AWS Partner Network (APN) Blog

Category: Learning Levels

How to Use Amazon Rekognition on Cloudinary to Auto-Tag Faces with Names

Learn how to seamlessly integrate Amazon Rekognition with the Cloudinary platform, and build an application that automatically tags people in images with names. This solution learns people’s faces from photos uploaded to a “training” folder in Cloudinary. In many cases, a single photo of someone is enough for Amazon Rekognition to learn and then, later on, identify and tag that person. This works in most photograph scenes and even pictures with many other people in them.

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Why Your Company Should Sponsor AWS re:Invent 2019—Education, Influencers, Leads

Is your company joining the up to 65,000 expected attendees at AWS re:Invent 2019? Enhance your conference experience and drive lead generation through sponsorship—an exclusive opportunity for APN Partners and select AWS enterprise customers. Whether you’re a startup focused on lead generation, a GSI seeking high-touch C-level engagement, or a technology partner looking to educate a targeted audience on a new product feature, there are sponsorship opportunities that align with your goals.

Introducing the AWS Industrial Software Competency Program

The AWS Industrial Software Competency highlights top APN Consulting and Technology Partners that provide solutions and services for an end-to-end industrial software toolchain. These partners support the primary steps in discrete manufacturing or process industries: Product Design, Production Design, and Production/Operations. They follow AWS best practices for building the most secure, high-performing, resilient, and efficient cloud infrastructure for industry applications.

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Using the Heimdall Proxy to Split Reads and Writes for Amazon Aurora and Amazon RDS

Horizontally scaling a SQL database involves separating the write-master from read-only servers. This allows the write server to perform dedicated write operations rather than processing redundant read queries. However, writing to one node and reading from another can result in inconsistent data due to synchronization delays. Heimdall Data offers a database proxy to help developers and architects achieve optimal scale from their Amazon RDS and Amazon Aurora environment without any application changes.

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How to Get the Global Scalability of AWS Storage at Local Speed with Nasuni

Being able to access files via standard file protocols from one or more locations is important to many organizations. With Nasuni, all data is stored on Amazon S3, enabling customers to have access to their data anywhere over standard file protocols using many of the NAS features they’re used to at local performance, without having to maintain full replicas of the data in each location. Nasuni also has a control plane running on AWS that enables functionality such as global file locking.

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VMware Greenplum on AWS: Parallel Postgres for Enterprise Analytics at Scale

Are you thinking of deploying VMware Greenplum on the AWS Cloud? Many customers also want to shift the responsibility for infrastructure to AWS, considering the alternatives. With VMware Greenplum on AWS, deployments are completely automated and completes in less than an hour. VMware Greenplum is a commercial fully-featured MPP data warehouse platform powered by the open source VMware Greenplum Database. It provides powerful and rapid analytics on petabyte scale data volumes.

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Shifting Away from Legacy Data Systems Helps Companies Tap into Their Most Vital Resource

Have you ever noticed that when businesses talk about data, they often use metaphors having to do with water? In the same way plumbing makes modern life possible, a well-maintained data infrastructure is a crucial foundation on which the health of a business depends. Examine how replacing an inflexible, legacy data system with a cloud data warehousing solution can open the “floodgates” to new opportunities and modernize the approach to data management.

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Accelerating Data Warehouse Migration to Amazon Redshift Using Cognizant Intelligent Data Works

Many organizations are looking to migrate existing, on-premises enterprise data warehouse systems to cloud-based data warehouse systems such as Amazon Redshift. Here, we discuss how Cognizant’s Intelligent Migration Workbench (IMW) can be used to accelerate the data warehouse migrations while converting Oracle PL/SQL and Tetradata BTEQ scripts. IMW makes it easy to move mission critical proprietary code to AWS, giving customers competitive edge through faster time to market.

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WireWheel Leverages AWS SaaS Factory to Help Companies Solve Data Privacy Management

For SaaS companies responsible for data collection and processing on behalf of multiple organizations, privacy is a core requirement and a competitive differentiator. Knowing the answers to these questions is critical to meeting data management, security, and privacy requirements. WireWheel is a group of privacy experts, data scientists, and business leaders that have set out to help companies meet this challenge.

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Transforming Smart Buildings and Facilities with Cognizant Connected Places on AWS

In today’s increasingly digital world, the nature and function of buildings is constantly changing. Facility managers face increasing pressure to adapt to an ever-evolving workplace and regulatory requirements while improving customer comforts and reducing operating costs. Learn about Cognizant’s smart building solution and why this APN Premier Consulting Partner chose AWS for hosting its application, as well as how AWS helps Cognizant fulfill commitments to customers.