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	<title>AWS Glue DataBrew &#8211; Noise</title>
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		<title>Detect, mask, and redact PII data using AWS Glue before loading into Amazon OpenSearch Service</title>
		<link>https://noise.getoto.net/2024/01/12/detect-mask-and-redact-pii-data-using-aws-glue-before-loading-into-amazon-opensearch-service/</link>
		
		<dc:creator><![CDATA[Michael Hamilton]]></dc:creator>
		<pubDate>Fri, 12 Jan 2024 15:11:52 +0000</pubDate>
				<category><![CDATA[Amazon OpenSearch]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Many organizations, small and large, are working to migrate and modernize their analytics workloads on Amazon Web Services (AWS). There are many reasons for customers to migrate to AWS, but one of the main reasons is the ability to use fully managed services rather than spending time maintaining infrastructure, patching, monitoring, backups, and more. Leadership […]]]></description>
		
		
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		<title>Modernize your ETL platform with AWS Glue Studio: A case study from BMS</title>
		<link>https://noise.getoto.net/2023/12/13/modernize-your-etl-platform-with-aws-glue-studio-a-case-study-from-bms/</link>
		
		<dc:creator><![CDATA[Sivaprasad Mahamkali]]></dc:creator>
		<pubDate>Wed, 13 Dec 2023 16:28:38 +0000</pubDate>
				<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[ETL Pipelines]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Migration]]></category>
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					<description><![CDATA[This post is co-written with Ramesh Daddala, Jitendra Kumar Dash and Pavan Kumar Bijja from Bristol Myers Squibb. Bristol Myers Squibb (BMS) is a global biopharmaceutical company whose mission is to discover, develop, and deliver innovative medicines that help patients prevail over serious diseases. BMS is consistently innovating, achieving significant clinical and regulatory successes. In […]]]></description>
		
		
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		<item>
		<title>Clean up your Excel and CSV files without writing code using AWS Glue DataBrew</title>
		<link>https://noise.getoto.net/2023/11/15/clean-up-your-excel-and-csv-files-without-writing-code-using-aws-glue-databrew/</link>
		
		<dc:creator><![CDATA[Ismail Makhlouf]]></dc:creator>
		<pubDate>Wed, 15 Nov 2023 17:26:55 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Managing data within an organization is complex. Handling data from outside the organization adds even more complexity. As the organization receives data from multiple external vendors, it often arrives in different formats, typically Excel or CSV files, with each vendor using their own unique data layout and structure. In this blog post, we’ll explore a […]]]></description>
		
		
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		<item>
		<title>Empower your Jira data in a data lake with Amazon AppFlow and AWS Glue</title>
		<link>https://noise.getoto.net/2023/08/01/empower-your-jira-data-in-a-data-lake-with-amazon-appflow-and-aws-glue/</link>
		
		<dc:creator><![CDATA[Tom Romano]]></dc:creator>
		<pubDate>Tue, 01 Aug 2023 16:14:01 +0000</pubDate>
				<category><![CDATA[Amazon AppFlow]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[Data Lake]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[SaaS]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In the world of software engineering and development, organizations use project management tools like Atlassian Jira Cloud. Managing projects with Jira leads to rich datasets, which can provide historical and predictive insights about project and development efforts. Although Jira Cloud provides reporting capability, loading this data into a data lake will facilitate enrichment with other […]]]></description>
		
		
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		<item>
		<title>Use AWS Glue DataBrew recipes in your AWS Glue Studio visual ETL jobs</title>
		<link>https://noise.getoto.net/2023/07/27/use-aws-glue-databrew-recipes-in-your-aws-glue-studio-visual-etl-jobs/</link>
		
		<dc:creator><![CDATA[Gonzalo Herreros]]></dc:creator>
		<pubDate>Thu, 27 Jul 2023 17:22:39 +0000</pubDate>
				<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[AWS Glue Studio is now integrated with AWS Glue DataBrew. AWS Glue Studio is a graphical interface that makes it easy to create, run, and monitor extract, transform, and load (ETL) jobs in AWS Glue. DataBrew is a visual data preparation tool that enables you to clean and normalize data without writing any code. The […]]]></description>
		
