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Data Warehouse

Track Course
Intermediate
Fully Ready

About the Course

This course explores modern data warehousing concepts, from relational databases and data modeling to ELT/ETL workflows and cloud-based warehouses. Learners gain hands-on experience with tools like Snowflake, Azure Synapse, and dbt, while developing practical skills in modeling, loading, transformation, and governance. The course also covers best practices for cloud architecture, performance optimization, and ensuring data quality.

Learning Outcomes

By the end of this course, participants will be able to:

  • Model scalable and efficient data warehouses using relational design principles for analytics.
  • Implement data transformations and cloud architecture best practices to optimize performance and maintainability.
  • Apply data governance principles, including quality, lineage, and access control, in modern warehousing environments.
  • Develop ELT/ETL pipelines with cloud-based tools such as Snowflake, Azure Data Factory, and dbt.

Curriculum

  • Chapter 1: Data Warehouse Foundations

    Overview:

    In this chapter, you will learn the fundamentals of relational and non-relational databases, data warehousing concepts, and OLTP vs. OLAP systems.

    Topics:

    • Relational database principles and design
    • NoSQL databases and use cases
    • Data warehousing concepts (OLTP vs. OLAP)
  • Chapter 2: Introduction to Snowflake

    Overview:

    In this chapter, you will explore Snowflake as a modern cloud data warehouse, learning how to query, transform, and connect with external tools.

    Topics:

    • Snowflake architecture and core features
    • Tables, views, and SnowSQL
    • Data loading and integrations
  • Chapter 3: Data Modeling and ELT

    Overview:

    In this chapter, you will learn data modeling principles and best practices, along with ETL/ELT workflows for large-scale data management.

    Topics:

    • Dimensional modeling (fact/dimension tables, star & snowflake schemas)
    • Data extraction, loading, and transformation (Azure Data Factory, Synapse, or Snowflake)
    • Mini projects in modeling and loading
  • Chapter 4: dbt for Data Transformation

    Overview:

    In this chapter, you will use dbt to automate transformations, apply testing, and structure warehouse workflows.

    Topics:

    • dbt architecture and layering (staging, intermediate, marts)
    • Materialization, snapshots, and tests
    • Hands-on dbt mini projects
  • Chapter 5: Data Governance

    Overview:

    In this chapter, you will understand the importance of governance in data engineering and how to apply it in cloud environments.

    Topics:

    • Data governance best practices
    • Role of the data engineer in governance
    • Governance capabilities in Azure

Tools

Snowflake
Azure (Synapse Analytics, Data Factory)
dbt and SQL
ChatGPT (tool research)
Docker (optional)
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STUDENT REVIEWS

What our graduates are saying

I had an incredible experience at this data science bootcamp! Coming in with no prior knowledge, I was amazed at how quickly I gained a solid understanding of the field. The curriculum is intensive and hands-on, allowing me to learn real, applicable skills through working on real client projects. The staff are exceptionally supportive and always ready to help. This bootcamp truly transformed my career path, and I couldn’t be more grateful for the knowledge and confidence I’ve gained. Highly recommended for anyone looking to break into data science!

My experience was awesome. I was taught by professional data engineers who shared their insights based on their professional experience. The topics covered are relevant to what employers are looking for and I enjoyed hands-on projects. I learned all the skills I needed to be a data engineer and I got a full-time offer as a data engineer, thanks to the mentors from WecloudData. I highly recommend this program. I was able to land interviews at Amazon, Yelp, CI Financial e.t.c

Deciding to go with WeCloudData was one of the best decisions I made during my career switch. Their Bootcamps are intense but they get you where you need to go. The instructors are amazing and the TAs very knowledgeable. Their client projects taught me a lot even after the bootcamp was done. I was able to land my current job thanks to the skills and training from the course.

I had the pleasure of attending WeCloudData’s Data Fundamentals bootcamp, which was fantastic. The highly qualified instructors used cutting-edge teaching techniques that greatly facilitated understanding the logic of coding and programming. They carefully progressed us from fundamental to more complex subjects, avoiding any feeling of overload. I wholeheartedly endorse this course for anyone hoping to become a data analyst—it’stheonly one you’ll need. The teachers are very outstanding!

This bootcamp provided me with the necessary technical skills and industry knowledge to secure a data job. The instructors are knowledgeable and shared everything they know to help me achieve my goals. The TAs are resourceful and patient answering my questions. The projects in the bootcamp enhanced my knowledge and impressed interviews. This is a wonderful bootcamp if you are looking to either imporve your skills or switch career!

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Common Questions

Find answers to your questions about the Learning Track
  • Standard Courses: Focused, short courses that build foundational or intermediate skills through hands-on exercises, enabling you to apply what you learn immediately.
  • Track Courses: Structured learning paths that guide you from beginner to advanced levels. They include practical projects that integrate multiple tools and workflows, aligned with industry best practices, helping you gain the skills and confidence to tackle real-world challenges.

No. Track Courses are only accessible through the Professional or Unlimited+ subscription plans.

  • Standard Plan gives you access to all Standard Courses.
  • Professional Plan gives you access to both Standard and Track Courses within your chosen domain.
  • Unlimited+ Plan provides full access to all courses — both Standard and Track — across all domains.

 

Yes, all courses are designed to be self-paced. Learn when it fits your schedule.

Each course includes prerequisites if needed. Many Standard Courses are beginner-friendly.

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