Convert Parquet Files to GeoJson and Save to Data Lake with Synapse Notebooks: An Exciting Guide!

How To Convert Parquet Files into GeoJson Files and Save it in Data Lake using Synapse Notebooks
Introduction
In this article, we will look at how to use Synapse Notebooks to convert Parquet files into GeoJson files and save it in Data Lake. Data Lake is a powerful tool for storing and analyzing large amounts of data. By leveraging Synapse Notebooks, we can quickly and easily convert Parquet files into GeoJson files, which can then be saved in Data Lake.

What are Parquet files?
Parquet files are columnar data formats that are used to store tabular data. They are primarily used for storing large amounts of data in a highly compressed format, making them suitable for use in data lakes. Parquet files are also easier to query and analyze than traditional CSV files.

What are GeoJson files?
GeoJson files are a type of JSON file that contains geographic features along with their associated attributes. They are used to represent a wide range of geographic features, such as points, lines, and polygons. GeoJson files can be used in a variety of applications, including web mapping applications and geospatial analysis.

How to Convert Parquet Files into GeoJson Files using Synapse Notebooks
Converting Parquet files into GeoJson files using Synapse Notebooks is a relatively straightforward process. First, we need to install the Synapse Notebooks client. This can be done by running the following command in a terminal window:

$ pip install synapse-notebooks

Once this is installed, we can create a new notebook in Synapse Notebooks. In the notebook, we can then import the Parquet file using the following code:

from synapse_notebooks.parquet import ParquetDataset

dataset = ParquetDataset(‘path_to_file.parquet’)

We can then use the following code to convert the Parquet file into a GeoJson file:

from synapse_notebooks.geojson import GeoJsonDataset

geo_dataset = GeoJsonDataset.from_parquet(dataset)

Finally, we can save the GeoJson file in Data Lake using the following code:

from synapse_notebooks.dataset_sink import DataLakeDatasetSink

sink = DataLakeDatasetSink(‘path_to_datalake’)
sink.write(geo_dataset)

Conclusion
In this article, we looked at how to use Synapse Notebooks to convert Parquet files into GeoJson files and save it in Data Lake. We saw how easy it is to use Synapse Notebooks to quickly and easily convert Parquet files into GeoJson files, which can be stored in Data Lake. By leveraging the power of Synapse Notebooks, we can make use of the scalability and flexibility of Data Lake for our data storage and analysis needs.
References:
How To Convert Parquet Files into GeoJson Files and Save it in Data Lake using Synapse Notebooks
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1. Parquet to GeoJson Conversion
2. Synapse Notebooks