Ola Ajibode's repositories
bigdatabox
Data Analysis
in-few-steps
A collection of quick steps to start using a technology or application e.g. Terraform, FastAPI, Quart, Flask, Spark or even NextJS with Wordpress. Each document outlines how to use or start using a technology or product in very few steps
Apache-Kafka-Series---Kafka-Connect-Hands-on-Learning
Apache Kafka Series - Kafka Connect Hands-on Learning, published by Packt
aws-data-lake-solution
A deployable reference implementation intended to address pain points around conceptualizing data lake architectures that automatically configures the core AWS services necessary to easily tag, search, share, and govern specific subsets of data across a business or with other external businesses.
daily-growth
Exploring various tenets of Software engineering including but not limited to Microservices, Design patterns, Domain-Driven Designs, Language ramp-ups, Framework designs and Process Automation
Data-Engineering-with-Apache-Spark-Delta-Lake-and-Lakehouse
Data Engineering with Spark and Delta Lake
Data-Structures-and-Algorithms
Data Structures and Algorithms in Python
DataEngCookbook
The Data Engineering Cookbook
fastapi-django-micro
FastAPI with Django ORM
Learning-Functional-Data-Structures-and-Algorithms
Learning Functional Data Structures and Algorithms published by Packt
prefect-dataplatform
Example repository showing how to build a data platform with Prefect, dbt and Snowflake
python-best-practices
This project is intended to help developers to code better using Python best practices
python_fastapi
This article will teach you how to create a CRUD RESTful API with Python, FastAPI, SQLAlchemy ORM, Pydantic, Alembic, PostgreSQL, and Docker-compose to perform the basic Create/Read/Update/Delete operations against a database.
recruitment-data-engineering
A sample data stack for candidates to showcase their understanding of databases, processing, and problem solving
ZTM-DS-and-Algo-Python
Contains all the code samples from the Zero to Mastery : Master the Coding Interview - Data Structures + Algorithms course by Andrei Neagoie, in Python.