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Announcing GA of DataFlow Functions

Cloudera

Today, we’re excited to announce that DataFlow Functions (DFF), a feature within Cloudera DataFlow for the Public Cloud, is now generally available for AWS, Microsoft Azure, and Google Cloud Platform. DFF provides an efficient, cost optimized, scalable way to run NiFi flows in a completely serverless fashion.

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5 Questions to Ask Before Going Serverless

Modus Create

Legacy databases can’t scale fluidly with your serverless functions, creating a major bottleneck in the scalability of your serverless application. In the AWS world, the go-to options for solving this issue would be DyanamoDB or Aurora Serverless. Since it was an isolated feature, we created a separate Lambda function for it on AWS.

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NiFi as a Function in DataFlow Service

Cloudera

NiFi as a Function in DataFlow Service provides an efficient, cost optimized, scalable way to run NiFi flows in a completely serverless fashion. Functions as a Service (FaaS) is a category of cloud computing services that all main cloud providers are offering (AWS Lambda, Azure Functions, Google Cloud Functions, etc).

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What is Cloud FinOps?

Perficient

With the benefits of scalability, flexibility, and cost savings, cloud computing has become the go-to solution for businesses looking to stay competitive in today’s fast-paced marketplace. What is FinOps? In today’s business world, companies are increasingly turning to cloud computing to power their operations.

Cloud 69
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Value Proposition of the Cloudera Operational Database over Legacy Apache HBase Deployments

Cloudera

AWS and Azure standards) reducing cost, complexity and ensuing risk mitigation in HA scenarios: . Savings opportunity on AWS. Savings opportunity on Azure. Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. Cloud-Native Design Patterns.

Storage 92
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Leveraging cloud-native managed services for long-term benefits

Capgemini

Traditionally, managed-services providers have focused on running and operating on-premises infrastructures and, more recently, handling IaaS for cloud providers like AWS and Microsoft Azure. But because of the traditional separation between infrastructure and application groups, these teams have operated in a siloed fashion.

Cloud 52
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LexisNexis rises to the generative AI challenge

CIO

If you’re an end user and you are part of our conversational search, some of those queries will go to both ChatGPT-4 in Azure as well as Anthropic in AWS in a single transaction,” the CTO says. “If We use AWS and Azure. If I type in a query, it could go to both based on the type of question that you’re asking.