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	<title>Nipun Chagari &#8211; Noise</title>
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		<title>Trigger an AWS Glue DataBrew job based on an event generated from another DataBrew job</title>
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		<dc:creator><![CDATA[Nipun Chagari]]></dc:creator>
		<pubDate>Thu, 02 Jun 2022 18:02:49 +0000</pubDate>
				<category><![CDATA[Amazon EventBridge]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
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					<description><![CDATA[Organizations today have continuous incoming data, and analyzing this data in a timely fashion is becoming a common requirement for data analytics and machine learning (ML) use cases. As part of this, you need clean data in order to gain insights that can enable enterprises to get the most out of their data for business […]]]></description>
		
		
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		<title>Transform data and create dashboards using AWS Glue DataBrew and Tableau</title>
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		<dc:creator><![CDATA[Nipun Chagari]]></dc:creator>
		<pubDate>Tue, 11 Jan 2022 17:01:48 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
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					<description><![CDATA[Before you can create visuals and dashboards that convey useful information, you need to transform and prepare the underlying data. With AWS Glue DataBrew, you can now easily transform and prepare datasets from Amazon Simple Storage Service (Amazon S3), an Amazon Redshift data warehouse, Amazon Aurora, and other Amazon Relational Database Service (Amazon RDS) databases […]]]></description>
		
		
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