Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
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Updated
Jun 1, 2024 - Python
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
Code examples and resources for DBRX, a large language model developed by Databricks
🧱 Databricks CLI eXtensions - aka dbx is a CLI tool for development and advanced Databricks workflows management.
This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.
Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POCs, and other uses in Databricks environments including in Delta Live Tables pipelines
Testing framework for Databricks notebooks
Manage your Databricks deployments and CI with code.
The Lakehouse Engine is a configuration driven Spark framework, written in Python, serving as a scalable and distributed engine for several lakehouse algorithms, data flows and utilities for Data Products.
Your best companion for upgrading to Unity Catalog. UCX will guide you, the Databricks customer, through the process of upgrading your account, groups, workspaces, jobs etc. to Unity Catalog.
This repository will help you to learn about databricks concept with the help of examples. It will include all the important topics which we need in our real life experience as a data engineer. We will be using pyspark & sparksql for the development. At the end of the course we also cover few case studies.
ML Ops Accelerator: Databricks & Azure Machine Learning Unification
A simplified, autogenerated API client interface using the databricks-cli package
Gateway into the John Snow Labs Ecosystem
In this solution, we offer a novel approach to sustainable finance by combining NLP techniques and news analytics to extract key strategic ESG initiatives and learn companies' commitments to corporate responsibility
Prefect integrations for interacting with Databricks.
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