Dashboards and notebooks in a single place. Create powerful and flexible dashboards using code, or build beautiful Notion-like notebooks and share them with your team.

Quix Notebook Manager

🍟 a notebook sql client. what you get when have a lot of sequels.

This repository includes end-to-end labs on how to use GCP for applied data science

Tellery lets you build metrics using SQL and bring them to your team. As easy as using a document. As powerful as a data modeling tool.

How to Automate SQL: dbt(data build tool) tutorial on bigquery with extensive NOTES 📓

AI/ML Recipes for Vertex AI, Serverless Spark and BigQuery open-source project is an effort to jumpstart your development of data processing and machine learning notebooks using VertexAI, BigQuery and Dataproc's distributed processing capabilities.

This repository contains all practice notebooks with which I performed hands-on labs in Google Cloud Training Program's "Cloud ML-AI Track"

A series of instructive and educational notebooks organized by topic areas.

A collection of R notebooks to analyze data from the Digital Optimization Group Platform

This is a study project. I get analytics/ML examples from Kaggle and use different technologies to re-implement them.

using Google BigQuery to scale to massive datasets

Notebooks for GCP services

Extract BigQuery tables in Databricks Notebook

GCP_Data_Enginner

A BigQuery Studio Notebook to simplify the analysis of Google Analytics 4 (GA4) event parameters.

Jupyter notebooks that utilize Google BigQuery's machine learning capabilities.

Sample queries and visualizations using Google BigQuery in a Python notebook.

Jupyter notebooks exploring AI for analytics: EDA, cleaning, NL→SQL, governed BI insights.

This is where i put my practice in SQL mostly in Bigquery using Jupyter Notebook