Community Data Models for Earth Prediction Systems
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Updated
Sep 6, 2024 - Fortran
Community Data Models for Earth Prediction Systems
DATA ANALYTICS PORTFOLIO
Udacity Data Engineering Nano Degree Project, Data Modeling for fact and dimension tables, and ETL pipeline that transfers data from files in two local directories into these tables in Postgres using Python and SQL.
Data Science and Artificial Intelligence advanced certification course led by the IIT Madras & Intellipaat
Data Modeling and ETL with PostgreSQL for Udacity Data Engineering Nanodegree
Code/Notes for the Data Engineering Zoomcamp by DataTalksClub
Data modeling & the Snowflake Data Cloud using SqlDBM Hands-on lab - corresponding scripts.
Explore the transformative power of data analytics in my portfolio, where Google Analytics and Snowflake converge to provide comprehensive insights. This project leverages advanced ETL techniques and real-time data integration to enhance user engagement and optimize content delivery effectively.
Analyzes historical credit card transactions and consumption patterns in order to identify possible fraudulent transactions.
Data Engineering framework written in Python based in Polars.
Data Modeling and ETL with Cassandra for Udacity Data Engineering Nanodegree
Data modeling tool for JSON Documents, JSON-Schema and document based NoSQL Databases
This repository contains Looker's Case Studies.
Udacity Data Engineering Nanodegree Capstone project that covers almost all the aspects of Data Engineering - Data Exploration, Data Cleaning, Data modeling, ELT(Extract, Load & Transform), Data Processing on AWS Cloud using Apache Spark and automating data-pipelines using Apache Airflow.
Data Modeling with Cassandra
This repository discusses a research project on the employee database at Pewlett Hackard Corporation from the 1980s and 1990s. All that remains of the database of employees from that period is in six CSV files. On this project, a table was created that holds employees data in the CSVs, import the CSVs into a SQL database, and the data exploratio…
Examples of using Aerospike's complex data types (Map and List) to implement common patterns
Projeto visando trazer as principais métricas relacionadas à aquisição de clínicas, realizando uma análise de dados exploratória com essa base, de forma a identificar gargalos e oportunidades para otimizar a entrada de clinicas na Real.
Predicting Hospital Readmission of Diabetics | Medical Insurance Cost with EDA + OLS Regression | Predicting Customer Risk by Home Equity Loan | CLICK TO SEE MORE
Companion code for Aerospike Modeling: User Profile Store
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