<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Azure Data Catalog on</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/azure_data_catalog/</link><description>Recent content in Azure 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/azure_data_catalog/index.xml" rel="self" type="application/rss+xml"/><item><title>Azure Data Catalog Connection</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/azure_data_catalog/azure_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/azure_data_catalog/azure_data_catalog_connection/</guid><description>💡 Azure Data Catalog is a Premium Connector. See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium Azure Data Catalog connector.
Azure Data Catalog is a project management tool.
This topic describes how to authenticate to Azure Data Catalog and configure any necessary connection properties in the Azure Data Catalog connection connector.
Connection Configuration # Each connection property available in the Azure Data Catalog connector is explained below.</description></item><item><title>Azure Data Catalog Ingestion Source</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/azure_data_catalog/azure_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/azure_data_catalog/azure_data_catalog_ingestion_source/</guid><description>💡 Azure Data Catalog is a Premium Connector. See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium Azure 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>Azure Data Catalog ETL Source</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/azure_data_catalog/azure_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/azure_data_catalog/azure_data_catalog_etl_source/</guid><description>💡 Azure Data Catalog is a Premium Connector. See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium Azure 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>Azure Data Catalog Incremental Configuration</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/azure_data_catalog/azure_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/azure_data_catalog/azure_data_catalog_incremental_configuration/</guid><description>💡 Azure Data Catalog is a Premium Connector. See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium Azure 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>