Remove Big Data Remove Lambda Remove Serverless
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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

Before processing the request, a Lambda authorizer function associated with the API Gateway authenticates the incoming message. After it’s authenticated, the request is forwarded to another Lambda function that contains our core application logic. The code runs in a Lambda function. Implement your business logic in this file.

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AWS Lambda: The Honcho of the Serverless World

RapidValue

One such service is their serverless computing service , AWS Lambda. For the uninitiated, Lambda is an event-driven serverless computing platform that lets you run code without managing or provisioning servers and involves zero administration. How does AWS Lambda Work. Why use AWS Lambda? Read on to know.

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Innovative data integration in 2024: Pioneering the future of data integration

CIO

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

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Serverless Architecture and Cloud-Native App Development

RapidValue

Serverless architecture is another buzzword to hit the cloud-native space, but what is it, is it worthwhile and how can it work for you? Serverless architecture is on the rise and is rapidly gaining acceptance. What is Serverless Architecture? In serverless applications, a cloud provider manages the provision of servers.

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Save on Your AWS Bill: Tips to Optimize Your Cloud Costs

Mentormate

The true power of the service is that you commit to compute resources (Amazon EC2, AWS Fargate, and AWS Lambda), and not to a specific EC2 instance type of family. Examples of such workloads are big data, containerized workloads, CI/CD, web servers, and high-performance computing (HPC). Rearchitecting. Relational Databases.

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120+ live online training courses opened for January and February

O'Reilly Media - Ideas

Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. Programming with Java Lambdas and Streams , January 22. How to Give Great Presentations , February 7.

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170+ live online training courses opened for March and April

O'Reilly Media - Ideas

Data science and data tools. Business Data Analytics Using Python , February 27. Designing and Implementing Big Data Solutions with Azure , March 11-12. Cleaning Data at Scale , March 19. Practical Data Cleaning with Python , March 20-21. Programming with Java Lambdas and Streams , March 5.