Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

🍁 Sycamore is an LLM-powered search and analytics platform for unstructured data.

A curated list of example code to collect data from Web APIs using DataPrep.Connector.

A dashboard is worth a thousand words => https://datastudio.google.com/reporting/755f3183-dd44-4073-804e-9f7d3d993315

Stream Twitter Data into BigQuery with Cloud Dataprep

Google Cloud Functions examples for Google Cloud Dataprep

Assets for the demonstration of the blog post "How to Automate a Cloud Dataprep Pipeline When a File Arrives"

Make your dataset talk to you. The AI assistant for data preparation.

In this repository, we would see different available libraries for Exploratory Data Analysis

The core library of osDQ

Detecting fraud in real-time using machine learning and data analysis. Web app for ease of use.

Trigger a Dataflow job when a file is uploaded to Cloud Storage using a Cloud Function

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

Full ELT process on GCP environment.

Google Cloud (GCP) Dataflow Implementation to Ingest data into BigQuery

mltrons dptron: Dirty Data in, Clean Data Out!

A example for writing custom directives

EDA development, ETL, API creation, query generation, deploy on two different platforms.

Time series regression with LSTMs predicting PM2.5 concentration in China