<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MarkLogic on</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/marklogic/</link><description>Recent content in MarkLogic 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/marklogic/index.xml" rel="self" type="application/rss+xml"/><item><title>MarkLogic Connection</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/marklogic/marklogic-connection/</link><pubDate>Mon, 12 Dec 2022 19:50:16 +0530</pubDate><guid>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/marklogic/marklogic-connection/</guid><description>💡 MarkLogic is a Premium Connector. See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium MarkLogic connector.
MarkLogic stands at the forefront of efficient data integration, enabling organizations to embrace dynamic NoSQL solutions seamlessly.
This topic describes how to authenticate to MarkLogic and configure any necessary connection properties in the MarkLogic connection connector.
Connection Configuration # Each connection property available in the MarkLogic connector is explained below.</description></item><item><title>MarkLogic Ingestion Source</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/marklogic/marklogic-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/marklogic/marklogic-ingestion-source/</guid><description>💡 MarkLogic is a Premium Connector. See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium MarkLogic 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>MarkLogic ETL Source</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/marklogic/marklogic-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/marklogic/marklogic-etl-source/</guid><description>💡 MarkLogic is a Premium Connector. See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium MarkLogic 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>MarkLogic Incremental Configuration</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/marklogic/marklogic-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/marklogic/marklogic-incremental-configuration/</guid><description>💡 MarkLogic is a Premium Connector. See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium MarkLogic 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>