<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Kudu on</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/kudu/</link><description>Recent content in Kudu 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/kudu/index.xml" rel="self" type="application/rss+xml"/><item><title>Kudu Connection</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/kudu/kudu-connection/</link><pubDate>Mon, 12 Dec 2022 19:50:16 +0530</pubDate><guid>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/kudu/kudu-connection/</guid><description>Configure the fields required to create the connection as explained below.
Connection Name # Enter a unique name for this connection.
Scope # When creating connections, users can define the scope to customize their accessibility.
You can set the connection scope as follows:
Organization: Accessible to organization users across all Gathr projects for usage in applications.
Project: Accessible to organization users limited to projects that are specified by the connection owner for usage in applications.</description></item><item><title>Kudu ETL Source</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/kudu/kudu-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/kudu/kudu-etl-source/</guid><description>Apache Kudu is a column-oriented data store of the Apache Hadoop ecosystem. It enable fast analytics on fast (rapidly changing) data. The channel is engineered to take advantage of hardware and in-memory processing. It lowers query latency significantly from similar type of tools.
Schema Type # See the topic Provide Schema for ETL Source → to know how schema details can be provided for data sources.
After providing schema type details, the next step is to configure the data source.</description></item><item><title>Kudu ETL Target</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/kudu/kudu-etl-target/</link><pubDate>Mon, 12 Dec 2022 19:50:16 +0530</pubDate><guid>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/kudu/kudu-etl-target/</guid><description>Apache Kudu is a column-oriented data store of the Apache Hadoop ecosystem. It enable fast analytics on fast (rapidly changing) data. The emitter is engineered to take advantage of hardware and in-memory processing. It lowers query latency significantly from similar type of tools.
Target Configuration # Each configuration property available in the Kafka emitter is explained below.
Connection Name # Connections are the service identifiers. A connection name can be selected from the list if you have created and saved connection details for Kudu earlier.</description></item></channel></rss>