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	<title>Amazon AppFlow &#8211; Noise</title>
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		<title>How Open Universities Australia modernized their data platform and significantly reduced their ETL costs with AWS Cloud Development Kit and AWS Step Functions</title>
		<link>https://noise.getoto.net/2025/01/30/how-open-universities-australia-modernized-their-data-platform-and-significantly-reduced-their-etl-costs-with-aws-cloud-development-kit-and-aws-step-functions/</link>
		
		<dc:creator><![CDATA[Michael Davies]]></dc:creator>
		<pubDate>Thu, 30 Jan 2025 13:14:16 +0000</pubDate>
				<category><![CDATA[Amazon AppFlow]]></category>
		<category><![CDATA[Amazon EventBridge]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Asia Pacific]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Serverless Application Model]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[education]]></category>
		<category><![CDATA[Higher education]]></category>
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					<description><![CDATA[At Open Universities Australia (OUA), we empower students to explore a vast array of degrees from renowned Australian universities, all delivered through online learning. In this post, we show you how we used AWS services to replace our existing third-party ETL tool, improving the team’s productivity and producing a significant reduction in our ETL operational costs.]]></description>
		
		
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		<title>Ingest data from Google Analytics 4 and Google Sheets to Amazon Redshift using Amazon AppFlow</title>
		<link>https://noise.getoto.net/2025/01/06/ingest-data-from-google-analytics-4-and-google-sheets-to-amazon-redshift-using-amazon-appflow/</link>
		
		<dc:creator><![CDATA[Ritesh Sinha]]></dc:creator>
		<pubDate>Mon, 06 Jan 2025 18:52:09 +0000</pubDate>
				<category><![CDATA[Amazon AppFlow]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[Migration]]></category>
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					<description><![CDATA[Amazon AppFlow bridges the gap between Google applications and Amazon Redshift, empowering organizations to unlock deeper insights and drive data-informed decisions. In this post, we show you how to establish the data ingestion pipeline between Google Analytics 4, Google Sheets, and an Amazon Redshift Serverless workgroup.]]></description>
		
		
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		<title>How Kaplan, Inc. implemented modern data pipelines using Amazon MWAA and Amazon AppFlow with Amazon Redshift as a data warehouse</title>
		<link>https://noise.getoto.net/2024/08/22/how-kaplan-inc-implemented-modern-data-pipelines-using-amazon-mwaa-and-amazon-appflow-with-amazon-redshift-as-a-data-warehouse/</link>
		
		<dc:creator><![CDATA[Jimy Matthews]]></dc:creator>
		<pubDate>Thu, 22 Aug 2024 18:08:14 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon AppFlow]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Customer Solutions]]></category>
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					<description><![CDATA[Kaplan, Inc. provides individuals, educational institutions, and businesses with a broad array of services, supporting our students and partners to meet their diverse and evolving needs throughout their educational and professional journeys. In this post, we discuss how the Kaplan data engineering team implemented data integration from the Salesforce application to Amazon Redshift. The solution uses Amazon Simple Storage Service as a data lake, Amazon Redshift as a data warehouse, Amazon Managed Workflows for Apache Airflow (Amazon MWAA) as an orchestrator, and Tableau as the presentation layer.]]></description>
		
		
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		<item>
		<title>Simplify data transfer: Google BigQuery to Amazon S3 using Amazon AppFlow</title>
		<link>https://noise.getoto.net/2023/10/06/simplify-data-transfer-google-bigquery-to-amazon-s3-using-amazon-appflow/</link>
		
		<dc:creator><![CDATA[Kartikay Khator]]></dc:creator>
		<pubDate>Thu, 05 Oct 2023 22:01:52 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon AppFlow]]></category>
		<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In today's data-driven world, the ability to effortlessly move and analyze data across diverse platforms is essential. Amazon AppFlow, a fully managed data integration service, has been at the forefront of streamlining data transfer between AWS services, software as a service (SaaS) applications, and now Google BigQuery. In this blog post, you explore the new Google BigQuery connector in Amazon AppFlow and discover how it simplifies the process of transferring data from Google's data warehouse to Amazon Simple Storage Service (Amazon S3), providing significant benefits for data professionals and organizations, including the democratization of multi-cloud data access.]]></description>
		
