profbiyi's repositories

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awesome-compose

Awesome Docker Compose samples

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Awesome-Power-BI

Awesome Power BI

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AWS_MNIST

MNIST Web Application

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Databricks-Certified-Data-Engineer-Associate

The resources of the preparation course for Databricks Data Engineer Associate certification exam

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demo-scene

👾Scripts and samples to support Confluent Demos and Talks. ⚠️Might be rough around the edges ;-) 👉For automated tutorials and QA'd code, see https://github.com/confluentinc/examples/

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devops-master-class

Devops Tutorial for Beginners - Learn Docker, Kubernetes, Terraform, Ansible, Jenkins and Azure Devops

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docker-postgres-world-db

Example Database for PostgreSQL : World DB

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dsti-devops-2020-fall-iac

Vagrant and Ansible lab

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DSTI_aws_project

Architecture for AWS project. The project takes tweets from twitter, process it and get sentiment and other metrics, then display with quicksight

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DSTI_DevOps_Project

Project to test devops knowledge as taught in class

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etl_biz_usescase

This is a use case for an ETL class

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git-class

We are testing git in our data engineering catch up class

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kafdrop

Kafka Web UI

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kafka-spark-streaming-zeppelin-docker

One click deploy docker-compose with Kafka, Spark Streaming, Zeppelin UI and Monitoring (Grafana + Kafka Manager)

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kafka_debezium

This is a part of the doc we used for our classes

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learning-terraform

This repo is for the Linkedin Learning course: Learning Terraform

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Mr.-Ranedeer-AI-Tutor

A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.

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sql_questions

Online platform for SQL Training

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streamlit-twitter-stream

Live stream tweets based on keywords to database using SQLAlchemy. Tweets are assigned a sentiment score and data is presented via streamlit.

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sunday_class

this is just a practical class for DBT and git

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toCase

Case your string as you want

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Twitter-RealTime-Sentiment-Analysis

This Python Lab project is designed to pull data from Twitter, store, and analyze it. The project will pick real-time tweets from Twitter, perform sentiment analysis of the same, create an email trigger, and visual tweets and sentiments. At the same time, the same tweets are stored in batches and then analyzed.

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