<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Bo Li &#8211; Noise</title>
	<atom:link href="https://noise.getoto.net/author/bo-li/feed/" rel="self" type="application/rss+xml" />
	<link>https://noise.getoto.net</link>
	<description>The collective thoughts of the interwebz</description>
	<lastBuildDate>Fri, 20 Dec 2024 20:37:17 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.8.2</generator>
	<item>
		<title>Amazon Q data integration adds DataFrame support and in-prompt context-aware job creation</title>
		<link>https://noise.getoto.net/2024/12/20/amazon-q-data-integration-adds-dataframe-support-and-in-prompt-context-aware-job-creation/</link>
		
		<dc:creator><![CDATA[Bo Li]]></dc:creator>
		<pubDate>Fri, 20 Dec 2024 20:37:17 +0000</pubDate>
				<category><![CDATA[Amazon Q]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=f6beb664c6d43bb7d1bff71efe72b99d</guid>

					<description><![CDATA[Amazon Q data integration, introduced in January 2024, allows you to use natural language to author extract, transform, load (ETL) jobs and operations in AWS Glue specific data abstraction DynamicFrame. This post introduces exciting new capabilities for Amazon Q data integration that work together to make ETL development more efficient and intuitive. We’ve added support for DataFrame-based code generation that works across any Spark environment. We’ve also introduced in-prompt context-aware development that applies details from your conversations, working seamlessly with a new iterative development experience.]]></description>
		
		
		<enclosure url="https://d2908q01vomqb2.cloudfront.net/artifacts/DBSBlogs/BDB-4860/bdb-4860-vid1.mp4" length="79835865" type="video/mp4" />
<enclosure url="https://d2908q01vomqb2.cloudfront.net/artifacts/DBSBlogs/BDB-4860/bdb-4860-vid2.mp4" length="40735020" type="video/mp4" />

			</item>
		<item>
		<title>Developing, testing, and deploying custom connectors for your data stores with AWS Glue</title>
		<link>https://noise.getoto.net/2021/01/21/developing-testing-and-deploying-custom-connectors-for-your-data-stores-with-aws-glue/</link>
		
		<dc:creator><![CDATA[Bo Li]]></dc:creator>
		<pubDate>Wed, 20 Jan 2021 22:41:13 +0000</pubDate>
				<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Marketplace]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=d0f5a5cc077edd1302260f7bf70761a8</guid>

					<description><![CDATA[AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development. AWS Glue already integrates with various popular data stores such as the Amazon Redshift, RDS, MongoDB, and Amazon S3. Organizations continue to evolve and use a variety of data stores that best fit […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
	</channel>
</rss>

<!--
Performance optimized by W3 Total Cache. Learn more: https://www.boldgrid.com/w3-total-cache/

Object Caching 25/65 objects using Memcached
Page Caching using Disk: Enhanced 
Lazy Loading (feed)
Database Caching using Memcached

Served from: noise.getoto.net @ 2026-03-13 12:13:08 by W3 Total Cache
-->