Data Engineering Projects: Free Course to Teach You Data Pipelining Skills
Data engineering stands at the forefront of today’s tech-driven world. This comprehensive course is designed to equip aspiring data engineers with the necessary skills to build efficient data pipelines. Through a series of three detailed projects, participants will gain hands-on experience in ETL (Extract, Transform, Load) processes, integrating various tools like Snowflake, DBT, and Tableau to handle complex data tasks efficiently.
The DE End-to-End Projects course offers a structured and immersive learning experience, emphasizing foundational concepts in data engineering while significantly enhancing practical skills. Participants will delve into a series of comprehensive projects, each designed to deepen their understanding of essential data engineering practices and tools. The course is structured to not only impart theoretical knowledge but also to provide real-world scenarios where these skills are applied, ensuring a well-rounded and industry-relevant learning experience.
ETL SCD1 using Snowflake
ETL SCD1, or Slowly Changing Dimensions Type 1, is a methodology used in data warehousing to manage the change in dimension attributes. It overwrites old data with new data, thereby maintaining only the latest information. Snowflake, a cloud-based data platform, is highly effective for this kind of ETL operation due to its unique architecture and scalability.
Setting Up the Environment
The environment setup is the first step in this project. It involves two main components:
|Customer DatasetFile Setup
|This involves preparing a dataset that will be used throughout the project.
|Snowflake and AWS Setup
|Participants will learn to configure Snowflake and set up its integration with AWS, laying the groundwork for data manipulation.
The implementation involves using Snowflake’s unique features:
- Snowflake Tasks: These automate data loading and transformation.
- Streams & Stored Procedures: These are utilized for real-time data processing and handling complex data workflows.
A step-by-step demonstration will showcase the application of these concepts, highlighting the practical aspects of managing and updating data in a Snowflake environment.
The DE End-to-End Projects course, available for free. For every step and project within the course, participants have access to detailed documentation and video explanations.
The documentation is carefully structured to guide learners through the theoretical aspects, setup procedures, implementation steps, and troubleshooting tips. These written materials are crafted to be easy to follow, ensuring learners can progress at their own pace while gaining a deep understanding of each topic.
Complementing the written documentation, the course offers in-depth video tutorials. These videos provide step-by-step explanations of the implementation process, giving learners a visual and practical perspective
Sign up and take the course for free now.
ETL SCD 2 using DBT & Snowflake
ETL SCD2 (Slowly Changing Dimensions Type 2) is more complex, involving tracking historical data over time. This section explores the integration of DBT (Data Build Tool) with Snowflake for efficient ETL SCD2 processes.
The setup process is divided as follows:
- Snowflake Setup: Preparing Snowflake for advanced ETL operations.
- DBT Integration: Learning how to integrate DBT with Snowflake for optimized data transformation. The DE End-to-End Projects course includes a detailed video breakdown focusing on the integration of DBT (Data Build Tool) with Snowflake for optimized data transformation. The tutorial is designed to help learners understand the nuances of using DBT in conjunction with Snowflake, highlighting best practices and strategies to enhance the efficiency and effectiveness of data transformation processes.
Implementation and Best Practices
This segment focuses on the actual implementation of ETL SCD2 using DBT and Snowflake, supplemented with industry best practices to ensure efficient data handling.
A detailed demonstration is provided, illustrating the practical application of ETL SCD2 processes in a real-world scenario.
Data Analysis using Snowflake and Tableau
This module focuses on integrating Snowflake with Tableau, a leading data visualization tool, for enhanced data analysis.
Preparation and Setup
Snowflake Setup: Participants are guided through the process of setting up Snowflake for data analysis.
Tableau Desktop Setup: Instructions for installing and configuring Tableau Desktop.
Integration Process: Steps for integrating Snowflake with Tableau.
Step by Step documentation – Tableau Desktop Integration with Snowflake:
Data Visualization Techniques
The course provides insights into various data visualization techniques using Tableau, emphasizing how to effectively represent and interpret data.
A comprehensive demonstration will show how to perform data analysis and create impactful visualizations, highlighting the synergy between Snowflake and Tableau.
DE End-to-End Projects Course – FAQs
1. What is the DE End-to-End Projects Course?
The DE End-to-End Projects course is a comprehensive learning program designed to teach the fundamentals and advanced concepts of data engineering. It integrates theoretical knowledge with practical application, focusing on data pipelining skills using tools like Snowflake, DBT, and Tableau.
2. Who is this course intended for?
This course is ideal for aspiring data engineers, data scientists, and IT professionals who wish to deepen their understanding of data engineering principles and practices. It’s also suitable for students and hobbyists interested in data management and analytics.
3. Is there a cost to enroll in the course?
No, the course is offered for free. It provides an accessible learning opportunity for individuals looking to expand their knowledge in data engineering without financial constraints.
4. What are the prerequisites for this course?
A basic understanding of data concepts and some familiarity with cloud computing and SQL is beneficial. However, the course is designed with comprehensive explanations to assist learners at different levels.
5. What type of resources does the course provide?
The course includes detailed documentation, step-by-step video tutorials, and practical demonstrations. These resources cover theoretical aspects, practical implementations, and troubleshooting tips for each topic.
6. How is the course structured?
The course is divided into three main projects: ETL SCD1 using Snowflake, ETL SCD2 using DBT & Snowflake, and Data Analysis using Snowflake and Tableau. Each project covers setup, integration, implementation, and practical demonstrations.
7. Will there be any hands-on projects?
Yes, the course emphasizes practical learning through hands-on projects. These projects allow learners to apply the concepts and tools they’ve learned in real-world scenarios.
8. How long does it take to complete the course?
The duration varies based on the learner’s pace. However, the course is designed to be comprehensive yet flexible, allowing learners to progress at their own speed.
This course offers a deep dive into the world of data engineering, with hands-on projects designed to impart practical skills in data pipelining. By exploring advanced tools and techniques, participants are equipped to handle complex data challenges in the real world.