Migrate daily partitions from Redshift to Bigquery
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Updated
Feb 11, 2019 - Jupyter Notebook
Migrate daily partitions from Redshift to Bigquery
The goal of this project is to build data pipeline for gathering real-time carpark lots availability and weather datasets from Data.gov.sg. These data are extracted via API, and stored them in the S3 bucket before ingesting them into the Data Warehouse.
Data warehouse and ETL pipeline using Amazon Redshift
data warehouse & data modelling in AWS using s3 and Redshift
Load data from the Million Song Dataset into AWS RedShift.
ETL pipeline that extracts their data from S3, stages them in Redshift, and transforms data into a set of dimensional tables for their analytics team to continue finding insights in what songs their users are listening to. Then we will test the database and ETL pipeline by running queries given to us by the analytics team from Sparkify and compa…
This project is part of Udacity Nano degree programme. This project consists of building a data-warehouse using Amazon Redshift, creating an ETL process to load data from aws s3 storage into the data-warehouse using Python and SQL..
Built an ETL pipeline that extracts data from S3, stages it in Redshift, and transforms into a set of dimensional tables for the Analytics Team.
Data Engineering Project Using Airflow, S3, & Redshift
Building ETL pipeline that extracts data from S3, stages them in Redshift, and transform data into a set of dimensional tables for their analytics team.
🌤 Create a cloud data warehouse on AWS Redshift
Sparkly data warehouse on AWS Redshift
A ReactJS application to help determine the resultant data type (especially precision and scale for numeric data types) based on the input data types for Amazon Redshift (cloud data warehouse) database service.
Data Engineering Nanodegree Program
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