awsglue
Here are 17 public repositories matching this topic...
This projects uses ETL (Extract, Transform and Load) pipeline to extract data from Spotify using its API and loads the data to a data source(AWS Athena). The entire pipeline will be built using Amazon Web Services (AWS).
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Jul 8, 2023 - Jupyter Notebook
This project focuses on real-time data streaming with Kinesis, using Flink for advanced processing and OpenSearch for analytics. This architecture has succinctly handled the complete lifecycle of data from ingestion to actionable insights, making it a comprehensive solution.
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Aug 4, 2024 - Java
In this project I have used the Trending YouTube Video Statistics data from Kaggle to analyze and prepare it for usage.
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Nov 7, 2022
AWS S3 & Sentiment Analysis, Basic Plotting with Matplotlib, & Supervised Learning & Machine Learning with Sklearn.
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Jul 6, 2024 - Jupyter Notebook
This project demonstrates how you can build downstream data pipeline using dbt in athena
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Dec 24, 2022 - Python
Big data and Cloud Deployment
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Jan 15, 2024 - Jupyter Notebook
This project showcases a data transformation pipeline utilizing AWS Glue and Amazon Athena to process Spotify data from CSV files. It involves loading, transforming, and storing data in an S3 datawarehouse, enabling seamless querying through Amazon Athena.
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Mar 28, 2024 - Python
Transformed YouTube’s raw JSON data to parquet & loaded it in an S3 bucket, used Glue Data Catalog for storing metadata & Athena to query the cleaned data. Developed an ETL process using a Lambda job that would be triggered when raw data is loaded into an S3 bucket, processed, and stored for analytical purposes in an S3 bucket.
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Feb 9, 2023 - Python
An End-To-End data pipeline integration from Website Source to analytical dashboard in AWS using Python flask, ML models, DynamoDB and other AWS services.
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Mar 7, 2024 - HTML
Projects on Big Data Using Pyspark and AWS
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Apr 28, 2023 - Jupyter Notebook
This project offers a robust data pipeline solution designed to efficiently extract, transform, and load (ETL) Reddit data into a Redshift data warehouse. Leveraging a blend of industry-standard tools and services, the pipeline ensures seamless data processing and integration.
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Jun 19, 2024 - Jupyter Notebook
Incremental Data Load from S3 Bucket to Amazon Redshift Using AWS Glue
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Aug 15, 2024 - Python
This project builds a pipeline to analyze Superstore sales data using the power of AWS. It transforms the data to make it ready for exploration. Querying the transformed data using SQL queries to uncover trends and patterns. Analyzing results and creates easy-to-understand visualizations, providing clear insights into Superstore sales performance.
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May 27, 2024
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