<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Azure Blob on</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/azure-blob/</link><description>Recent content in Azure Blob 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-blob/index.xml" rel="self" type="application/rss+xml"/><item><title>Azure Blob Connection</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/azure-blob/azure-blob-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-blob/azure-blob-connection/</guid><description>Connection Configuration # Connection Name Name of the connection to be created.
Scope: Define the connection scope to customize their accessibility.
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.
Private: Accessible only to the connection owner for usage in applications.
Container Select the container from the provided list.</description></item><item><title>Azure Blob Batch Source</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/azure-blob/azure-blob-etl-batch-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-blob/azure-blob-etl-batch-source/</guid><description>An Azure Blob Batch channel reads different formats of data in batch (json, csv, orc, parquet) from container. It can omit data into any emitter.
Configuring an Azure Blob Data Source # To add an Azure Blob Data Source into your pipeline, drag the Data Source to the canvas and right click on it to configure.
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 blob ETL Streaming Source</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/azure-blob/azure-blob-etl-streaming-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-blob/azure-blob-etl-streaming-source/</guid><description>An Azure Blob Stream channel reads different formats of streaming data (json, csv, orc, parquet) from container and emit data into different containers.
Configuring an Azure Blob Data Source # To add an Azure Blob Data Source into your pipeline, drag the Data Source to the canvas and right click on it to configure.
Under the Schema Type tab, you can Upload Data File and Fetch From Source.
Connection Name Select the connection name from the available list of connections, from where you would like to read the data.</description></item><item><title>Azure Blob ETL Target</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/azure-blob/azure-blob-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/azure-blob/azure-blob-etl-target/</guid><description>On a Blob Emitter you should be able to write data to different formats (json, csv, orc, parquet, and more) of data to blob containers by specifying directory path.
Azure Blob Emitter Configuration # To add an Azure Blob emitter into your pipeline, drag the emitter to the canvas and connect it to a Data Source or processor.
👉 If the data source in pipeline has a streaming component, then the emitter will show four additional properties: Checkpoint Storage Location, Checkpoint Connections, Checkpoint Directory, and Time-Based checkpoint.</description></item></channel></rss>