A continuous integration tool for Looker and LookML.
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Updated
Dec 9, 2024 - Python
A continuous integration tool for Looker and LookML.
A tool to help deploy objects from one Looker instance to another
Sample code with integration between Data Catalog and BI data sources.
Looker + OpenAI GPT-3 + LangChain Demo application
This project leverages GCS, Composer, Dataflow, BigQuery, and Looker on Google Cloud Platform (GCP) to build a robust data engineering solution for processing, storing, and reporting daily transaction data in the online food delivery industry.
An educational project to build an end-to-end pipline for near real-time and batch processing of data further used for visualisation and a machine learning model.
Spotify API, Airflow, Docker, AWS S3, Snowflake, dbt, localstack, Looker Studio
Deploying ETL pipeline on cloud, analyzing on BigQuery, dashboarding on Looker Studio
Build a dependency graph of your Looker models, explores and views based on LookML files
A collection of Airflow extensions to provide integration with Looker
Visualize LookML contents as a network diagram in an interactive Plotly figure.
Full ELT process on GCP environment.
Using OpenSky API to track flights in real-time. Kafka + MemSQL/BigQuery
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