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database_cleaner-data_mapper

database_cleaner-mongo

Strategies for cleaning Mongo databases in Ruby. Can be used to ensure a clean state for testing.

database_cleaner-mongo_mapper

database_cleaner-mongoid

database_cleaner-moped

database_cleaner-neo4j

Strategies for cleaning Neo4j databases using Ruby. Can be used to ensure a clean state for testing.

database_cleaner-ohm

database_cleaner-redis

database_cleaner-sequel

database_password_resetter

Database Password Resetter (aka. Gawker Mess Cleaner). A script that will find users in your database that been compromised by the Gawker hacked database and reset their passwords.

databinding-samples

databox-adls-loader

Tools and scripts to load data from Hadoop clusters to Azure Data Lake Storage using Data Box

databrewery-evolution

Evolution proposals

databrewery.github.io

Brewery Home Page

databricks-dev

databricks-rest-client

databricks-sa-demo

databricks-sdk-golang

This is a Golang SDK for Azure DataBricks REST API 2.0

databricks_dbt_demo_project

dbt Cloud project for Databricks SQL Analytics Demos

databricks_dbt_partner_demo

databuilderframework

A data driven execution engine

datacanvas-export

datacardsplaybook

The Data Cards Playbook helps dataset producers and publishers adopt a people-centered approach to transparency in dataset documentation.

datacatalog

Data Catalog is a service for indexing parameterized, strongly-typed data artifacts across revisions.

datacatalog-connectors

Commons code used by the Data Catalog connectors, and links for the connectors sample code.

datacatalog-connectors-bi

Sample code with integration between Data Catalog and BI data sources.

datacatalog-connectors-hive

Sample code with integration between Data Catalog and Hive data source.

datacatalog-connectors-rdbms

Sample code with integration between Data Catalog and RDBMS data sources.

datacatalog-tag-engine

datacatalog-tag-history

Historical metadata of your data warehouse is a treasure trove to discover not just insights about changing data patterns, but also quality and user behaviour. This solution creates Data Catalog Tags history in BigQuery since Data Catalog keeps only the latest version of metadata for fast searchability.