saurabhshukla-db Goto Github PK

cicd-pipeline-train-schedule-git

Train Schedule sample app for Git exercises

content-terraform-2021

Using Terraform to Manage Applications and Infrastructure, 2021

course-introduction-to-azure-devops

csasoutheast

MS CSA Southeast Office Hours Repo

csharp-to-python

Python script for converting C# code to Python.

databricks-asset-bundles-dais2023

databricks-audit-logs

databricks-nutter-projects-demo

Demo of using the Nutter for testing of Databricks notebooks in the CI/CD pipeline

databricks-tpc-di

Databricks Implementation of the TPC-DI Specification using Traditional Notebooks and/or Delta Live Tables

databrickslabs_sandbox

Experimental and low-maturity scripts

dataestate-benchmarks

This repo is the public repository which hosts the TPC benchmarks we use to gauge system performance.

datakickstart_dabs

Example of project using Databricks Asset Bundle

db-benchmark

reproducible benchmark of database-like ops

db-migration

Databricks Migration Tools

dbsql_azure_func

dbsql_sme

DBSQL SME Repo contains demos, tutorials, blog code, advanced production helper functions and more!

dbx

CLI tool for advanced Databricks jobs management.

delta-examples

Delta Lake examples

delta-live-tables-notebooks

devops-for-databricks

devops-for-databricks

duckdb

DuckDB is an in-process SQL OLAP Database Management System

hands-on-application-development-with-pycharm

Hands-On Application Development with PyCharm, published by Packt

intro-to-repos

learn-terraform-github-actions

learningsparkv2

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

migrate

Scripts to help customers with one-off migrations between Databricks workspaces.

mlops-stacks

This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.

overwatch

Capture deep metrics on one or all assets within a Databricks workspace

progfun-wiki-scala

scala repo from coursera course

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media