Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
-
Updated
Jul 11, 2024 - Python
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Flexible SQL Exporter for Prometheus.
A Fast, Declarative, and Extensible ETL Framework for Graph Databases.
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
PyAthena is a Python DB API 2.0 (PEP 249) client for Amazon Athena.
Data Quality Gate based on AWS
The athena adapter plugin for dbt (https://getdbt.com)
Resources from an virtual tech talk / workshop - Set Up and Use Apache Iceberg Tables on Your Data Lake
AWS S3 & Sentiment Analysis, Basic Plotting with Matplotlib, & Supervised Learning & Machine Learning with Sklearn.
Data Engineer project using Python and some AWS data services
A library to parse Athena structures into Erlang terms
This project creates a serverless data pipeline to extract data from the Colombo Stock Market ASI Index API using AWS Lambda, Kinesis Firehose, and S3. An AWS Glue workflow processes and transforms the data, storing it in an Apache Iceberg table via Athena and Glue ETL jobs.
This web analytics demo shows how to collect web logs with API Gateway and store them into S3 through Amazon Kinesis. Then this project shows how to analyze web logs with Amazon Athena.
100+ SQL Scripts - PostgreSQL, MySQL, Google BigQuery, MariaDB, AWS Athena. DevOps / DBA / Analytics / performance engineering. Google BigQuery ML machine learning classification.
NodeJS AWS Athena client
Create GPU-powered Kepler.gl maps from SQL queries and share them instantly and securely with live updates and multi-user editing.
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.
This project automates setup of Cost and Usage Reports (CUR) in a billing account with an Athena table enabling querying of the latest data for each month.
Command line tools for AWS Athena.
Add a description, image, and links to the athena topic page so that developers can more easily learn about it.
To associate your repository with the athena topic, visit your repo's landing page and select "manage topics."