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We've combined years of real world experience, with the the latest Microsoft Big Data platforms and tools to create a set of modern data platform blueprints, designed to get you up and running quickly, at scale and with confidence.

Our experience shows most projects fit into one of four tiers of services and data sizes.

Our blueprints encapsulate the learnings of thousands of hours solving real-world data problems for our customers across a wide range of industries.

We help our customers to develop their technology strategy, built on deep insight from their data, engineered securely and efficiently in the cloud.

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Endjin are Microsoft Gold Partners for Data Platform and Data Analytics.

Creating Quality Gates in the Medallion Architecture with Pandera

Creating Quality Gates in the Medallion Architecture with Pandera

Liam Mooney

This blog explores how to implement robust validation strategies within the medallion architecture using Pandera, helping you catch issues early and maintain clean, trustworthy data.
Encoding categorical data for Power BI: Using label encoded data vs one-hot encoded data in Power BI

Encoding categorical data for Power BI: Using label encoded data vs one-hot encoded data in Power BI

Jessica Hill

Understand why label encoding is the preferred technique for encoding categorical data for analysis in Power BI over one-hot encoding.
Encoding categorical data for Power BI: Label encoding vs one-hot encoding - which encoding technique to use?

Encoding categorical data for Power BI: Label encoding vs one-hot encoding - which encoding technique to use?

Jessica Hill

One-hot encoding and label encoding are two methods used to encode categorical data. Understand the specific advantages and disadvantages of these techniques.