<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Delta Lake on</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/deltalake/</link><description>Recent content in Delta Lake 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/deltalake/index.xml" rel="self" type="application/rss+xml"/><item><title>Delta Lake Batch ETL Source</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/deltalake/deltalake-batch-channel-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/deltalake/deltalake-batch-channel-etl-source/</guid><description>Delta Lake allows you to read data from Delta tables stored on S3, DBFS, ADLS, and GCS. It provides a structured and transactional approach to reading and processing data. In batch ETL, it&amp;rsquo;s common to extract and process historical data stored on these platforms.
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>Delta Lake Streaming ETL Source</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/deltalake/deltalake-streaming-channel-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/deltalake/deltalake-streaming-channel-etl-source/</guid><description>Delta Lake allows you to read data from Delta tables stored on S3, DBFS, ADLS, and GCS. It provides a structured and transactional approach to reading and processing data. In streaming ETL, real-time data can be ingested and processed, making it valuable for near real-time analytics and event-driven applications.
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>Delta Lake ETL Target</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/deltalake/deltalake-emitter-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/deltalake/deltalake-emitter-etl-target/</guid><description>The Delta emitter for S3 is particularly useful when you want to write and store data processed by your ETL application into S3. It leverages Delta Lake&amp;rsquo;s transactional capabilities to ensure data consistency and reliability when storing data in S3.
Target Configuration # Configure the target parameters that are explained below.
Emitter Type # Select a target for writing the delta files. Options are S3, DBFS, ADLS, or GCS.
Connection Name # Provide connection details for S3, DBFS, ADLS, or GCS based on the chosen source.</description></item></channel></rss>