Terraform module, which creates almost all supported AWS Lambda resources as well as taking care of building and packaging of required Lambda dependencies for functions and layers. This Terraform ...

Nowadays, many organizations pay attention to the relevant technologies of Big Data to analyze more accurately, quickly, and efficiently. Real-time Big Data analytics is challenging due to the massive ...

In this article, we present a hardware architecture optimized for sparse and dense matrix processing in TensorFlow Lite and compatible with embedded-heterogeneous devices that integrate central ...

With AWS Lambda, Snowflake and Apache Airflow, data teams can now handle challenging tasks, quickly scale when needed and reduce the amount of infrastructure they manage.

It demonstrates how to handle file upload with Amazon S3 and AWS Lambda. While with Azure Functions, you will first upload the file to your function, process the file and then store it in an Azure ...