		
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		<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>Cross-account integration between SaaS platforms using Amazon AppFlow</title>
		<link>https://noise.getoto.net/2023/04/25/cross-account-integration-between-saas-platforms-using-amazon-appflow/</link>
		
		<dc:creator><![CDATA[Ramakant Joshi]]></dc:creator>
		<pubDate>Tue, 25 Apr 2023 19:53:22 +0000</pubDate>
				<category><![CDATA[Amazon AppFlow]]></category>
		<category><![CDATA[Amazon EventBridge]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[Implementing an effective data sharing strategy that satisfies compliance and regulatory requirements is complex. Customers often need to share data between disparate software as a service (SaaS) platforms within their organization or across organizations. On many occasions, they need to apply business logic to the data received from the source SaaS platform before pushing it […]]]></description>
		
		
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		<item>
		<title>Synchronize your Salesforce and Snowflake data to speed up your time to insight with Amazon AppFlow</title>
		<link>https://noise.getoto.net/2023/02/09/synchronize-your-salesforce-and-snowflake-data-to-speed-up-your-time-to-insight-with-amazon-appflow/</link>
		
		<dc:creator><![CDATA[Ramesh Ranganathan]]></dc:creator>
		<pubDate>Thu, 09 Feb 2023 19:05:57 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon AppFlow]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Salesforce]]></category>
		<category><![CDATA[Snowflake]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=d51114c309c75dc03abbb7cb9320d65f</guid>

					<description><![CDATA[This post was co-written with Amit Shah, Principal Consultant at Atos. Customers across industries seek meaningful insights from the data captured in their Customer Relationship Management (CRM) systems. To achieve this, they combine their CRM data with a wealth of information already available in their data warehouse, enterprise systems, or other software as a service […]]]></description>
		
		
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		<item>
		<title>New — Amazon SageMaker Data Wrangler Supports SaaS Applications as Data Sources</title>
		<link>https://noise.getoto.net/2022/11/30/new-amazon-sagemaker-data-wrangler-supports-saas-applications-as-data-sources/</link>
		
		<dc:creator><![CDATA[Donnie Prakoso]]></dc:creator>
		<pubDate>Wed, 30 Nov 2022 18:12:05 +0000</pubDate>
				<category><![CDATA[Amazon AppFlow]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker Data Wrangler]]></category>
		<category><![CDATA[Application Integration]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=c4e93062fc320b2cb12557ecea99a5cb</guid>

					<description><![CDATA[Data fuels machine learning. In machine learning, data preparation is the process of transforming raw data into a format that is suitable for further processing and analysis. The common process for data preparation starts with collecting data, then cleaning it, labeling it, and finally validating and visualizing it. Getting the data right with high quality […]]]></description>
		
		
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		<item>
		<title>Announcing Additional Data Connectors for Amazon AppFlow</title>
		<link>https://noise.getoto.net/2022/11/30/announcing-additional-data-connectors-for-amazon-appflow/</link>
		
		<dc:creator><![CDATA[Steve Roberts]]></dc:creator>
		<pubDate>Wed, 30 Nov 2022 18:09:37 +0000</pubDate>
				<category><![CDATA[Amazon AppFlow]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=7034b93238b906cde3e883048e3e4c5e</guid>

					<description><![CDATA[Gathering insights from data is a more effective process if that data isn’t fragmented across multiple systems and data stores, whether on premises or in the cloud. Amazon AppFlow provides bidirectional data integration between on-premises systems and applications, SaaS applications, and AWS services. It helps customers break down data silos using a low- or no-code, […]]]></description>
		