		
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		<item>
		<title>Top Announcements of the AWS Summit in New York, 2023</title>
		<link>https://noise.getoto.net/2023/07/26/top-announcements-of-the-aws-summit-in-new-york-2023/</link>
		
		<dc:creator><![CDATA[AWS News Blog Team]]></dc:creator>
		<pubDate>Wed, 26 Jul 2023 00:36:34 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
		<category><![CDATA[AWS HealthImaging]]></category>
		<category><![CDATA[Events]]></category>
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					<description><![CDATA[It’ll be a full house as the AWS Summit gets underway in New York City on Wednesday, July 26, 2023. The cloud event has something for everyone including a keynote, breakout sessions, opportunities to network, and of course, to learn about the latest exciting AWS product announcements. Today, we’re sharing a selection of announcements to […]]]></description>
		
		
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		<title>Doing data preparation using on-premises PostgreSQL databases with AWS Glue DataBrew</title>
		<link>https://noise.getoto.net/2022/10/21/doing-data-preparation-using-on-premises-postgresql-databases-with-aws-glue-databrew/</link>
		
		<dc:creator><![CDATA[John Espenhahn]]></dc:creator>
		<pubDate>Fri, 21 Oct 2022 03:19:35 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
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					<description><![CDATA[Today, with AWS Glue DataBrew, data analysts and data scientists can easily access and visually explore any amount of data across their organization directly from their Amazon Simple Storage Service (Amazon S3) data lake, Amazon Redshift data warehouse, and Amazon Aurora and Amazon Relational Database Service (Amazon RDS) databases. Customers can choose from over 250 […]]]></description>
		
		
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		<item>
		<title>Simplify semi-structured nested JSON data analysis with AWS Glue DataBrew and Amazon QuickSight</title>
		<link>https://noise.getoto.net/2022/10/20/simplify-semi-structured-nested-json-data-analysis-with-aws-glue-databrew-and-amazon-quicksight/</link>
		
		<dc:creator><![CDATA[Sriharsh Adari]]></dc:creator>
		<pubDate>Thu, 20 Oct 2022 20:23:01 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
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					<description><![CDATA[As the industry grows with more data volume, big data analytics is becoming a common requirement in data analytics and machine learning (ML) use cases. Data comes from many different sources in structured, semi-structured, and unstructured formats. For semi-structured data, one of the most common lightweight file formats is JSON. However, due to the complex […]]]></description>
		
		
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		<title>Create single output files for recipe jobs using AWS Glue DataBrew</title>
		<link>https://noise.getoto.net/2022/09/07/create-single-output-files-for-recipe-jobs-using-aws-glue-databrew/</link>
		
		<dc:creator><![CDATA[Dhiraj Thakur]]></dc:creator>
		<pubDate>Wed, 07 Sep 2022 17:38:09 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
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					<description><![CDATA[AWS Glue DataBrew offers over 350 pre-built transformations to automate data preparation tasks (such as filtering anomalies, standardizing formats, and correcting invalid values) that would otherwise require days or weeks writing hand-coded transformations. You can now choose single or multiple output files instead of autogenerated files for your DataBrew recipe jobs. You can generate a […]]]></description>
		
		
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		<item>
		<title>Tracking email engagement with AWS Analytics services</title>
		<link>https://noise.getoto.net/2022/08/31/tracking-email-engagement-with-aws-analytics-services/</link>
		
		<dc:creator><![CDATA[Justin Morris]]></dc:creator>
		<pubDate>Wed, 31 Aug 2022 20:42:55 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Amazon Simple Email Service (SES)]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[email]]></category>
		<category><![CDATA[email analytics]]></category>
		<category><![CDATA[email bounces]]></category>
		<category><![CDATA[email dashboard]]></category>
		<category><![CDATA[email engagement]]></category>
		<category><![CDATA[Kinesis Data Firehose]]></category>
		<category><![CDATA[messaging]]></category>
		<category><![CDATA[sender reputation]]></category>
		<category><![CDATA[SES]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Email at scale is one of the most valuable forms of reaching and engaging with customers, but creating the most engaging email content means frequent tracking, monitoring, and analyzing bounces, complaints, opens, and clicks. Managing your reputation as a sender and understanding user engagement have never been more important and play a crucial role in […]]]></description>
		
