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This Capstone Project includes an End to End Data Engineering Pipeline right from Ingesting the data from HTTPs server to cleaning and transforming the data in Azure Databricks and finally reporting the data on Power BI Desktop

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Azure Data Engineering Capstone Project

About Formula One

Similar to IPL cricket English Premier League football or NFL, Formula One season, roughly over 20 races, happens once a year.

Each race happens over a weekend.

There are various race circuits on which the races take place. Usually, there is only one race in a circuit each year, but due to the COVID outbreak in 2020, there were more than one race conducted in some of the circuits.

Roughly ten teams participate in each season and are also called constructors in Formula One.

Each team has two drivers and each driver is assigned a specific car.

The raceway can span from Friday to Sunday. There are two practice sessions on a Friday and a final practice session on Saturday morning. They don't count towards any points or achievements.

There is a qualifying session on Saturday afternoon and it happens over three different stages. The qualifying results decide the grid position of the driver as to where he'll start the race.

The higher the driver qualifies the more, he gets to start the race, which is a massive advantage. Unlike qualifying sessions, which are decided over a single lap, races span multiple laps, roughly between 50 and 70 laps, depending on the length of the circuit.

Also during the race, drivers make pit stops to change the tires or to replace the damaged car.

Based on the race results. Drivers and constructors standings are decided. Whichever driver is on the top of the standings at the end of the season is the driver champion. Similarly, the team that's leading the constructor's standings becomes the Constructor champion.

Hope this gives you a good understanding about Formula One and the various terminologies used. We're only going to be dealing with the data that's focused on these concepts.

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This Capstone Project includes an End to End Data Engineering Pipeline right from Ingesting the data from HTTPs server to cleaning and transforming the data in Azure Databricks and finally reporting the data on Power BI Desktop

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