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	<title>Deenbandhu Prasad &#8211; Noise</title>
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		<title>Getting started with AWS Glue Data Quality for ETL Pipelines</title>
		<link>https://noise.getoto.net/2022/12/16/getting-started-with-aws-glue-data-quality-for-etl-pipelines/</link>
		
		<dc:creator><![CDATA[Deenbandhu Prasad]]></dc:creator>
		<pubDate>Fri, 16 Dec 2022 18:04:15 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Glue Data Quality]]></category>
		<category><![CDATA[ETL Pipelines]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[Today, hundreds of thousands of customers use data lakes for analytics and machine learning. However, data engineers have to cleanse and prepare this data before it can be used. The underlying data has to be accurate and recent for customer to make confident business decisions. Otherwise, data consumers lose trust in the data and make […]]]></description>
		
		
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		<title>Effective data lakes using AWS Lake Formation, Part 4: Implementing cell-level and row-level security</title>
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		<dc:creator><![CDATA[Deenbandhu Prasad]]></dc:creator>
		<pubDate>Mon, 28 Jun 2021 19:53:15 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
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					<description><![CDATA[We announced the preview of AWS Lake Formation transactions, cell-level and row-level security, and acceleration at AWS re: Invent 2020. In Parts 1 , 2, and 3 of this series, we explained how to set up governed tables, add streaming and batch data to them, and use ACID transactions. In this post, we focus on […]]]></description>
		
		
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