AWS Partner Network (APN) Blog

Tag: Snowflake

Enriching Snowflake Data with Amazon Location Service and AWS Lambda

The integration of geospatial data into the broader business intelligence and decision-making process is referred to as location intelligence. On AWS, you can use the Snowflake Data Cloud to integrate fragmented data, discover and securely share data, and execute diverse analytic workloads. This post shows how you can enrich your existing Snowflake data with location-based insights using Amazon Location Service for location intelligence workloads.

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Implementing a Snowflake-Centric Data Mesh on AWS for Scalability and Autonomy

A data mesh architecture is a relatively new approach to managing data in large organizations, aimed at improving scalability, agility, and autonomy of data teams. There’s a need for an architecture that removes complexity and friction of provisioning and managing the lifecycle of data. This post outlines an approach to implement a data mesh with Snowflake as the data platform and with many AWS services like to support all pillars of the data mesh architecture.

How Snowflake Optimized its Virtual Warehouses for Sustainability Using AWS Graviton

Snowflake aspires to be a leader in environmental sustainability, and its goal is to provide the best data cloud with the lowest carbon footprint on the planet. Learn how Snowflake reduced its carbon emissions footprint and improved performance efficiency by transitioning virtual warehouses to AWS Graviton-based instance types. This enabled Snowflake to reduce the carbon intensity of workloads, so it can meet customer demand sustainably even as compute requirements continue to grow.

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How hc1 Turns Lab Data into Personalized Health Insights Using AWS Serverless

Since 2011, hc1 has emerged as a bioinformatics leader in precision testing and prescribing. The hc1 platform built on AWS organizes live data, including lab results, genomics, and medications, to deliver solutions ensuring the right patient gets the right test and right prescription at the right time. Learn how hc1 ingests, organizes, and normalizes customer data to deliver analytics and improve operations management. As an outcome, customers use these insights to their fullest potential.

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Accelerate Machine Learning with Amazon SageMaker Ready Partners

We’re excited to announce the launch of the Amazon SageMaker Ready specialization for AWS Partners with Amazon SageMaker software offerings. Through this specialization, customers can identify software solutions that integrate with Amazon SageMaker—allowing them to seamlessly solve use cases and innovate with machine learning. Software offerings include data platforms, data pre-processing and feature stores, ML frameworks, MLOps tools, and business decisioning and applications.

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Announcing the 2022 Regional and Global AWS Partners of the Year

Announced during a Partner Awards Gala at AWS re:Invent, the 2022 AWS Partner Awards recognize a wide range of AWS Partners which have embraced specialization, innovation, and collaboration over the past year. AWS Partner Awards honor partners whose business models continue to evolve and thrive on AWS as they work with customers. Please join us in congratulating these top AWS Partners who are dedicated to helping customers build, market, and sell their offerings so they can grow successful cloud businesses.

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How to Accelerate SAP Insights with Qlik, Snowflake, and AWS

Sales order fulfillment and billing can impact customer satisfaction, and receivables and payments affect working capital and cash liquidity. As a result, the order-to-cash process is the lifeblood of the business and is critical to optimize. Qlik Cloud Data Integration accelerators integrate with Snowflake to automate the ingestion, transformation, and analytics to solve some of the most common SAP business problems, enabling users to derive business insights that can drive decision-making.

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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.