<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Google Data Catalog on</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/google_data_catalog/</link><description>Recent content in Google Data Catalog on</description><generator>Hugo -- gohugo.io</generator><lastBuildDate>Sun, 11 Dec 2022 19:37:55 +0530</lastBuildDate><atom:link href="https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/google_data_catalog/index.xml" rel="self" type="application/rss+xml"/><item><title>Google Data Catalog Connection</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/google_data_catalog/google_data_catalog_connection/</link><pubDate>Mon, 12 Dec 2022 19:50:16 +0530</pubDate><guid>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/google_data_catalog/google_data_catalog_connection/</guid><description>💡 Google Data Catalog is a Premium Connector. See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium Google Data Catalog connector.
Google Data Catalog is a service that helps organizations discover, manage, and understand their data assets across different platforms and environments.
This topic describes how to authenticate to Google Data Catalog and configure any necessary connection properties in the Google Data Catalog connection connector.</description></item><item><title>Google Data Catalog Ingestion Source</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/google_data_catalog/google_data_catalog_ingestion_source/</link><pubDate>Mon, 12 Dec 2022 19:50:16 +0530</pubDate><guid>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/google_data_catalog/google_data_catalog_ingestion_source/</guid><description>💡 Google Data Catalog is a Premium Connector. See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium Google Data Catalog connector.
In Gathr, it can be added as a channel to help in fetching customers&amp;rsquo; and prospects&amp;rsquo; data and transform it as needed before storing it in a desired data warehouse to run further analytics.
Data Source Configuration # Configure the data source parameters as explained below.</description></item><item><title>Google Data Catalog ETL Source</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/google_data_catalog/google_data_catalog_etl_source/</link><pubDate>Mon, 12 Dec 2022 19:50:16 +0530</pubDate><guid>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/google_data_catalog/google_data_catalog_etl_source/</guid><description>💡 Google Data Catalog is a Premium Connector. See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium Google Data Catalog connector.
In Gathr, it can be added as a channel to help in fetching customers&amp;rsquo; and prospects&amp;rsquo; data and transform it as needed before storing it in a desired data warehouse to run further analytics.
Schema Type # See the topic Provide Schema for ETL Source → to know how schema details can be provided for data sources.</description></item><item><title>Google Data Catalog Incremental Configuration</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/google_data_catalog/google_data_catalog_incremental_configuration/</link><pubDate>Mon, 12 Dec 2022 19:50:16 +0530</pubDate><guid>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/google_data_catalog/google_data_catalog_incremental_configuration/</guid><description>💡 Google Data Catalog is a Premium Connector. See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium Google Data Catalog connector.
Enable Incremental Read # Use this method to fetch only the new or modified records instead of an entire data load.
Define the conditions to control the incremental data load during application runtime.
Column # A column should be selected that can act as a reference to identify changes in the data source from the last data movement.</description></item></channel></rss>