		
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		<item>
		<title>A serverless operational data lake for retail with AWS Glue, Amazon Kinesis Data Streams, Amazon DynamoDB, and Amazon QuickSight</title>
		<link>https://noise.getoto.net/2022/06/03/a-serverless-operational-data-lake-for-retail-with-aws-glue-amazon-kinesis-data-streams-amazon-dynamodb-and-amazon-quicksight/</link>
		
		<dc:creator><![CDATA[Gandhi Raketla]]></dc:creator>
		<pubDate>Fri, 03 Jun 2022 16:04:54 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
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					<description><![CDATA[Do you want to reduce stockouts at stores? Do you want to improve order delivery timelines? Do you want to provide your customers with accurate product availability, down to the millisecond? A retail operational data lake can help you transform the customer experience by providing deeper insights into a variety of operational aspects of your […]]]></description>
		
		
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		<title>Trigger an AWS Glue DataBrew job based on an event generated from another DataBrew job</title>
		<link>https://noise.getoto.net/2022/06/02/trigger-an-aws-glue-databrew-job-based-on-an-event-generated-from-another-databrew-job/</link>
		
		<dc:creator><![CDATA[Nipun Chagari]]></dc:creator>
		<pubDate>Thu, 02 Jun 2022 18:02:49 +0000</pubDate>
				<category><![CDATA[Amazon EventBridge]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=ff7f3f639d1ee7353d36faddbfacbfc8</guid>

					<description><![CDATA[Organizations today have continuous incoming data, and analyzing this data in a timely fashion is becoming a common requirement for data analytics and machine learning (ML) use cases. As part of this, you need clean data in order to gain insights that can enable enterprises to get the most out of their data for business […]]]></description>
		
		
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		<title>Write prepared data directly into JDBC-supported destinations using AWS Glue DataBrew</title>
		<link>https://noise.getoto.net/2022/04/18/write-prepared-data-directly-into-jdbc-supported-destinations-using-aws-glue-databrew/</link>
		
		<dc:creator><![CDATA[Dhiraj Thakur]]></dc:creator>
		<pubDate>Mon, 18 Apr 2022 15:48:54 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
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					<description><![CDATA[AWS Glue DataBrew offers over 250 pre-built transformations to automate data preparation tasks (such as filtering anomalies, standardizing formats, and correcting invalid values) that would otherwise require days or weeks writing hand-coded transformations. You can now write cleaned and normalized data directly into JDBC-supported databases and data warehouses without having to move large amounts of […]]]></description>
		
		
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		<title>Build a data pipeline to automatically discover and mask PII data with AWS Glue DataBrew</title>
		<link>https://noise.getoto.net/2022/04/13/build-a-data-pipeline-to-automatically-discover-and-mask-pii-data-with-aws-glue-databrew/</link>
		
		<dc:creator><![CDATA[Samson Lee]]></dc:creator>
		<pubDate>Wed, 13 Apr 2022 19:40:21 +0000</pubDate>
				<category><![CDATA[AWS Glue DataBrew]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Personally identifiable information (PII) data handling is a common requirement when operating a data lake at scale. Businesses often need to mitigate the risk of exposing PII data to the data science team while not hindering the productivity of the team to get to the data they need in order to generate valuable data insights. […]]]></description>
		
		
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		<title>Build event-driven data quality pipelines with AWS Glue DataBrew</title>
		<link>https://noise.getoto.net/2022/01/12/build-event-driven-data-quality-pipelines-with-aws-glue-databrew/</link>
		
