Landing data in ADLS Gen2

In this recipe, we will learn how to create an ADLS Gen2 storage account and upload data as a Parquet file, where ADLS Gen2 can be considered as the landing zone before data is processed and transformed.

Getting ready

We will be using a public dataset for our scenario. This dataset will consist of New York yellow taxi trip data; this includes attributes such as trip distances, itemized fares, rate types, payment types, pick-up and drop-off dates and times, driver-reported passenger counts, and pick-up and drop-off locations. We will be using this dataset throughout this recipe to demonstrate various use cases:

• To get the dataset, you can go to the following URL: https://www.kaggle.com/microize/newyork-yellow-taxi-trip-data-2020-2019.
• The code for this recipe can be downloaded from the GitHub repository: https://github.com/PacktPublishing/Analytics-in-Azure-Synapse-Simplified.

Let's get started.

How to do it…

ADLS...