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	<title>Srividya Parthasarathy &#8211; Noise</title>
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		<title>Access Databricks Unity Catalog data using catalog federation in the AWS Glue Data Catalog</title>
		<link>https://noise.getoto.net/2026/01/12/access-databricks-unity-catalog-data-using-catalog-federation-in-the-aws-glue-data-catalog/</link>
		
		<dc:creator><![CDATA[Srividya Parthasarathy]]></dc:creator>
		<pubDate>Mon, 12 Jan 2026 20:37:44 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
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					<description><![CDATA[AWS has launched the catalog federation capability, enabling direct access to Apache Iceberg tables managed in Databricks Unity Catalog through the AWS Glue Data Catalog. With this integration, you can discover and query Unity Catalog data in Iceberg format using an Iceberg REST API endpoint, while maintaining granular access controls through AWS Lake Formation. In this post, we demonstrate how to set up catalog federation between the Glue Data Catalog and Databricks Unity Catalog, enabling data querying using AWS analytics services.]]></description>
		
		
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		<title>Access Amazon S3 Iceberg tables from Databricks using AWS Glue Iceberg Rest Catalog in Amazon SageMaker Lakehouse</title>
		<link>https://noise.getoto.net/2025/01/23/access-amazon-s3-iceberg-tables-from-databricks-using-aws-glue-iceberg-rest-catalog-in-amazon-sagemaker-lakehouse/</link>
		
		<dc:creator><![CDATA[Srividya Parthasarathy]]></dc:creator>
		<pubDate>Thu, 23 Jan 2025 16:59:39 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
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					<description><![CDATA[In this post, we will show you how Databricks on AWS general purpose compute can integrate with the AWS Glue Iceberg REST Catalog for metadata access and use Lake Formation for data access. To keep the setup in this post straightforward, the Glue Iceberg REST Catalog and Databricks cluster share the same AWS account.]]></description>
		
		
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		<title>Simplify data access for your enterprise using Amazon SageMaker Lakehouse</title>
		<link>https://noise.getoto.net/2024/12/04/simplify-data-access-for-your-enterprise-using-amazon-sagemaker-lakehouse/</link>
		
		<dc:creator><![CDATA[Srividya Parthasarathy]]></dc:creator>
		<pubDate>Wed, 04 Dec 2024 20:05:34 +0000</pubDate>
				<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Analytics]]></category>
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					<description><![CDATA[Amazon SageMaker Lakehouse offers a unified solution for enterprise data access, combining data from warehouses and lakes. This post demonstrates how SageMaker Lakehouse integrates scattered data sources, enabling secure enterprise-wide access, and allowing teams to use their preferred tools for predicting and analyzing customer churn. The solution involves multiple data sources, including Amazon S3, Amazon Redshift, and AWS Glue Data Catalog, with AWS Lake Formation managing permissions.]]></description>
		
		
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		<title>Efficiently crawl your data lake and improve data access with an AWS Glue crawler using partition indexes</title>
		<link>https://noise.getoto.net/2023/06/15/efficiently-crawl-your-data-lake-and-improve-data-access-with-an-aws-glue-crawler-using-partition-indexes/</link>
		
		<dc:creator><![CDATA[Srividya Parthasarathy]]></dc:creator>
		<pubDate>Thu, 15 Jun 2023 17:41:27 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[In today’s world, customers manage vast amounts of data in their Amazon Simple Storage Service (Amazon S3) data lakes, which requires convoluted data pipelines to continuously understand the changes in the data layout and make them available to consuming systems. AWS Glue crawlers provide a straightforward way to catalog data in the AWS Glue Data […]]]></description>
		
		
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		<title>Build an AWS Lake Formation permissions inventory dashboard using AWS Glue and Amazon QuickSight</title>
		<link>https://noise.getoto.net/2022/12/12/build-an-aws-lake-formation-permissions-inventory-dashboard-using-aws-glue-and-amazon-quicksight/</link>
		
		<dc:creator><![CDATA[Srividya Parthasarathy]]></dc:creator>
		<pubDate>Mon, 12 Dec 2022 17:09:33 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
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					<description><![CDATA[AWS Lake Formation is an integrated data lake service that makes it easy for you to ingest, clean, catalog, transform, and secure your data and make it available for analysis and machine learning (ML). Lake Formation provides a single place to define fine-grained access control on catalog resources. These permissions are granted to the principals […]]]></description>
		
		
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		<title>Centrally manage access and permissions for Amazon Redshift data sharing with AWS Lake Formation</title>
		<link>https://noise.getoto.net/2022/11/30/centrally-manage-access-and-permissions-for-amazon-redshift-data-sharing-with-aws-lake-formation/</link>
		
		<dc:creator><![CDATA[Srividya Parthasarathy]]></dc:creator>
		<pubDate>Wed, 30 Nov 2022 20:10:52 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
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					<description><![CDATA[Today’s global, data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. Amazon Redshift data sharing allows you to securely share live, transactionally consistent data in one Amazon Redshift data warehouse with another Amazon Redshift data warehouse within the same AWS […]]]></description>
		
		
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