		
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		<item>
		<title>AWS Week in Review – June 20, 2022</title>
		<link>https://noise.getoto.net/2022/06/20/aws-week-in-review-june-20-2022/</link>
		
		<dc:creator><![CDATA[Steve Roberts]]></dc:creator>
		<pubDate>Mon, 20 Jun 2022 17:14:07 +0000</pubDate>
				<category><![CDATA[.net]]></category>
		<category><![CDATA[Amazon AppFlow]]></category>
		<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Amazon SageMaker Canvas]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS .NET Development]]></category>
		<category><![CDATA[AWS Budgets]]></category>
		<category><![CDATA[AWS Config]]></category>
		<category><![CDATA[Events]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[Week in Review]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=d49fbe1ef62d1578e5239a1658a5ce6e</guid>

					<description><![CDATA[This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! Last Week’s Launches It’s been a quiet week on the AWS News Blog, however a glance at What’s New page shows the various service teams have been busy as usual. […]]]></description>
		
		
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		<title>Combining Amazon AppFlow with AWS Step Functions to maximize application integration benefits</title>
		<link>https://noise.getoto.net/2022/06/15/combining-amazon-appflow-with-aws-step-functions-to-maximize-application-integration-benefits/</link>
		
		<dc:creator><![CDATA[James Beswick]]></dc:creator>
		<pubDate>Wed, 15 Jun 2022 05:40:10 +0000</pubDate>
				<category><![CDATA[Amazon AppFlow]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[contributed]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[This blog post explores how to integrate Amazon AppFlow and AWS Glue using Step Functions to automate your business requirements. You can use AWS Lambda to simplify the configuration phase and reduce state transitions or create complex checks, filters, or even data cleansing and preparation.]]></description>
		
		
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		<item>
		<title>Building custom connectors using the Amazon AppFlow Custom Connector SDK</title>
		<link>https://noise.getoto.net/2022/02/14/building-custom-connectors-using-the-amazon-appflow-custom-connector-sdk/</link>
		
		<dc:creator><![CDATA[James Beswick]]></dc:creator>
		<pubDate>Mon, 14 Feb 2022 13:33:47 +0000</pubDate>
				<category><![CDATA[Amazon AppFlow]]></category>
		<category><![CDATA[contributed]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=76b93248ebe7b1292a2e24cc81b03b46</guid>

					<description><![CDATA[This blog post shows how to extend the Amazon AppFlow service to move data between SaaS endpoints and custom APIs. You can now build custom connectors using the Amazon AppFlow Custom Connector SDK.]]></description>
		
		
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		<item>
		<title>Build a modern data architecture on AWS with Amazon AppFlow, AWS Lake Formation, and Amazon Redshift.</title>
		<link>https://noise.getoto.net/2021/12/20/build-a-modern-data-architecture-on-aws-with-amazon-appflow-aws-lake-formation-and-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Dr. Yannick Misteli]]></dc:creator>
		<pubDate>Mon, 20 Dec 2021 20:28:41 +0000</pubDate>
				<category><![CDATA[Amazon AppFlow]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=faeb7ea09e89ac808db8d2495781a4a8</guid>

					<description><![CDATA[This is a guest post written by Dr. Yannick Misteli, lead cloud platform and ML engineering in global product strategy (GPS) at Roche. Recently the Roche Data Insights (RDI) initiative was launched to achieve our vision using new ways of working and collaboration in order to build shared, interoperable data &#38; insights with federated governance. […]]]></description>
		
		
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		<title>Extract, prepare, and analyze Salesforce.com data using Amazon AppFlow, AWS Glue DataBrew, and Amazon Athena</title>
		<link>https://noise.getoto.net/2021/10/15/extract-prepare-and-analyze-salesforce-com-data-using-amazon-appflow-aws-glue-databrew-and-amazon-athena/</link>
		
		<dc:creator><![CDATA[Ramkumar Nottath]]></dc:creator>
		<pubDate>Fri, 15 Oct 2021 16:28:28 +0000</pubDate>
				<category><![CDATA[Amazon AppFlow]]></category>
		<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=c7f28247cbd60bd322ed658316ef0d39</guid>

