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	<title>Data Catalog &#8211; Noise</title>
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	<description>The collective thoughts of the interwebz</description>
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		<title>Announcing the Cloudflare Data Platform: ingest, store, and query your data directly on Cloudflare</title>
		<link>https://noise.getoto.net/2025/09/25/announcing-the-cloudflare-data-platform-ingest-store-and-query-your-data-directly-on-cloudflare/</link>
		
		<dc:creator><![CDATA[Micah Wylde]]></dc:creator>
		<pubDate>Thu, 25 Sep 2025 14:00:00 +0000</pubDate>
				<category><![CDATA[Birthday Week]]></category>
		<category><![CDATA[Data Catalog]]></category>
		<category><![CDATA[Developers]]></category>
		<category><![CDATA[Pipelines]]></category>
		<category><![CDATA[R2 Storage]]></category>
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					<description><![CDATA[The Cloudflare Data Platform, launching today, is a fully-managed suite of products for ingesting, transforming, storing, and querying analytical data, built on Apache Iceberg and R2 storage.]]></description>
		
		
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		<title>Use Databricks Unity Catalog Open APIs for Spark workloads on Amazon EMR</title>
		<link>https://noise.getoto.net/2025/07/25/use-databricks-unity-catalog-open-apis-for-spark-workloads-on-amazon-emr/</link>
		
		<dc:creator><![CDATA[Venkat Viswanathan]]></dc:creator>
		<pubDate>Fri, 25 Jul 2025 16:18:02 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Analytics]]></category>
		<category><![CDATA[Data Catalog]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In this post, we demonstrate the powerful interoperability between Amazon EMR and Databricks Unity Catalog by walking through how to enable external access to Unity Catalog, configure EMR Spark to connect seamlessly with Unity Catalog, and perform DML and DDL operations on Unity Catalog tables using EMR Serverless.]]></description>
		
		
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		<title>Explore your Cloudflare data with Python notebooks, powered by marimo</title>
		<link>https://noise.getoto.net/2025/07/16/explore-your-cloudflare-data-with-python-notebooks-powered-by-marimo/</link>
		
		<dc:creator><![CDATA[Carlos Rodrigues]]></dc:creator>
		<pubDate>Wed, 16 Jul 2025 13:00:00 +0000</pubDate>
				<category><![CDATA[Data Catalog]]></category>
		<category><![CDATA[Developer Platform]]></category>
		<category><![CDATA[Notebooks]]></category>
		<category><![CDATA[R2]]></category>
		<category><![CDATA[апи]]></category>
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					<description><![CDATA[We’ve partnered with marimo to bring their best-in-class Python notebook experience to your Cloudflare data.]]></description>
		
		
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		<item>
		<title>Model Once, Represent Everywhere: UDA (Unified Data Architecture) at Netflix</title>
		<link>https://noise.getoto.net/2025/06/12/model-once-represent-everywhere-uda-unified-data-architecture-at-netflix/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Thu, 12 Jun 2025 14:56:32 +0000</pubDate>
				<category><![CDATA[Data Catalog]]></category>
		<category><![CDATA[data-engineering]]></category>
		<category><![CDATA[data-management]]></category>
		<category><![CDATA[Knowledge management]]></category>
		<category><![CDATA[rdf]]></category>
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					<description><![CDATA[By Alex Hutter, Alexandre Bertails, Claire Wang, Haoyuan He, Kishore Banala, Peter Royal, Shervin AfsharAs Netflix’s offerings grow — across films, series, games, live events, and ads — so does the complexity of the systems that support it. Core busine...]]></description>
		
		
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		<title>R2 Data Catalog: Managed Apache Iceberg tables with zero egress fees</title>
		<link>https://noise.getoto.net/2025/04/10/r2-data-catalog-managed-apache-iceberg-tables-with-zero-egress-fees/</link>
		
		<dc:creator><![CDATA[Phillip Jones]]></dc:creator>
		<pubDate>Thu, 10 Apr 2025 14:00:00 +0000</pubDate>
				<category><![CDATA[Data Catalog]]></category>
		<category><![CDATA[Developer Platform]]></category>
		<category><![CDATA[Developer Week]]></category>
		<category><![CDATA[Product News]]></category>
		<category><![CDATA[R2]]></category>
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					<description><![CDATA[R2 Data Catalog is now in public beta: a managed Apache Iceberg data catalog built directly into your R2 bucket.]]></description>
		
		
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		<title>Modernize your legacy databases with AWS data lakes, Part 2: Build a data lake using AWS DMS data on Apache Iceberg</title>
		<link>https://noise.getoto.net/2024/10/30/modernize-your-legacy-databases-with-aws-data-lakes-part-2-build-a-data-lake-using-aws-dms-data-on-apache-iceberg/</link>
		
		<dc:creator><![CDATA[Shaheer Mansoor]]></dc:creator>
		<pubDate>Wed, 30 Oct 2024 20:15:02 +0000</pubDate>
				<category><![CDATA[Amazon Simple Queue Service (SQS)]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Apache Iceberg]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Data Catalog]]></category>
		<category><![CDATA[Data Lake]]></category>
		<category><![CDATA[Events]]></category>
		<category><![CDATA[python]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[This is part two of a three-part series where we show how to build a data lake on AWS using a modern data architecture. This post shows how to load data from a legacy database (SQL Server) into a transactional data lake (Apache Iceberg) using AWS Glue. We show how to build data pipelines using AWS Glue jobs, optimize them for both cost and performance, and implement schema evolution to automate manual tasks. To review the first part of the series, where we load SQL Server data into Amazon Simple Storage Service (Amazon S3) using AWS Database Migration Service (AWS DMS), see Modernize your legacy databases with AWS data lakes, Part 1: Migrate SQL Server using AWS DMS.]]></description>
		
		
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		<title>Use Amazon Athena and Amazon QuickSight in a cross-account environment</title>
		<link>https://noise.getoto.net/2021/09/30/use-amazon-athena-and-amazon-quicksight-in-a-cross-account-environment/</link>
		
		<dc:creator><![CDATA[Lotfi Mouhib]]></dc:creator>
		<pubDate>Thu, 30 Sep 2021 18:17:02 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Cross Account]]></category>
		<category><![CDATA[Data Catalog]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Many AWS customers use a multi-account strategy to host applications for different departments within the same company. However, you might deploy services like Amazon QuickSight using a single-account approach, which raises challenges when you need to use QuickSight in combination with Amazon Athena to build reports and dashboards. With the recently announced built-in support for cross-account […]]]></description>
		
		
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