AWS Partner Network (APN) Blog

Tag: AWS Partner Spotlight

Tableau-AWS-Partners

Analyzing COVID-19 Data with AWS Data Exchange, Amazon Redshift, and Tableau 

To help everyone visualize COVID-19 data confidently and responsibly, we brought together APN Partners Salesforce, Tableau, and MuleSoft to create a centralized repository of trusted data from open source COVID-19 data providers. Anyone can work with the public data, blend it with their own data, or subscribe to the source datasets directly through AWS Data Exchange, and then use Amazon Redshift together with Tableau to better understand the impact on their organization.

KNIME-AWS-Partners

Boosting the Assembly and Deployment of Artificial Intelligence Solutions with KNIME Visual Data Science Tools

With rapid advancements in machine learning techniques over the past decade, intelligent decision-making and prediction systems are poised to transform productivity and lead to significant economic gains. KNIME provides visual data science tools to help data science teams rapidly build and deploy data-driven solutions that integrate with AWS decision support tools and services. Learn about the barriers to adoption of AI and the ways in which the KNIME tools remove those barriers.

Reducing the Cost of Managing Multiple AWS Accounts Using AWS Control Tower

As larger and more complex workloads are deployed on AWS, multi-account solutions are an increasingly common architectural blueprint. Often referred to as cloud “landing zones,” these blueprints enable simple administrative boundaries. However, using multiple accounts increases the complexity of security tooling, access control and authorization, and cross-account networking. AWS Control Tower simplifies the process of setting up multi-account environments with predefined security baseline templates.

Deloitte-AWS-Partners

Developing Migration and Rapid Application Development Strategies for SAP S/4HANA on AWS

Migrating from an on-premises SAP environment to SAP S/4HANA on AWS can appear intimidating, particularly for organizations that have little experience with cloud infrastructure. There’s good reason for caution: shifting mission-critical workloads without proper planning can disrupt your business. Fortunately, a suite of powerful tools from AWS and Deloitte can help you complete a migration or greenfield deployment efficiently and with minimal disruption.

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ADP Transforms its Human Capital Management Technology with Support of AWS SaaS Factory

The AWS SaaS Factory team recently worked with Automatic Data Processing (ADP) to help build its next gen HCM solution as a SaaS offering on AWS. ADP leveraged AWS services for its next gen human capital management (HCM) and payroll platform that helps organizations create highly personalized work and pay experiences. ADP chose AWS as the cloud platform for their HCM system for its security, capability, and innovation.

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Integrating Third-Party Solutions to AWS Config Rule Evaluations

AWS Config continuously monitors and records your AWS resource configurations, and allows you to automate the evaluation of recorded configurations against desired configurations. This post aims to assist you on deploying a set of custom AWS Config Rules that leverages third-party REST APIs to evaluate AWS resources in an automated fashion. The AWS Config evaluations represented in this guide show the reporting status of Amazon EC2 instances against TrendMicro and Qualys.

Mactores-AWS-Partners

How Mactores Tripled Performance by Migrating from Oracle to Amazon Redshift with Zero Downtime

Mactores used a five-step approach to migrate, with zero downtime, a large manufacturing company from an Oracle on-premises data warehouse to Amazon Redshift. The result was lower total cost of ownership and triple the performance for dependent business processes and reports. The migration tripled the customer’s performance of reports, dashboards, and business processes, and lowered TCO by 30 percent. Data refresh rates dropped from 48 hours to three hours.

Digital-Workplace-Program

How APN Partners Can Help You Build a Digital Workplace on AWS

The Digital Workplace program at AWS identifies APN Partners and AWS solutions that can help you build a digital workplace. All the partners and AWS solutions that we showcase have passed a Technical Baseline Review with AWS, and some of our APN Partners have also created AWS Quick Starts. These accelerators that reduce hundreds of manual procedures into just a few steps, so you can build your production environment quickly and start using it immediately.

Next-Caller-AWS-Partners

Building a Data Processing and Training Pipeline with Amazon SageMaker

Next Caller uses machine learning on AWS to drive data analysis and the processing pipeline. Amazon SageMaker helps Next Caller understand call pathways through the telephone network, rendering analysis in approximately 125 milliseconds with the VeriCall analysis engine. VeriCall verifies that a phone call is coming from the physical device that owns the phone number, and flags spoofed calls and other suspicious interactions in real-time.

Q/Kdb+ on AWS Lambda: Serverless Time-Series Analytics at Scale

AWS Lambda is a particularly desirable environment for HPC applications because of the high level of parallelization it supports. Kx, an APN Advanced Technology Partner, created a q/kdb+ runtime that enables financial institutions to optimize their applications for the serverless environment of AWS Lambda. Q/kdb+ has been widely adopted by the financial services industry because of its small footprint, high performance, and high volume time-series analytics capabilities.