Code for "A Hybrid Data Security System of Internet of Things", ICBDA2019

A curated list of resources for writing and monitoring awesome applications for AWS Cloud.

[IEEE IoT'24] CAPTAIN: A Testbed for Co-Simulation of Scalable Serverless Computing Environments for AIoT Enabled Predictive Maintenance in Industry 4.0

Cloud computing with Amazon Web Services

Projects completed as part of the CSE 6332 CCBD course at UTA, covering distributed computing, data processing frameworks, and cloud platforms.

Cloud computing is the process of delivering computing services that include storage, database, servers, software, networking solutions, intelligence, and analytics via the internet

Config files for my GitHub profile.

A workflow scheduling approach

Amazon Comprehend is a natural-language processing (NLP) service that uses machine learning to uncover information in unstructured data. The service can identify critical elements in data, including references to language, people, and places, and the text files can be categorized by relevant topics.

My Professional Certificates

This repository demonstrates various Terraform practices, including cross-referencing resource attributes, using output values, and managing variables. Each branch in this repository focuses on a specific topic or feature, providing practical examples and best practices for working with Terraform on AWS.

A repo for the book Flash Guide to AWS and its related website

Microsoft Azure

Data Analytics Projects using SQL, Python, Power BI, Tableau and more.

I created bash scripts in order to create resources in AWS using AWS Command Line Interface

This project demonstrates a comprehensive data engineering workflow using the Uber information dataset. It covers the full spectrum of data engineering pipelines, from data transformation to deployment on Google Cloud, with a focus on creating a scalable and insightful data model.