Tag: Serverless

With its event-driven nature, AWS Lambda provides seamless integration with modern-day platforms like Confluent Cloud. Explore best practices to set up network access paths for Lambda when integrating with Confluent Cloud, and review details about various resources like connectors, Kafka endpoints, and private links, as well as ways to establish connectivity between them and Lambda. Founded by the creators of Apache Kafka, Confluent enables organizations to harness business value from stream data.

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.

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.

In the post-pandemic era, however, consumers are increasingly less likely to interact with agents in traditional ways. By following the creed of “intuition engineered” while partnering with Unqork and AWS, Cognizant developed a new consumer interaction model to life. Learn how the Cognizant eApp Collaboration Solution, built on Unqork’s codeless development platform using AWS serverless architecture, brings increased engagement and productivity to the virtual new business experience.

Once data is available in Amazon Redshift Serverless, businesses typically look at ways to turn data into business insights. This is where modern analytics providers such as ThoughtSpot provide value. With its powerful AI-based search, live visualizations, and developer tools and APIs for sharing embedded analytics, ThoughtSpot democratizes access to data by providing self-service tools for all users. Learn how to create a connection between Amazon Redshift Serverless and ThoughtSpot.

Data analytics and data science are constantly described as a black box that only technical people understand. To overcome this, AWS offers a set of services that make it easier for any user to learn firsthand from the data. This self-service approach enables non-technical users without coding experience to be more autonomous in their analysis. Learn how Data Reply empowers organizations with advanced analytics to achieve outstanding outcomes through the right use of data.

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.

The modern API lifecycle does not end once your CI/CD pipeline pushes a deployment to production and the API becomes available to clients. They still have to access documentation, try out different parts of the API, or get notifications about changes. API developer portals have become standard for businesses offering APIs to their partners and end users. Learn how to integrate ReadMe.com with Amazon API Gateway to make sure your documentation is up to date and gets changed every time you change the API.

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

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.