					<description><![CDATA[As organizations embark on their data modernization journey, big data analytics and machine learning (ML) use cases are becoming even more integral parts of business. The ease for data preparation and seamless integration with third-party data sources is of paramount importance in order to gain insights quickly and make critical business decisions faster. AWS Glue […]]]></description>
		
		
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		<title>Embed Amazon AppFlow in your applications using APIs</title>
		<link>https://noise.getoto.net/2021/07/29/embed-amazon-appflow-in-your-applications-using-apis/</link>
		
		<dc:creator><![CDATA[Jobin George]]></dc:creator>
		<pubDate>Thu, 29 Jul 2021 20:27:46 +0000</pubDate>
				<category><![CDATA[Amazon AppFlow]]></category>
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					<description><![CDATA[Software as a service (SaaS) based applications are in demand today, and organizations have a growing need to adopt them in order to make data-driven decisions. As such SaaS adoption grows, extracting data from various SaaS applications and running analytics across them gets complicated. You have to rely on a set of third-party tools to […]]]></description>
		
		
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		<title>Hydrate your data lake with SaaS application data using Amazon AppFlow</title>
		<link>https://noise.getoto.net/2021/06/07/hydrate-your-data-lake-with-saas-application-data-using-amazon-appflow/</link>
		
		<dc:creator><![CDATA[Ninad Phatak]]></dc:creator>
		<pubDate>Mon, 07 Jun 2021 18:46:20 +0000</pubDate>
				<category><![CDATA[Amazon AppFlow]]></category>
		<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Application Integration]]></category>
		<category><![CDATA[AWS Glue]]></category>
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					<description><![CDATA[Organizations today want to make data-driven decisions. The data could lie in multiple source systems, such as line of business applications, log files, connected devices, social media, and many more. As organizations adopt software as a service (SaaS) applications, data becomes increasingly fragmented and trapped in different “data islands.” To make decision-making easier, organizations are […]]]></description>
		
		
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		<item>
		<title>Integrating Datadog data with AWS using Amazon AppFlow for intelligent monitoring</title>
		<link>https://noise.getoto.net/2021/02/19/integrating-datadog-data-with-aws-using-amazon-appflow-for-intelligent-monitoring/</link>
		
		<dc:creator><![CDATA[Gopalakrishnan Ramaswamy]]></dc:creator>
		<pubDate>Fri, 19 Feb 2021 19:47:17 +0000</pubDate>
				<category><![CDATA[Amazon AppFlow]]></category>
		<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Simple Storage Services (S3)]]></category>
		<category><![CDATA[Application Integration]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=082b30c4a2b9895db11a4df18f10c825</guid>

					<description><![CDATA[Infrastructure and operation teams are often challenged with getting a full view into their IT environments to do monitoring and troubleshooting. New monitoring technologies are needed to provide an integrated view of all components of an IT infrastructure and application system. Datadog provides intelligent application and service monitoring by bringing together data from servers, databases, […]]]></description>
		
		
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		<title>Building Salesforce integrations with Amazon EventBridge and Amazon AppFlow</title>
		<link>https://noise.getoto.net/2020/08/26/building-salesforce-integrations-with-amazon-eventbridge-and-amazon-appflow/</link>
		
		<dc:creator><![CDATA[James Beswick]]></dc:creator>
		<pubDate>Wed, 26 Aug 2020 19:42:01 +0000</pubDate>
				<category><![CDATA[Amazon AppFlow]]></category>
		<category><![CDATA[Amazon EventBridge]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[serverless]]></category>
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					<description><![CDATA[This blog post demonstrates a solution that connects Salesforce to an event-driven application that uses EventBridge and Amazon AppFlow to route events. The application uses events from Salesforce as a starting point for a custom processing workflow in a Lambda function.]]></description>
		
		
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