⛳️ PASS: Amazon Web Services Certified (AWS Certified) Data Analytics Specialty (DAS-C01) by learning based on our Questions & Answers (Q&A) Practice Tests Exams.

Development of visibility forecast with elastic lead times using NWP model with DeepAR from past observation for the next 12/24 hours using DeepAR inside sagemaker studio and visualizing using AWS Quicksite with API service for clients for selected airports in the country.

With this self service reporting capability, QuickSight readers can now generate reports without elevating them to Authors.

This project lets users merge two analyses together and create a new analysis or even update the target analysis in place.

In QuickSight, currently, one cannot transfer assets and delete user programmatically. This repository uses native QuickSight boto3 APIs to transfer all assets to a new owner and also delete the original owner.

This project helps admins to migrate QuickSight dashboards from one account to another through Continuous Deploy process

Analyzed YouTube trending video data using AWS services to build a scalable pipeline for data ingestion, ETL, and storage in a centralized data lake. Created QuickSight dashboards highlighting video views by country, category, and region. Workflow included ingestion, preprocessing, cataloging, and analysis.

This project about the police responses within Stockton, CA and how it impacts the decisions on whether someone wants to locate there or relocate based on how safe it is.

AWS_AI_Cloudflare_workshop, Kaosiung 20240606

This is an end-to-end AWS Cloud ETL project. This data pipeline orchestration uses Apache Airflow on AWS EC2 as well as AWS Lambda. It demonstrates how to build ETL data pipeline that would perform data transformation using Lambda function as well as loading into a Redshift cluster table. The data would then be visualized using Amazon QuickSight.