Pinned Repositories
ADExploitation-Obsidian-CheatSheet
Obsidian-friendly cheatsheets for Active Directory enumeration and exploitation
aws-data-pipeline
A batch processing data pipeline, using AWS resources (S3, EMR, Redshift, EC2, IAM), provisioned via Terraform, and orchestrated from locally hosted Airflow containers. The end product is a Superset dashboard and a Postgres database, hosted on an EC2 instance at this address (powered down):
Forecasting-Intermittent-Demand
Data Mining Cup 2020
Great-Expectations-for-CSV
Ensuring data quality in an e-commerce data set using Great Expectations.
GreatEx
A project for exploring how Great Expectations can be used to ensure data quality and validate batches within a data pipeline defined in Airflow.
metasploit-framework
Metasploit Framework
nifi-data-pipeline
:package: Containerizing everything from the book "Data Engineering with Python"
NocoDB-and-Baserow
product-catalogue
Web scraping task to obtain industrial equipment data and produce a product catalogue out of it. From this page:
spark-big-data
Spark with Scala. Big data project to analyze 35 GB Parquet data (~400 GB as decompressed CSV) and extract business insights from it
ismaildawoodjee's Repositories
ismaildawoodjee/GreatEx
A project for exploring how Great Expectations can be used to ensure data quality and validate batches within a data pipeline defined in Airflow.
ismaildawoodjee/aws-data-pipeline
A batch processing data pipeline, using AWS resources (S3, EMR, Redshift, EC2, IAM), provisioned via Terraform, and orchestrated from locally hosted Airflow containers. The end product is a Superset dashboard and a Postgres database, hosted on an EC2 instance at this address (powered down):
ismaildawoodjee/ADExploitation-Obsidian-CheatSheet
Obsidian-friendly cheatsheets for Active Directory enumeration and exploitation
ismaildawoodjee/Great-Expectations-for-CSV
Ensuring data quality in an e-commerce data set using Great Expectations.
ismaildawoodjee/nifi-data-pipeline
:package: Containerizing everything from the book "Data Engineering with Python"
ismaildawoodjee/NocoDB-and-Baserow
ismaildawoodjee/product-catalogue
Web scraping task to obtain industrial equipment data and produce a product catalogue out of it. From this page:
ismaildawoodjee/spark-big-data
Spark with Scala. Big data project to analyze 35 GB Parquet data (~400 GB as decompressed CSV) and extract business insights from it
ismaildawoodjee/Superset-and-Metabase
ismaildawoodjee/functional-programming-haskell
Functional Programming with Haskell lecture notes, translating from German to English (WIP)
ismaildawoodjee/metasploit-framework
Metasploit Framework
ismaildawoodjee/Automate-EC2-Spinup
Bash scripts that automatically spin up an EC2 instance, build a Docker image, and deploy a containerized Flask application on EC2, viewable via the Internet.
ismaildawoodjee/Data-Engineering-Task
A small data engineering project to extract cryptocurrency data from CoinGecko's public API using Python, package the script as a Docker image, and deploy it on a Windows machine.
ismaildawoodjee/dateparser
python parser for human readable dates
ismaildawoodjee/DBT-Intro
ismaildawoodjee/DBT-with-Postgres
ismaildawoodjee/DSAInJava
Collated reference for data structures and algorithms
ismaildawoodjee/Great-Expectations-Data-Pipelines-Windows
ismaildawoodjee/Great-Expectations-for-JSON
ismaildawoodjee/Great-Expectations-for-SQL
ismaildawoodjee/Great-Expectations-with-Airflow
ismaildawoodjee/great_expectations
Always know what to expect from your data.
ismaildawoodjee/grpcui
An interactive web UI for gRPC, along the lines of postman
ismaildawoodjee/htb-boxes
Boxes from HackTheBox
ismaildawoodjee/kedro-spaceflights
ismaildawoodjee/Learning-Docker
Repository for me to learn about Docker, carry out projects in it, and to use as a future reference in data engineering projects.
ismaildawoodjee/nocodb
🔥 🔥 The Open Source Airtable alternative - Powered by Vue.js 🚀 🚀
ismaildawoodjee/superset
Apache Superset is a Data Visualization and Data Exploration Platform
ismaildawoodjee/Testing
ismaildawoodjee/testing-docker
:whale: Configuration set up for testing container deployment and running shell scripts using GitHub actions