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	<title>Guy Bachar &#8211; Noise</title>
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		<title>Introducing managed query results for Amazon Athena</title>
		<link>https://noise.getoto.net/2025/06/03/introducing-managed-query-results-for-amazon-athena/</link>
		
		<dc:creator><![CDATA[Guy Bachar]]></dc:creator>
		<pubDate>Tue, 03 Jun 2025 20:40:21 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Analytics]]></category>
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					<description><![CDATA[We’re thrilled to introduce managed query results, a new Athena feature that automatically stores, secures, and manages the lifecycle of query result data for you at no additional cost. In this post, we demonstrate how to get started with managed query results and, by removing the undifferentiated effort spent on query result management, how Athena helps you get insights from your data in fewer steps than before.]]></description>
		
		
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		<title>Build a high-performance quant research platform with Apache Iceberg</title>
		<link>https://noise.getoto.net/2025/01/09/build-a-high-performance-quant-research-platform-with-apache-iceberg/</link>
		
		<dc:creator><![CDATA[Guy Bachar]]></dc:creator>
		<pubDate>Thu, 09 Jan 2025 20:55:39 +0000</pubDate>
				<category><![CDATA[Amazon EMR on EKS]]></category>
		<category><![CDATA[Apache Iceberg]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[EKS]]></category>
		<category><![CDATA[Financial Services]]></category>
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					<description><![CDATA[In our previous post Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg, we showed how to use Apache Iceberg in the context of strategy backtesting. In this post, we focus on data management implementation options such as accessing data directly in Amazon Simple Storage Service (Amazon S3), using popular data formats like Parquet, or using open table formats like Iceberg. Our experiments are based on real-world historical full order book data, provided by our partner CryptoStruct, and compare the trade-offs between these choices, focusing on performance, cost, and quant developer productivity.]]></description>
		
		
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		<title>Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg</title>
		<link>https://noise.getoto.net/2023/07/03/backtesting-index-rebalancing-arbitrage-with-amazon-emr-and-apache-iceberg/</link>
		
		<dc:creator><![CDATA[Guy Bachar]]></dc:creator>
		<pubDate>Mon, 03 Jul 2023 18:14:39 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon EMR on EKS]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance. Index rebalancing arbitrage takes advantage of short-term price discrepancies resulting from ETF managers’ efforts to […]]]></description>
		
		
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