There are 1 repository under amazon-athena topic.
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).
An Amazon Athena driver for Metabase 0.32 and later
Athena-Express can simplify executing SQL queries in Amazon Athena AND fetching cleaned-up JSON results in the same synchronous or asynchronous request - well suited for web applications.
A SQLite driver for S3 and Amazon Athena 😳
Open innovation with 60 minute cloud experiments on AWS
This project delivers AWS CDK Python code to provision serverless infrastructure in AWS Cloud to run Open Source RStudio Server and Shiny.
⛳️ PASS: Amazon Web Services Certified (AWS Certified) Machine Learning Specialty (MLS-C01) by learning based on our Questions & Answers (Q&A) Practice Tests Exams.
This application bootstraps everything needed to query the AWS Cost and Usage reports through Amazon Athena. It also includes reference data and preconfigured SQL queries.
Learn how to use Kinesis Firehose, AWS Glue, S3, and Amazon Athena by streaming and analyzing reddit comments in realtime. 100-200 level tutorial.
🌉 Reference implementation for granting cross-account AWS Glue Data Catalog access from Amazon Athena
This Project provides a sample implementation that will show how to leverage Amazon Athena from .NET Core Application using AWS SDK for .NET to run standard SQL to analyze a large amount of data in Amazon S3.
Library for using Amazon Athena JDBC Driver with ScalikeJDBC
This repository contains source code for the AWS Database Blog Post Reduce data archiving costs for compliance by automating RDS snapshot exports to Amazon S3
Data Engineering Youtube Project
you run a script to mimic multiple sensors publishing messages on an IoT MQTT topic, with one message published every second. The events get sent to AWS IoT, where an IoT rule is configured. The IoT rule captures all messages and sends them to Firehose. From there, Firehose writes the messages in batches to objects stored in S3. In S3, you set up a table in Athena and use QuickSight to analyze the IoT data.
It shows IoT analytics infrastructure to gather sensor information using M5Stack, AWS IoT Edukit.
⛳️ PASS: Amazon Web Services Certified (AWS Certified) Data Analytics Specialty (DAS-C01) by learning based on our Questions & Answers (Q&A) Practice Tests Exams.
Use Amazon AWS SDK to upload data to S3 bucket and query by Athena Sample Program
Utilize the multimodal capabilities of Anthropic Claude on Amazon Bedrock to simplify the natural language query by feeding entity relationship diagram (ERD).
Example of different ways to create Amazon Athena tables
a toolkit that provides an object-oriented interface for working with parquet datasets on AWS
Example of CQRS(Command and Query Responsibility Segregation) Pattern using Amazon Athena
Access Amazon Athena using a Java Database Connectivity (JDBC) driver with JRuby. For information on other connections or to download the Athena driver please refer to the documentation.
This is a simple Spring Boot POC to demonstrate how we can query an Amazon Athena table from a Spring Boot application, or any other Java code in general.
POC app to show how to query Athena and integrate the AWS SDK in Spring Boot.
Simplified blueprints for building data pipelines with Amazon Athena.
Discover how you can migrate from traditional deployments to serverless architectures with AWS
Amazon Athena interpreter for Apache Zeppelin
This repository houses the setup_nba_data_lake.py script, which automates the entire process of building a cloud-based data lake for NBA analytics. With this script, you can seamlessly integrate Amazon S3, AWS Glue, and Amazon Athena to store, process, and query NBA-related data—all in a fully scalable and serverless environment!
This is an end-to-end AWS Cloud ETL project. This orchestration uses Apache Airflow on AWS EC2 as well as AWS Glue. It demonstrates how to build ETL pipeline that would perform data transform using Glue job/crawler as well as loading into a Redshift table. It also shows how to connect Amazon Athena to Glue Data Catalog, and Power BI to Redshift.
This is an end-to-end AWS Cloud ETL project. This orchestration uses Apache Airflow on AWS EC2 as well as AWS Glue. It demonstrates how to build ETL pipeline that would perform data transform using Glue job/crawler as well as loading into a Redshift table. It also shows how to connect Amazon Athena to Glue Data Catalog, and Power BI to Redshift.