Data cleaning, pre-processing, and Analytics on a million movies using Spark and Scala.
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Updated
May 19, 2021 - Scala
Data cleaning, pre-processing, and Analytics on a million movies using Spark and Scala.
Big data projects implemented by Maniram yadav
Drools processor for Apache NiFi
COMP90024 - Cluster and Cloud Computing - 2020S1 - Assignment 2
Eskimo is a state of the art Big Data Infrastructure and Management Web Console to build, manage and operate Big Data 2.0 Analytics clusters on Kubernetes. This is the git repository of Eskimo Community Edition.
This repo contains Big Data Project, its about "Real Time Twitter Sentiment Analysis via Kafka, Spark Streaming, MongoDB and Django Dashboard".
This project aims to predict smartphone prices using a combination of batch and stream processing techniques in a Big Data environment. The architecture follows the Lambda Architecture pattern, providing both real-time and batch processing capabilities to users.
personal solutions to big data problem scenarios using scala
A Multilevel Streaming Data Analytics Infrastructure for Predictive Analytics
COMP90024 - Cluster and Cloud Computing - 2020S1 - Assignment 1
Trabalho da faculdade de Tópicos de Big Data em Python (ainda não finalizado), o código é especificamente para ler a planilha de Unidades Federativas do Brasil em Estado de Insegurança Alimentar.
Supporting code for big-data analysis in linguistics
Simplified Hadoop Setup and Configuration Automation
As Final Project for the Big Data Systems & Analysis class, we designed and implemented a system that once integrated with a live chat (Twitch, YouTube, Zoom, Twitter, etc.) can group together similar questions so that the host can better address them.
Welcome to the Big Data Lab Google Colab repository! 🚀
This repository contains about my weekly projects from Big Data Analytics II course at my college
Building a next-generation hybrid data pipeline architecture that combines the power of Microsoft Fabric, Azure Cloud, and Power BI. This pipeline is engineered to tackle the challenges of real-time data ingestion, multi-layered processing, and analytics, delivering business-critical insights.
This repository contains about my weekly projects from Big Data Analytics II course at my college
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