dataintegration
There are 21 repositories under dataintegration topic.
mansik95/IMDB-Analysis
This repository contains analysis of IMDB data from multiple sources and analysis of movies/cast/box office revenues, movie brands and franchises.
codecentric/reedelk-runtime
Reedelk Runtime Platform Community Edition
RushikeshShinde14/Hospital-Database-Management-System-SQL-Project
Hospital Database Management System (DBMS) is a comprehensive SQL project designed to streamline and optimize the management of hospital operations. This project aims to provide an efficient and user-friendly solution for storing, retrieving, and manipulating various types of healthcare-related data.
GauravPandeyLab/ensemble_integration
Integrating multimodal data through heterogeneous ensembles
george-mountain/Data-Extraction-Integration-and-Analysis---Clustering-Operations
This repository for a project detailing the step by step approach of scraping data, integrating data from various sources, performing analysis on data from various sources for the purpose of analaysis. It also shows how APIs can be harnessed for data engr operations. In this project, the four square API was utilized for the location data.
saifsafsf/IMDb-Data-Integration-with-Talend
Uses Rapid API to fetch IMDb data, filters, & uploads the data in different tables in a MySQL Database, in one click using Talend.
camara94/introduction-to-data-engineering
Describe the different entities that form a modern data ecosystem. Describe and differentiate between the role and responsibilities of Data Engineers, Data Scientists, Data Analysts, Business Analysts, and Business Intelligence Analysts. Explain what Data Engineering is. List the tasks that need to be performed in a typical data engineering lifecycle. Describe what a day in the life of a Data Engineer looks like.
doshiharmish/Driving-Customer-Insights-Post-Merger
Project involves merging customer reviews from Fudgemart and FudgeFlix to create a unified data warehouse using Kimball's approach. Utilizing Power BI, it aims to extract actionable insights for Fudge Inc., guiding strategic decisions, product enhancements, and market expansion based on comprehensive business intelligence.
farrmt/IDM
Farr, M. T., D. S. Green, K. E. Holekamp, and E. F. Zipkin. 2020. Integrating distance sampling and presence-only data to estimate species abundance. Ecology 00(00):e03204. 10.1002/ecy.3204
ianthropos88/Enterprise_Data_Architecture
The pragmatic technology journey for an Enterprise Data Model serving reporting, analytical, advanced data science and other digital use cases with integrated data from a variety of sources.
Uniquenetra/ml-based-ontology-matching
A project to enhance ontology matching accuracy using Large Language Models (LLMs) like S-BERT.
adeelnasir0405/Data-Integration-with-Talend
To integrate data from "Orderline.csv" and "Product.csv" using Talend, filtering based on price, and performing inner and left joins to extract insights and facilitate data warehousing integration with Microsoft SQL Server.
BHPepper/HormoneTherapy-DSS-BreastCancer
Hormone Therapy Decision Support System for Breast Cancer
NerminkoOmanic/BusinessIntelligenceInFootball
Bussines intelligence project
pkorat/Extract.Transform.Load-Life_Expectancy
An implementation of the data integration process Extract, Transform, Load (ETL)
thedummyprogrammer/TDP.Robot
A software to automate tasks, monitor and data integration in Windows systems, using a graphical interface.
CJ-Nieto/Hack-para-la-gestion-del-conocimiento-entre-agencias-espanol
Proyecto para el Hackathon Innovation Challenge Microsoft, utilizando datos públicos para mejorar la gestión del conocimiento en salud global. Facilitamos la colaboración interinstitucional y decisiones basadas en evidencia entre agencias, empresas y organizaciones.
Kush-Trivedi/Logistic-Regression-K-NN-for-Heart-Attack
Various predictor factors to try to generate a forecast about heart disease patients and Logistic regression and K-Nearest Neighbor to develop a model to predict whether the patients have heart disease or not for the analysis, Finally Some basic visualizations.
tashi-2004/Global-Ecommerce-Retail-Trends-Analysis
The Global E-commerce & Retail Analysis project involves data preprocessing, dimensionality reduction with PCA 📉, CLV calculation and What-If analysis . Key insights include effective PCA for data reduction, detailed CLV analysis across segments , and the impact of pricing strategies on sales.
zsomborjoel/python-data
Data integration and other data related programs