AWS Partner Network (APN) Blog

Tag: Snowflake

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Explore Key Themes in the AWS Machine Learning Visionaries Partners Report

The AWS Machine Learning Visionaries Partners Report is a quarterly series that tracks, selects, collates, and distributes horizontal technology capabilities enabled by machine learning in areas that AWS expects to be transformative in 1-3 years. The series’ purpose is to share our insights with AWS Partners and to collect their interest, expertise, and insights in co-building along these prioritized themes. The reports include updates on series topics as we see changes in those areas, and new topics will also be added.

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Announcing the Canada 2022 AWS Partners of the Year

AWS is excited to unveil the 2022 Partners of the Year from Canada. Announced during the AWS Toronto Partner Summit, the awards recognize AWS Partner Network (APN) members who have demonstrated outstanding results and innovation using AWS products and solutions. Their expertise allows AWS customers in a wide range of industries—from finance to sports, startups to the public sector—to transform their industries and solve the most difficult business challenges.

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Integrating SaaS Data Platforms from ISV Partners with AWS Services

A SaaS data platform may run in the account of an ISV or a dedicated account provided by the customer. Learn about the main AWS services SaaS data platforms can integrate with to provide customers with a seamless experience and take advantage of AWS services in order to accelerate their drive to meeting their business goals. Explore how those integrations can be built and examples of AWS ISV Partners who have successfully developed these integrations.

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Enabling Data-Centric Artificial Intelligence Through Snowflake and Amazon SageMaker

Data-centric AI (DCAI) has been described as the discipline of systematically engineering the data used to build an AI system. It prescribes prioritizing improving data quality over tweaking algorithms to improve machine learning models. In this post, explore a DCAI solution built on Snowflake and Amazon SageMaker to serve as a factory for predictive analytics solutions. Learn about Snowflake’s integrations with SageMaker and get hands-on resources to help you put these capabilities into practice.

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Using Snowflake to Access and Combine Multiple Datasets Hosted by the Amazon Sustainability Data Initiative

The zero-cost Amazon Sustainability Data Initiative (ASDI) seeks to accelerate sustainability research and innovation by minimizing the cost and time required to analyze large sustainability datasets. In this post, we’ll use Snowflake, a data cloud company, to work with two different ASDI datasets containing climate and air quality data. We’ll demonstrate how to access ASDI datasets, join them together by date, and ultimately form a merged result.

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Using Amazon Comprehend Medical with the Snowflake Data Cloud

Healthcare customers use Snowflake to store all types of clinical data in a single source of truth. One method for gaining insights from this data is to use Amazon Comprehend Medical, which is a HIPAA-eligible natural language processing service that uses machine learning to extract health data from medical text. Learn how the Snowflake Data Cloud allows healthcare and life sciences organizations to centralize data in a single and secure location.

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Using AWS PrivateLink for Amazon S3 for Private Connectivity Between Snowflake and Amazon S3

AWS customers running on-premises workloads that leverage Amazon S3 previously needed to set up proxies running on Amazon EC2 to access S3 gateway endpoints. With AWS PrivateLink for Amazon S3, you can provision interface VPC endpoints (interface endpoints) in your virtual private cloud. These endpoints are directly accessible from applications that are on-premises over VPN and AWS Direct Connect, or in a different AWS region over VPC peering.

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Announcing the AWS Partner Network’s Regional EMEA 2021 Partners of the Year

Each year, we honor members of the AWS Partner Network (APN) who are leaders in the channel and play key roles in helping customers drive innovation and build solutions on AWS. Announced throughout the year, AWS Partner Awards recognize a wide range of born-in-the-cloud and traditional consulting and ISV partners whose business models have embraced specialization and collaboration. Please join us in congratulating these leading AWS Partners for their success!

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AI for Data Analytics (AIDA) Partner Solutions Will Empower Business Experts with Predictive Analytics

We are excited to introduce AI for data analytics (AIDA) partner solutions which embed predictive analytics into mainstream analytics workspaces. These AI/ML solutions from AWS Partners have interfaces and integrations that help bring predictive analytics into the normal workflow of business experts. AWS AIDA includes partner solutions from Amplitude, Anaplan, Causality Link, Domo, Exasol, InterWorks, Pegasystems, Provectus, Qlik, Snowflake, Tableau, TIBCO, and Workato.

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Behind the Scenes: What Makes a SaaS Organization Successful on AWS?

What does it take to build and run a successful SaaS business on AWS? This is a question the AWS SaaS Factory team gets often during our conversations with AWS Partners and customers who are moving to SaaS. While there is no single formula, we have been observing some common patterns and strategies that help organizations maximize SaaS success. In a recent webinar series, AWS SaaS Factory demystified some of the common patterns and strategies with AWS Partners Druva, NetWise, Stripe, Crowdstike, and Snowflake.