration and preprocessing techniques using Python and SQL.Generate realistic development data for analysis and visualization.Use Deepnote as a data engineering development environment.Gain familiarity with tools such as Deepnote, Dagster, and Metabase.Turn messy, real-world data into actionable insights.Data Engineering for Empowered Business Decisions: ETL, Exploration & Visualization What you'll learn
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