Скачать или смотреть Upload Files to AWS S3 using Boto and AWS Wrangler Python Libraries

In this video, you'll learn how to use python and jupyter notebook and upload data & files to Amazon Web Services (AWS) Simple Storage Service (S3) using Boto and AWS Wrangler, two powerful Python libraries that allow you to interact with AWS services. The code and data sets used in this video can be found at

Github Link: https://github.com/Kamalabot/s3-wareh...

Video covers from importing the necessary dependencies to set up the boto3 session, verifying S3 bucket objects, and then start uploading files and Pandas Dataframe. Code dives into the AWS Wrangler methods to demonstrate how to upload a file. File can be a simple text file ranging from few KBs to TBs. Process is the same.

Next video, we'll explore how to use AWS Wrangler, to upload the dataframe as csv, json, excel and parquet file. Once uploaded, we will also cover the method to check files are successfully uploaded into the buckets, and review the data using S3 Select on AWS CONSOLE GUI

Throughout the tutorial, we'll provide detailed explanations of each step and provide example code that you can use as a starting point for your own projects. By the end, you'll have a solid understanding of how to automate the upload process to AWS S3 using Boto and AWS Wrangler, and you'll be well on your way to building powerful, automated data pipelines for your data.

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