<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>DataAgent on Cloudkaramchari</title><link>https://www.cloudkaramchari.com/tags/dataagent/</link><description>Recent content in DataAgent on Cloudkaramchari</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>cloudkaramchari</copyright><lastBuildDate>Fri, 03 Apr 2026 17:03:57 +0530</lastBuildDate><atom:link href="https://www.cloudkaramchari.com/tags/dataagent/index.xml" rel="self" type="application/rss+xml"/><item><title>Amazon SageMaker Data Agent Simplifies Data Prep in 2026: A Deep Dive</title><link>https://www.cloudkaramchari.com/blog/amazon_sagemaker_data_agent_simplifies_data_prep_in_2026_a_deep_dive/</link><pubDate>Fri, 03 Apr 2026 17:03:57 +0530</pubDate><guid>https://www.cloudkaramchari.com/blog/amazon_sagemaker_data_agent_simplifies_data_prep_in_2026_a_deep_dive/</guid><description>
&lt;h1 id="amazon-sagemaker-data-agent-simplifies-data-prep-in-2026-a-deep-dive">Amazon SageMaker Data Agent Simplifies Data Prep in 2026: A Deep Dive&lt;/h1>
&lt;p>The year is 2026, and the world of machine learning continues to evolve at a breakneck pace. One of the biggest challenges facing data scientists and ML engineers remains: preparing data for model training. Amazon Web Services (AWS) is tackling this head-on with the continued evolution of SageMaker, specifically with advancements in its Data Agent. In March 2026, a significant update focused on a new chart-based approach (MV – likely standing for Model View or Minimal Viable) that promises to revolutionize how data is managed and prepared within SageMaker. Let's dive into what this means for you.&lt;/p></description></item></channel></rss>