Alex Ott's repositories
databricks-nutter-repos-demo
Demo of using the Nutter for testing of Databricks notebooks in the CI/CD pipeline
databricks-playground
Code samples, etc. for Databricks
spark-playground
Playing with different packages of the Apache Spark
dlt-files-in-repos-demo
Demonstration of using Files in Repos with Databricks Delta Live Tables
databricks-dbt-playground
Playing with DBT on Databricks
terraform-playground
Different snippets of Terraform code. Primarily around Databricks
terraform-databricks-pipeline
This repo contains terraform resources to deploy an example of Databricks objects
databricks-sdk-go
Databricks SDK for Go
databricks-sdk-py
Databricks SDK for Python
databricks-sql-python
Databricks SQL Connector for Python
pySigma-backend-databricks
pySigma Databricks backend
security-analysis-tool
Security Analysis Tool (SAT) analyzes customer's Databricks account and workspace security configurations and provides recommendations that help them follow Databrick's security best practices. When a customer runs SAT, it will compare their workspace configurations against a set of security best practices and delivers a report.
terraform-databricks-examples
Examples of using Terraform to deploy Databricks resources
terraform-provider-azurerm
Terraform provider for Azure Resource Manager
tfsec-databricks
Custom checks for tfsec for Databricks-related resources
dbx-stable-url
A small Terraform Repository to create Stable URL infrastructure in AWS and Azure.
opentofu
OpenTofu lets you declaratively manage your cloud infrastructure.
R-User-Guide
R user guide to Databricks
spark-upgrade
Magic to help Spark pipelines upgrade
splunk-integration
Databricks Add-on for Splunk
Suspicious-User-Activity-Demo
This is a Databricks Cybersecurity demo for building linked detection, investigation and response jobs in Databricks
terraform
Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.