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apache-kafka-book-examples

Fixed and updated code examples from the book "Apache Kafka"

asbelfernando

Config files for my GitHub profile.

aws-serverless-architecture-using-kinesis-lambda-s3-and-twitter

Amazon Kinesis is a tool used for working with data in streams. It has a few features — Kinesis Firehose, Kinesis Analytics and Kinesis Streams and we will focus on creating and using a Kinesis firehose

camel-cookbook-examples

Example source code for Apache Camel Developer's Cookbook

cda

Community Data Access

content-aws-bigdata-cert

covid-19

A collection of work related to COVID-19

curso-definitivo-javascript

data-engineering-zoomcamp

Free Data Engineering course!

dbt-stackoverflow

draft-tut-react-and-spring-data-rest

Blog series/tutorial showing how to build up a web app with React.js + Spring Data REST

ejemplo-reflux

ejercicio

ejercicio2

equipo

git

Curso Profesional de Git y GitHub

google-cloud-4-words

The Google Cloud Developer's Cheat Sheet

hacking-human-vasculature

Project for SenNet + HOA - Hacking the Human Vasculature in 3D Kaggle competition + ML Zoomcamp final project

hadoop-book

Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White

kinesis-kafka-connector

kinesis-kafka-connector is connector based on Kafka Connect to publish messages to Amazon Kinesis streams or Amazon Kinesis Firehose.

libromongodb

Libro en Espanol sobre NoSQL y MongoDB

mejorandogit

Ejercicio principal del curso de Git y GitHub

mongo-tools

movingaverage

Finding the moving average from heterogeneous data sources (MySQL, MongoDB) using Apache Kafka, Kafka Connect, and R language

open-data-covid-19

Open Data Repository for the Covid-19 dataset.

pentaho-reporting

Java class library for generating reports.

practical-mlops-book

[Book-2021] Practical MLOps O'Reilly Book

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pyspark-banking

This is the first project where we worked on apache spark, In this project what we have done is that we downloaded the datasets from KAGGLE where everyone is aware of, we have downloaded loan, customers credit card and transactions datasets . After downloading the datsaets we have cleaned the data .

pysparkacm