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	<title>ETL Pipelines &#8211; Noise</title>
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		<title>Modernize your ETL platform with AWS Glue Studio: A case study from BMS</title>
		<link>https://noise.getoto.net/2023/12/13/modernize-your-etl-platform-with-aws-glue-studio-a-case-study-from-bms/</link>
		
		<dc:creator><![CDATA[Sivaprasad Mahamkali]]></dc:creator>
		<pubDate>Wed, 13 Dec 2023 16:28:38 +0000</pubDate>
				<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[ETL Pipelines]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Migration]]></category>
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					<description><![CDATA[This post is co-written with Ramesh Daddala, Jitendra Kumar Dash and Pavan Kumar Bijja from Bristol Myers Squibb. Bristol Myers Squibb (BMS) is a global biopharmaceutical company whose mission is to discover, develop, and deliver innovative medicines that help patients prevail over serious diseases. BMS is consistently innovating, achieving significant clinical and regulatory successes. In […]]]></description>
		
		
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		<title>Build an ETL process for Amazon Redshift using Amazon S3 Event Notifications and AWS Step Functions</title>
		<link>https://noise.getoto.net/2023/08/31/build-an-etl-process-for-amazon-redshift-using-amazon-s3-event-notifications-and-aws-step-functions/</link>
		
		<dc:creator><![CDATA[Ziad Wali]]></dc:creator>
		<pubDate>Thu, 31 Aug 2023 17:30:48 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon S3]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[ELT]]></category>
		<category><![CDATA[ETL Pipelines]]></category>
		<category><![CDATA[Events]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[In this post we discuss how we can build and orchestrate in a few steps an ETL process for Amazon Redshift using Amazon S3 Event Notifications for automatic verification of source data upon arrival and notification in specific cases. And we show how to use AWS Step Functions for the orchestration of the data pipeline. It can be considered as a starting point for teams within organizations willing to create and build an event driven data pipeline from data source to data warehouse that will help in tracking each phase and in responding to failures quickly. Alternatively, you can also use Amazon Redshift auto-copy from Amazon S3 to simplify data loading from Amazon S3 into Amazon Redshift.]]></description>
		
		
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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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