Joseph Higaki (joseph-higaki)

joseph-higaki

Geek Repo

Location:Barcelona, Spain

Github PK Tool:Github PK Tool

Joseph Higaki's repositories

etl_adventureworks_sales_purchases_datamart

ETL process using Pentaho Data Integration (Kettle), for Sales and Purchases Datamarts from Adventureworks, as the final project from the Data Management course from the Big Data & Analytics Masters @ EAE class of 2021

Language:JavaStargazers:1Issues:0Issues:0
Language:JavaStargazers:0Issues:0Issues:0
Language:JavaStargazers:0Issues:0Issues:0
Language:TypeScriptStargazers:0Issues:1Issues:0

music-hit-decorate-datasets

Python console program that fetches data from Instagram and Music Story. It will add artists' social media information into the datasets that we will use to predict a song's popularity. This is a group project from Data Science and Advanced Analytics course from the Big Data & Analytics Masters @ EAE class of 2021.

Stargazers:0Issues:1Issues:1

music-hit-general

Using Machine Learning Models to predict a song's popularity, this is a group project from the Data Science and Advanced Analytics course from the Big Data & Analytics Masters @ EAE class of 2021.

Stargazers:0Issues:0Issues:0

supervised-learning-R

Supervised learning models, an assignment from the Data Science and Advanced Analytics course from the Big Data & Analytics Masters @ EAE class of 2021

Language:RStargazers:0Issues:0Issues:0
Language:JavaScriptStargazers:0Issues:0Issues:0

asset-ticker-vs-tweets

Extracting tweets from crypto influencers on a given timeline, identifying keywords related to a cryptocurrency, and visualize the tweets along with a price line chart from the asset. This is a group assignment from the Big Data Technology and Architecture course from the Big Data and Analytics Masters at EAE class of 2021

Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0

intro-to-R

Intro to R, assignment from the Data Science and Advanced Analytics course from the Big Data & Analytics Masters @ EAE class of 2021

Language:RStargazers:0Issues:0Issues:0

joseph-higaki

My personal profile

Stargazers:0Issues:0Issues:0

music-hit-analyze-data

Using Machine Learning Models to predict a song's popularity, this is a group project from the Data Science and Advanced Analytics course from the Big Data & Analytics Masters @ EAE class of 2021.

Stargazers:0Issues:0Issues:0
License:NOASSERTIONStargazers:0Issues:0Issues:0

searchfight

Rank and compare keywords by results on search engines

Language:C#Stargazers:0Issues:0Issues:0

UDataEng_L02P01_create-song-play-schema

Udacity Data Engineering Nanodegree program. Lesson 02 Project 01. Create a datamart for songs and songplays

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

UDataEng_L03_P02_S3toRedshiftDW

Assignment Udacity data engineering load Redshift from S3

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

UDataEng_L03E02_IaC-101

IaC over AWS with Python

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

UDataEng_L03E03_IngestParallelFiles_Redshift

Notebook to ingest / compare processing time loading full vs partitioned csv's into Redshift

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

UDataEng_L03E04_OptimizeRedshiftTableDesign

Notebook to compare Redshift processing (load / query times) using different distribution strategies

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

UDENG_L02P02_Modeling_Cassandra

Creates a Cassandra keyspace and loads song streaming data to answer 3 questions

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

visualization_heineken_sales

Sales Dashboards using Power BI, for Heineken Sales and Nielsen Beer Market Data, as the final project from the Data Visualization course from the Big Data & Analytics Masters @ EAE class of 2021

Stargazers:0Issues:1Issues:1