Tag: AWS Step Functions

Provectus developed a comprehensive data quality assurance (Data QA) solution that it offers customers as a blueprint for assuring data quality. Learn how Provectus built a high-load data quality pipeline on AWS for Lane Health’s data platform, while meeting the requirements for rapid innovation, performance, security, and cost-efficiencyLane Health gained the ability to track if and when its data deteriorated during transformation and understand the quality of data, and to explore and detect weak spots in data.

Salesforce Event Relays enable bidirectional event flows between Salesforce and AWS through Amazon EventBridge. This opens up opportunities to build event-driven, near real-time applications, responding to feedback and outside triggers as they happen. In this post, we use the bidirectional integration to pass events from Salesforce to AWS to send SMS messages, and notify you when a user responds to your message. This is an event-driven architecture, leveraging Custom Platform Events in Salesforce.

Digital food ordering is one of the most rapidly growing global industries today. Cognizant’s OrderServ 2.0 platform is an omni-channel digital ordering platform designed for the restaurant and food services industries. It has built-in connectors for seamless integration with restaurant point-of-sale (POS) systems, master data management, payments services, loyalty programs, and other business applications. OrderServ 2.0 is offered as a SaaS platform hosted on AWS.

Provectus, an AWS Premier Tier Services Partner with the Data and Analytics Competency, helps clients resolve issues of their legacy, on-premises data platforms by implementing best practices for the migration and optimization of Amazon EMR workloads. This post examines the challenges organizations face along the path to a successful migration, and explores best practices for re-architecting and migrating on-premises data platforms to AWS

While utilities have historically been rich with data from customers, programs, and assets, many organizations often manage data in siloes. Source data can also be disorganized, with deficiencies in defined quality assurance and quality control processes. Learn how utilities are successfully embracing Accenture’s data-led transformation (DLT) and leveraging accelerators powered by AWS to reach their business objectives and meet regulatory obligations.

Large enterprise customers depend heavily on commercial off the shelf (COTS) products for scheduling jobs or running batch jobs, but these COTS products are often not cloud-native which prevents them from taking advantage of the various cloud services. Learn how Resolution Life US collaborated with Cognizant and AWS to modernize its on-premises third-party enterprise job scheduler with an event-driven custom scheduler solution using Amazon FSx, AWS Step Functions, Amazon EventBridge, and AWS Lambda.

Many AWS customers want an easy way to deploy, configure, manage, and upgrade mobile private networks that scale easily based on demand. Learn how to take advantage of Athonet’s fully automated 4G/5G professional-grade solutions on AWS to accelerate business outcomes. By combining the cloud-native capabilities of Athonet Core network functions with AWS services, you can demonstrate the deployment of Athonet Core on AWS in a matter of minutes.

Multi-region architectures improve latency for applications with global user bases and optimize RTO across the broadest set of potential failure events. However, creating and maintaining these architectures can add significant cost and complexity. Learn how to build and deploy a multi-region serverless application while minimizing cost and complexity using AWS Step Functions and Fauna, an AWS Partner and distributed document-relational database delivered as a cloud API.

AdaptX clinical management software uses electronic medical records (EMRs) to derive insights—enabling providers and clinical leaders to efficiently leverage real-world data to transform patient care. This post explores how AdaptX built a modern data architecture using Amazon Athena, AWS Lambda, and AWS Step Functions to automate the extraction, transformation, and loading (ETL) of clinical data from provider EMR systems. Results included improved accuracy, scalability, and a better end-customer experience.

Explore a solution Contino built for a client to automate security scanning on software packages. This allowed developers to continue building, without added friction, and helped security teams be confident that vulnerabilities are discovered early and didn’t make their way to production. Learn about the context Contino was working with and the approach it took, and the technical challenges faced. After reading this post, you’ll understand how to develop a similar solution for your organization and some pitfalls to avoid.