A data pipeline that provides with web-scraped information from Steam
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Updated
Mar 15, 2024 - Python
A data pipeline that provides with web-scraped information from Steam
This repository contains an example project (Jaffle Shop) demonstrating integration between Superset and dbt, with BigQuery as the data warehouse.
Run an open-source data LakeHouse locally using Docker Compose
DE Project to keep track of my personal health metrics in a Data Warehouse
Minimalistic and free Modern Data Stack, hence for all. Visualisation layer.
Dockerised version of apache superset
airflow and data science playground
A batch processing data pipeline, using AWS resources (S3, EMR, Redshift, EC2, IAM), provisioned via Terraform, and orchestrated from locally hosted Airflow containers. The end product is a Superset dashboard and a Postgres database, hosted on an EC2 instance at this address (powered down):
The simple bot to share your favourite movies with friends
Quick demo of modern tech stack for streaming data pipelines
Apache Superset - Authentication Bypass
Traduction FR de Superset
Project files for the post: Installing Apache Superset on Amazon EMR: Add data exploration and visualization to your analytics cluster.
This project provides a SQLAlchemy driver for Apache Ignite. It was built to enable (ad-hoc) data exploration and visualization of datasets managed by Apache Ignite.
An End-to-End ETL data pipeline that leverages pyspark parallel processing to process about 25 million rows of data coming from a SaaS application using Apache Airflow as an orchestration tool and various data warehouse technologies and finally using Apache Superset to connect to DWH for generating BI dashboards for weekly reports
A batch processing data pipeline, using AWS resources (S3, EMR, Redshift, EC2, IAM), provisioned via Terraform, and orchestrated from locally hosted Airflow containers. The end product is a Superset dashboard and a Postgres database, hosted on an EC2 instance at this address (powered down):
Apache Solr dialect for SQLAlchemy
This is my Apache Airflow Local development setup on Windows 10 WSL2/Mac using docker-compose. It will also include some sample DAGs and workflows.
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