<?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>Amazon SageMaker Data Wrangler &#8211; Noise</title>
	<atom:link href="https://noise.getoto.net/tag/amazon-sagemaker-data-wrangler/feed/" rel="self" type="application/rss+xml" />
	<link>https://noise.getoto.net</link>
	<description>The collective thoughts of the interwebz</description>
	<lastBuildDate>Mon, 03 Jul 2023 18:20:12 +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>AWS Week in Review – Generative AI with LLM Hands-on Course, Amazon SageMaker Data Wrangler Updates, and More – July 3, 2023</title>
		<link>https://noise.getoto.net/2023/07/03/aws-week-in-review-generative-ai-with-llm-hands-on-course-amazon-sagemaker-data-wrangler-updates-and-more-july-3-2023/</link>
		
		<dc:creator><![CDATA[Donnie Prakoso]]></dc:creator>
		<pubDate>Mon, 03 Jul 2023 18:20:12 +0000</pubDate>
				<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Amazon SageMaker Data Wrangler]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Cloud Development Kit]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Week in Review]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=6b1b2debd0dff705d503e1ce3008df83</guid>

					<description><![CDATA[In last week’s AWS Week in Review post, Danilo mentioned that it’s summer in London. Well, I’m based in Singapore, and it’s mostly summer here. But, June is a special month here as it marks the start of durian season. Starting next week, I’ll be travelling to Thailand, Malaysia, and the Philippines. But before I […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>New — Introducing Support for Real-Time and Batch Inference in Amazon SageMaker Data Wrangler</title>
		<link>https://noise.getoto.net/2022/11/30/new-introducing-support-for-real-time-and-batch-inference-in-amazon-sagemaker-data-wrangler/</link>
		
		<dc:creator><![CDATA[Donnie Prakoso]]></dc:creator>
		<pubDate>Wed, 30 Nov 2022 18:14:14 +0000</pubDate>
				<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker Data Wrangler]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=d56b571a5a7fdffeb27a2c78393de186</guid>

					<description><![CDATA[To build machine learning models, machine learning engineers need to develop a data transformation pipeline to prepare the data. The process of designing this pipeline is time-consuming and requires a cross-team collaboration between machine learning engineers, data engineers, and data scientists to implement the data preparation pipeline into a production environment. The main objective of […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>New — Amazon SageMaker Data Wrangler Supports SaaS Applications as Data Sources</title>
		<link>https://noise.getoto.net/2022/11/30/new-amazon-sagemaker-data-wrangler-supports-saas-applications-as-data-sources/</link>
		
		<dc:creator><![CDATA[Donnie Prakoso]]></dc:creator>
		<pubDate>Wed, 30 Nov 2022 18:12:05 +0000</pubDate>
				<category><![CDATA[Amazon AppFlow]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker Data Wrangler]]></category>
		<category><![CDATA[Application Integration]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=c4e93062fc320b2cb12557ecea99a5cb</guid>

					<description><![CDATA[Data fuels machine learning. In machine learning, data preparation is the process of transforming raw data into a format that is suitable for further processing and analysis. The common process for data preparation starts with collecting data, then cleaning it, labeling it, and finally validating and visualizing it. Getting the data right with high quality […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Detecting data drift using Amazon SageMaker</title>
		<link>https://noise.getoto.net/2022/05/03/detecting-data-drift-using-amazon-sagemaker/</link>
		
		<dc:creator><![CDATA[Shibu Nair]]></dc:creator>
		<pubDate>Tue, 03 May 2022 14:18:36 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon CloudWatch]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker Data Wrangler]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=14a24c32a9e3d26fde4f9d82f1c5cbb4</guid>

					<description><![CDATA[As companies continue to embrace the cloud and digital transformation, they use historical data in order to identify trends and insights. This data is foundational to power tools, such as data analytics and machine learning (ML), in order to achieve high quality results. This is a time where major disruptions are not only lasting longer, […]]]></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 43/98 objects using Memcached
Page Caching using Disk: Enhanced 
Lazy Loading (feed)
Database Caching using Memcached

Served from: noise.getoto.net @ 2025-12-10 07:01:43 by W3 Total Cache
-->