Tag: Amazon MSK

The restaurant industry is experiencing an unprecedented transformational change. Elevated expectations for cleanliness, health, and safety are accelerating the adoption of contactless technologies, curbside pickup options, and mobile payments. Learn how Capgemini’s Digital Cloud Platform (DCP) for Restaurants empowers the industry to reimagine digital transformation by delivering compelling customer interaction and streamlined operations while reducing costs and improving efficiency.

To reap the benefits of cloud computing, organizations cannot simply take their existing applications and architectures in their legacy on-premises environment and move them as-is to the cloud. True cloud modernization with MongoDB Atlas on AWS enables you to move data and simultaneously apply the latest innovations in development methodologies, architectural patterns, and technologies to refresh your portfolio of existing applications.

Customers across industries are looking to optimize business KPIs and outcomes throughout the product lifecycle. Enterprises can achieve this goal by using real-time insights from industrial assets provided by their digital twins, a unique data-driven approach has evolved to become a critical tool for accelerating enterprise digital transformation. Learn about the Atos Digital Twin Platform, its delivery methodology, the industry challenges it addresses, and the underlying reference architecture powered by AWS.

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed, highly available, and secure Apache Kafka service that makes it easy to build and run applications that use Kafka to process steaming data. Learn how to use the new open source Kafka Connect Connector (StreamReactor) from Lenses.io to query, transform, optimize, and archive data from Amazon MSK to Amazon S3. We’ll also demonstrate how to use Amazon Athena to query the partitioned parquet data directly from S3.

When streaming data comes in from a variety of sources, organizations should have the capability to ingest this data quickly and join it with other relevant business data to derive insights and provide positive experiences to customers. Learn how you can build and run a fully managed Apache Kafka-compatible Amazon MSK to ingest streaming data, and explore how to use a Kafka connect application to persist this data to Snowflake. This enables businesses to derive near real-time insights into end users’ experiences and feedback.

To be a successful fintech startup, companies have to build solutions fast so the business can achieve its goals. However, you can’t compromise on security, reliability, or support. As an AWS Financial Services Competency Partner, Behalf is committed to delivering reliable, secure, low-cost payment processing and credit options to business customers. Learn how Behalf chose Amazon MSK to meet its increasing streaming data needs in a reliable and cost-efficient manner.