AWS Partner Network (APN) Blog

Tag: AWS Partner Solutions Architects (SA)

Heimdall-Data-AWS-Partners

Advanced Connection Pooling with the Heimdall Proxy

As databases are often a key component of internet infrastructure, IT departments may be challenged by poor connection management from the application. The Heimdall Proxy helps developers, database administrators, and architects horizontally scale out and optimize connections through connection pooling for Amazon Amazon RDS and Amazon Redshift without any application changes. As a result, you will reduce your database instance size and support higher user counts.

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Using Dremio for Fast and Easy Analysis of Amazon S3 Data

Although many SQL engines allow tools to query Amazon S3 data, organizations face multiple challenges, including high latency and infrastructure costs. Learn how Dremio empowers analysts and data scientists to analyze data in S3 directly at interactive speed, without having to physically copy data into other systems or create extracts, cubes, and/or aggregation tables. Dremio’s unique architecture enables faster and more reliable query performance than traditional SQL engines.

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How to Deploy AI Inference on the Edge with the LG AIoT Board and AWS IoT Greengrass

The growth of AI in a wide range of applications demands more purpose-built processors to provide scalable levels of performance, flexibility, and efficiency. The LG AIoT board helps customers accelerate their computer vision and machine learning journey using AWS. Learn how to build a simple AI-enabled application with AWS IoT Greengrass that takes advantage of the hardware AI acceleration on the LG AIoT board. AWS IoT Greengrass extends AWS on your device and offers the cloud programming model and tools at the edge.

Performant Access to Your Geoscience Data in the Cloud Using OSDU and IVAAP

Many oil & gas operators need near-instant access to their geoscience data. Unfortunately, most subsurface applications provide only a limited, fragmented view of data. INT’s data visualization platform IVAAP uses OSDU on AWS to enable users who want to optimize this and other workflows. The IVAAP platform offers a single point of access to search, interact with, analyze, and visualize multiple petrotechnical data sources in a single web-based application.

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Using Amazon SQS in a Multi-Tenant SaaS Solution

Modern applications often rely on queuing for service integrations, batch processing, or as part of workflow orchestration. Queues are key to adding scale and resiliency to your environment. This is especially true in software-as-a-service (SaaS) environments. Explore some of the common scenarios used when building SaaS solutions with Amazon Simple Queue Service (SQS), and learn how data isolation, scalability, and compliance requirements might influence the queuing model you select.

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10 Best Practices to Help Partners Build AWS Quick Starts for Customers

AWS Partners in the AWS Quick Start program can help their customers automate the deployment of their solutions, increasing customer engagements and improving the customer experience. The AWS Quick Start team has had considerable experience working with a variety of partner products, and has identified best practices to follow when developing a Quick Start and common missteps to avoid. By following these steps, you can efficiently and effectively develop Quick Starts using the AWS platform.

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Interactive Scientific Visualization on AWS with NVIDIA IndeX SDK

Scientific visualization is critical to understand complex phenomena modeled using high performance computing simulations. However, it has been challenging to do this effectively due to the inability to visualize, explore, and analyze large volumes of data and lack of collaborative workflow solutions. NVIDIA IndeX on AWS addresses each of these problems by providing a scientific visualization solution for massive datasets, thus opening the doors for discovery.

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How to Unleash Mainframe Data with AWS and Qlik Replicate

Historically, mainframes have hosted core-business processes, applications, and data, all of which are blocked in these rigid and expensive systems. AWS and Qlik can liberate mainframe data in real-time, enabling customers to exploit its full business value for data lakes, analytics, innovation, or modernization purposes. In this post, we describe how customers use Qlik Replicate real-time data streaming to put mainframe core-business data onto AWS.

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Make Intelligent Business Decisions Faster and Accelerate SAP Cloud Transformation with AWS and Accenture

Running SAP on the cloud can help customers reduce total cost of ownership, increase agility, and create a competitive advantage out of SAP systems and data. To capitalize on these benefits, organizations need a cloud provider and migration partner that can help them migrate quickly and reliably. Learn how Accenture’s Cloud Migration Factory, Data Lake Accelerator, and Cloud Suite help customers more effectively achieve their SAP strategies on AWS.

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How Matillion Multiplies the Performance of Complex ETL Jobs with Amazon Redshift Materialized Views

Amazon Redshift recently announced support for materialized views, which lead to significantly faster query performance on repeatable query workloads. That, in turn, reduces the time to deliver the datasets you need to produce your business insights. Matillion ETL for Amazon Redshift provides comprehensive enterprise-grade features to simplify and speed up building and maintaining these pipelines.