		<dc:creator><![CDATA[Laith Al-Saadoon]]></dc:creator>
		<pubDate>Wed, 12 Jan 2022 19:14:10 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
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					<description><![CDATA[Businesses collect more and more data every day to drive processes like decision-making, reporting, and machine learning (ML). Before cleaning and transforming your data, you need to determine whether it’s fit for use. Incorrect, missing, or malformed data can have large impacts on downstream analytics and ML processes. Performing data quality checks helps identify issues […]]]></description>
		
		
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		<title>Transform data and create dashboards using AWS Glue DataBrew and Tableau</title>
		<link>https://noise.getoto.net/2022/01/11/transform-data-and-create-dashboards-using-aws-glue-databrew-and-tableau/</link>
		
		<dc:creator><![CDATA[Nipun Chagari]]></dc:creator>
		<pubDate>Tue, 11 Jan 2022 17:01:48 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
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					<description><![CDATA[Before you can create visuals and dashboards that convey useful information, you need to transform and prepare the underlying data. With AWS Glue DataBrew, you can now easily transform and prepare datasets from Amazon Simple Storage Service (Amazon S3), an Amazon Redshift data warehouse, Amazon Aurora, and other Amazon Relational Database Service (Amazon RDS) databases […]]]></description>
		
		
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		<title>Enrich datasets for descriptive analytics with AWS Glue DataBrew</title>
		<link>https://noise.getoto.net/2021/12/23/enrich-datasets-for-descriptive-analytics-with-aws-glue-databrew/</link>
		
		<dc:creator><![CDATA[Daniel Rozo]]></dc:creator>
		<pubDate>Thu, 23 Dec 2021 17:18:37 +0000</pubDate>
				<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
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					<description><![CDATA[Data analytics remains a constantly hot topic. More and more businesses are beginning to understand the potential their data has to allow them to serve customers more effectively and give them a competitive advantage. However, for many small to medium businesses, gaining insight from their data can be challenging because they often lack in-house data […]]]></description>
		
		
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		<title>Enforce customized data quality rules in AWS Glue DataBrew</title>
		<link>https://noise.getoto.net/2021/11/25/enforce-customized-data-quality-rules-in-aws-glue-databrew/</link>
		
		<dc:creator><![CDATA[Navnit Shukla]]></dc:creator>
		<pubDate>Wed, 24 Nov 2021 23:23:24 +0000</pubDate>
				<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
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					<description><![CDATA[GIGO (garbage in, garbage out) is a concept common to computer science and mathematics: the quality of the output is determined by the quality of the input. In modern data architecture, you bring data from different data sources, which creates challenges around volume, velocity, and veracity. You might write unit tests for applications, but it’s […]]]></description>
		
		
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		<title>Introducing PII data identification and handling using AWS Glue DataBrew</title>
		<link>https://noise.getoto.net/2021/11/20/introducing-pii-data-identification-and-handling-using-aws-glue-databrew/</link>
		
		<dc:creator><![CDATA[Harsh Vardhan Singh Gaur]]></dc:creator>
		<pubDate>Fri, 19 Nov 2021 22:58:52 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
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					<description><![CDATA[AWS Glue DataBrew, a visual data preparation tool, can now identify and handle sensitive data by applying advance transformations like redaction, replacement, encryption, and decryption on your personally identifiable information (PII) data. With exponential growth of data, companies are handling huge volumes and a wide variety of data coming into their platform, including PII data. […]]]></description>
		
		
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		<title>Integrate AWS Glue DataBrew and Amazon PinPoint to launch marketing campaigns</title>
		<link>https://noise.getoto.net/2021/11/03/integrate-aws-glue-databrew-and-amazon-pinpoint-to-launch-marketing-campaigns/</link>
		
		<dc:creator><![CDATA[Suraj Shivananda]]></dc:creator>
		<pubDate>Wed, 03 Nov 2021 16:47:29 +0000</pubDate>
				<category><![CDATA[Amazon Pinpoint]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
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					<description><![CDATA[Marketing teams often rely on data engineers to provide a consumer dataset that they can use to launch marketing campaigns. This can sometimes cause delays in launching campaigns and consume data engineers’ bandwidth. The campaigns are often launched using complex solutions that are either code heavy or using licensed tools. The processes of both extract, […]]]></description>
		
		
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