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	<title>Sam Mokhtari &#8211; Noise</title>
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		<title>Optimize your modern data architecture for sustainability: Part 2 – unified data governance, data movement, and purpose-built analytics</title>
		<link>https://noise.getoto.net/2022/11/25/optimize-your-modern-data-architecture-for-sustainability-part-2-unified-data-governance-data-movement-and-purpose-built-analytics/</link>
		
		<dc:creator><![CDATA[Sam Mokhtari]]></dc:creator>
		<pubDate>Fri, 25 Nov 2022 13:24:46 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Well-Architected]]></category>
		<category><![CDATA[Sustainability]]></category>
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					<description><![CDATA[In the first part of this blog series, Optimize your modern data architecture for sustainability: Part 1 – data ingestion and data lake, we focused on the 1) data ingestion, and 2) data lake pillars of the modern data architecture. In this blog post, we will provide guidance and best practices to optimize the components […]]]></description>
		
		
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		<item>
		<title>How to select a Region for your workload based on sustainability goals</title>
		<link>https://noise.getoto.net/2022/11/23/how-to-select-a-region-for-your-workload-based-on-sustainability-goals/</link>
		
		<dc:creator><![CDATA[Sam Mokhtari]]></dc:creator>
		<pubDate>Wed, 23 Nov 2022 16:22:49 +0000</pubDate>
				<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Well-Architected]]></category>
		<category><![CDATA[Regions]]></category>
		<category><![CDATA[Sustainability]]></category>
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					<description><![CDATA[The Amazon Web Services (AWS) Cloud is a constantly expanding network of Regions and points of presence (PoP), with a global network infrastructure linking them together. The choice of Regions for your workload significantly affects your workload KPIs, including performance, cost, and carbon footprint. The Well-Architected Framework’s sustainability pillar offers design principles and best practices […]]]></description>
		
		
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		<item>
		<title>Optimize your modern data architecture for sustainability: Part 1 – data ingestion and data lake</title>
		<link>https://noise.getoto.net/2022/11/04/optimize-your-modern-data-architecture-for-sustainability-part-1-data-ingestion-and-data-lake/</link>
		
		<dc:creator><![CDATA[Sam Mokhtari]]></dc:creator>
		<pubDate>Fri, 04 Nov 2022 21:37:38 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Well-Architected]]></category>
		<category><![CDATA[Sustainability]]></category>
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					<description><![CDATA[The modern data architecture on AWS focuses on integrating a data lake and purpose-built data services to efficiently build analytics workloads, which provide speed and agility at scale. Using the right service for the right purpose not only provides performance gains, but facilitates the right utilization of resources. Review Modern Data Analytics Reference Architecture on […]]]></description>
		
		
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		<title>Integrate AWS Glue Schema Registry with the AWS Glue Data Catalog to enable effective schema enforcement in streaming analytics use cases</title>
		<link>https://noise.getoto.net/2022/06/01/integrate-aws-glue-schema-registry-with-the-aws-glue-data-catalog-to-enable-effective-schema-enforcement-in-streaming-analytics-use-cases/</link>
		
		<dc:creator><![CDATA[Sam Mokhtari]]></dc:creator>
		<pubDate>Wed, 01 Jun 2022 15:53:25 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
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					<description><![CDATA[Metadata is an integral part of data management and governance. The AWS Glue Data Catalog can provide a uniform repository to store and share metadata. The main purpose of the Data Catalog is to provide a central metadata store where disparate systems can store, discover, and use that metadata to query and process the data. […]]]></description>
		
		
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		<title>Secure connectivity patterns to access Amazon MSK across AWS Regions</title>
		<link>https://noise.getoto.net/2021/08/03/secure-connectivity-patterns-to-access-amazon-msk-across-aws-regions/</link>
		
		<dc:creator><![CDATA[Sam Mokhtari]]></dc:creator>
		<pubDate>Tue, 03 Aug 2021 18:21:18 +0000</pubDate>
				<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Analytics]]></category>
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					<description><![CDATA[AWS customers often segment their workloads across accounts and Amazon Virtual Private Cloud (Amazon VPC) to streamline access management while being able to expand their footprint. As a result, in some scenarios you, as an AWS customer, need to make an Amazon Managed Streaming for Apache Kafka (Amazon MSK) cluster accessible to Apache Kafka clients […]]]></description>
		
		
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		<item>
		<title>Get started with Flink SQL APIs in Amazon Kinesis Data Analytics Studio</title>
		<link>https://noise.getoto.net/2021/07/07/get-started-with-flink-sql-apis-in-amazon-kinesis-data-analytics-studio/</link>
		
		<dc:creator><![CDATA[Sam Mokhtari]]></dc:creator>
		<pubDate>Wed, 07 Jul 2021 17:37:39 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
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					<description><![CDATA[Before the release of Amazon Kinesis Data Analytics Studio, customers relied on Amazon Kinesis Data Analytics for SQL on Amazon Kinesis Data Streams. With the release of Kinesis Data Analytics Studio, data engineers and analysts can use an Apache Zeppelin notebook within Studio to query streaming data interactively from a variety of sources, like Kinesis […]]]></description>
		
		
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		<item>
		<title>Field Notes: Develop Data Pre-processing Scripts Using Amazon SageMaker Studio and an AWS Glue Development Endpoint</title>
		<link>https://noise.getoto.net/2021/06/17/field-notes-develop-data-pre-processing-scripts-using-amazon-sagemaker-studio-and-an-aws-glue-development-endpoint/</link>
		
		<dc:creator><![CDATA[Sam Mokhtari]]></dc:creator>
		<pubDate>Thu, 17 Jun 2021 14:13:26 +0000</pubDate>
				<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Field Notes]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[This post was co-written with Marcus Rosen, a Principal  – Machine Learning Operations with Rio Tinto, a global mining company.  Data pre-processing is an important step in setting up Machine Learning (ML) projects for success. Many AWS customers use Apache Spark on AWS Glue or Amazon EMR to run data pre-processing scripts while using Amazon SageMaker […]]]></description>
		
		
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