Analytics Institute

As Data Engineers, when the fundamentals are weak, the infrastructure/data warehouse will expose you 😊.

When building your medallion architecture based on the star schema principle, it is essential to consider these key factors. One of the important principles of building a data warehouse is deciding which type of schema, ie, star schema or snowflake schema.
In the star schema implementation, I noted some important factors to consider when building your medallion architecture in my article.

✅ Defining the granularity of the fact table.

✅ Choosing your dimensional tables.

✅ Determining fact table measures and keys.

✅ Data volume and performance.

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Designing a Star Schema for Medallion Architecture — Factors to consider. A major fundamental principle in Data Engineering is the ability to design a scalable and reliable data warehouse schema for a medallion…

Essential Skills Every Data Engineer Must Know

Becoming a successful Data Engineer goes beyond writing SQL or building pipelines. It’s about understanding how data flows, transforms, and powers business insights.

Here are key areas every aspiring or practicing Data Engineer should master:

✅ Medallion Architecture
✅ Data Modelling
✅ ETL (Extract, Transform, Load)
✅ Cloud Infrastructure
✅ Data Warehousing
✅ Programming (SQL & Python)

Keep learning, keep building, and keep improving your craft.

Understanding SQL begins with mastering its four core command types: DDL, DML, DQL, and DCL.

Each plays a vital role in defining, managing, querying, and controlling data within a database system.

At Analytics Institute, we simplify complex data concepts for beginners — turning curiosity into skill and skill into opportunity. 💡

Many people believe data engineering is only for coding wizards, but that’s far from the truth.

The reality is, you only need to master two fundamental technical skills to set yourself on the path to becoming a seasoned Data Engineer.

In our upcoming post, we’ll break down these two essential skills and show you exactly how to start building your data engineering career with confidence. 💡

Stay tuned, your journey to data mastery starts here! 🔥