AWS CloudTrail Hands-on Lab
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Updated
Mar 28, 2020
AWS CloudTrail Hands-on Lab
Este projeto tem como objetivo realizar a coleta, catalogo, governança, processamento e visualização de dados.
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).
User, Event, and Predictive Metric Dashboard on 2GB/month of log files from Brackets IDE
Unveiling job market trends with Scrapy and AWS
This project aims to securely manage, streamline, and perform analysis on the structured and semi-structured YouTube videos data based on the video categories and the trending metrics.
Stream CDC into an Amazon S3 data lake in Apache Iceberg format with AWS Glue Streaming using Amazon MSK and MSK Connect (Debezium)
The project is to simulate Real-time streaming for movie details using Kafka. We used different technologies such as Python, Amazon EC2, Apache Kafka, Glue, Athena, and SQL.
Data streaming project with Apache Druid & Grafana: Real-time data processing, alerts, integration with AWS. It uses a combination of technologies and services, including Confluent-Kafka, Apache Druid, AWS SNS, EC2, Athena, S3, Glue and EventBridge, StepFunctions. Contribute to this powerful solution!
Stream CDC into an Amazon S3 data lake in Apache Iceberg format with AWS Glue Streaming and MSK Connect (Debezium)
This project is about building a data lake and creating an ETL pipeline in Spark that loads data from Amazon S3, processes the data into analytics tables, and loads them back into S3
Cloud Development Kit (AWS CDK) using TypeScript, Python and Java
How to setup an AWS Athena Database connection in DBVisualizer!
AWS Athena, Glue Database, Glue Crawler and S3 buckets deployment through AWS GUI console.
Batch datapipeline on aws using glue
An end-to-end solution for managing and analyzing YouTube video data from Kaggle, leveraging AWS services and visualized through Quicksight and Tableau
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