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	<title>Edijs Drezovs, Viesturs Kols, Krisjanis Beitans &#8211; Noise</title>
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		<title>Building a modern lakehouse architecture: Yggdrasil Gaming’s journey from BigQuery to AWS</title>
		<link>https://noise.getoto.net/2026/03/03/building-a-modern-lakehouse-architecture-yggdrasil-gamings-journey-from-bigquery-to-aws/</link>
		
		<dc:creator><![CDATA[Edijs Drezovs, Viesturs Kols, Krisjanis Beitans]]></dc:creator>
		<pubDate>Tue, 03 Mar 2026 18:09:01 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Betting and Gaming]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[Yggdrasil Gaming develops and publishes casino games globally, processing massive amounts of real-time gaming data for game performance analytics, player behavior insights, and industry intelligence. Yggdrasil Gaming reduced multi-cloud complexity and built a scalable analytics foundation by migrating from Google BigQuery to AWS analytics services. In this post, you’ll discover how Yggdrasil Gaming transformed their data architecture to meet growing business demands. You will learn practical strategies for migrating from proprietary systems to open table formats such as Apache Iceberg while maintaining business continuity. Yggdrasil worked with GOStack, an AWS Partner, to migrate to an Apache Iceberg-based lakehouse architecture. The migration helped reduce operational complexity and enabled real-time gaming analytics and machine learning.]]></description>
		
		
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