Tag: Amazon Kinesis Data Firehose

A SaaS data platform may run in the account of an ISV or a dedicated account provided by the customer. Learn about the main AWS services SaaS data platforms can integrate with to provide customers with a seamless experience and take advantage of AWS services in order to accelerate their drive to meeting their business goals. Explore how those integrations can be built and examples of AWS ISV Partners who have successfully developed these integrations.

To stay ahead in a highly competitive market, FinTechs face multiple challenges, especially around maintaining development agility, operational excellence, and a strong security posture. This post explores how the ChaosSearch data platform combines the industry-leading scalability, data availability, security, and performance provided by Amazon S3 with revolutionary technology to help FinTechs address critical pain points and overcome core operational challenges.

In the healthcare industry, the exchange of data incurs risks as it contains personally identifiable information (PII) and protected health information (PHI). At the same time, not exchanging the data can keep valuable insights hidden. Apexon’s data anonymization and de-identification solution uses sophisticated machine learning algorithms to ensure the exchange of data happens without any risk of PII/PHI being exposed, while allowing organizations to meet compliance and regulatory requirements.

The increase in market uncertainty over the last couple of years has demonstrated the need for market participants to have a dynamic view of the risks and impacts due to market moves on their portfolios. This post explores how Validus, a leading independent technology-enabled financial services firm, built a Bloomberg real-time market data integration using serverless managed services on AWS.

Firms spend substantial efforts to identify and collect quality data streams from different sources. However, identifying and interpreting energy, water, or gas usage patterns and consumption types is sometimes insufficient. In this post, you’ll learn how Storm Reply, combining industry knowledge with its expertise in the development of data analytics platforms in AWS, can help customers in the design, development, and maintenance of secure serverless IoT big data platforms with a focus on sustainability.

To create more sustainable solutions that yield less food loss and waste, Mendix, a leading low-code application development platform owned by Siemens, and AWS worked together to help suppliers develop connected and transparent logistics. This post explains how organizations can leverage the Mendix platform, AWS Internet of Things (IoT), and artificial intelligence (AI) and machine learning (ML) services to manage logistics of temperature-controlled products.

Serverless technologies have matured a lot over the years, and it’s easier than ever to deploy the entire stack of applications using serverless and AWS managed services. Infosys is seeing enterprises across industries take advantage of the power of serverless architecture for a variety of use cases. Learn how serverless architecture on AWS can help enterprises modernize their application landscape, along with common use cases and some reference architectures.

With the support of AWS SaaS Factory, GA Telesis launched the FraudBlock SaaS solution, a fraud protect API service for companies to protect their organizations from BEC/EAC scams and help securely perform B2B transactions. The SaaS Factory team spoke with Darryl Maraj, Head of Technology at DIG and CTO at Blockrails, to learn more about Blockrails, the value its new FraudBlock solution brings to customers, and the key lessons learned building a SaaS solution on AWS.

AWS Lambda allows you to run your code without provisioning or managing servers. Observability requires a different and more integrated set of telemetry that gives a comprehensive picture of your functions. Learn how this AWS service is used in practice and how Sumo Logic helps demystify Lambda observability by streamlining telemetry ingestion, unifying data, and correlating insights across disparate services.

Forward-looking finance teams will build resilience and responsiveness to future disruption. To deliver this strategic mandate, finance offices must be data-driven and share insights that help the organization connect, predict, and adapt within a changing business environment. Learn how Genpact’s data lake analytics reference architecture helps finance teams incorporate functional expertise into AWS solutions with the goal of delivering business impact beyond increased productivity.