The architecture is designed to handle large volumes of data, ensure low latency, and facilitate both ETL (Extract, Transform, Load) and ML (Machine Learning) pipelines.
A data engineering training project to build an end-to-end pipline for a real-time processing of ...
Projects done in the Data Engineering Nanodegree by Udacity.com
This is intended to be a repo containing all of the official AWS Serverless architecture patterns...
FastAPI & Kubernetes Tutorial with PyCharm
Deploying a Single Page Application with AI Integration for General Queries using Bedrock
DribbleData project is a microservices architecture where Flask services integrate with AWS for a...
Study Guide for AWS Big Data Speciality Certification
This project integrates real-time data processing and analytics using Apache NiFi, Kafka, Spark, ...
we look at how we can use managed services such as Amazon Kinesis to handle our incoming data ana...
Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, ...
👷🌇 Set up and build a big data processing pipeline with Apache Spark, 📦 AWS services (S3, EMR, EC...
More than 2000+ Data engineer interview questions.
Udacity Data Engineering Nano Degree (DEND)
Project FraudCatch leverages AI to predict and prevent financial fraud in real-time. It uses Apac...