Ingestion for streaming data often reads data generated by multiple sources, sometimes thousands of them, such as in the case of IoT (internet of things) devices.

This repository provides examples and code snippets for streaming data processing using Apache Spark on Databricks with AWS services. It demonstrates how to leverage the power of Spark Structured ...

We can implement a reliable and scalable, fault tolerant data ingestion system using Kafka and AWS S3 Kafka is a distributed streaming platform that collects and process data in the realtime.

The AWS Console is simpler to use for configuration than other methods. Lambda is currently available only in a few regions (us-east-1, us-west-2, eu-west-1, ap-northeast-1). Once the setup is ...

Streaming data, also called event stream processing, is usually discussed in the context of big data. It is data that is generated continuously, often by thousands of data sources, such as sensors ...

Attunity, a provider of data integration and big data management software solutions, has launched Attunity for Data Lakes on Amazon Web Services (AWS), a new solution to automate streaming data ...

While you were out enjoying the sunshine and sipping margaritas over the summer, Amazon continued to update its cloud platform with new services. Here's what you need to know.

Modernize data ingestion, processing, and visualization on AWS With an increased focus on outcomes-based data management strategies, organizations must be able to extract maximum value from their ...

StreamNative, the cloud-native data streaming company, today announced the General Availability (GA) of Ursa Engine for Bring Your Own Cloud (BYOC) on Amazon Web Services (AWS), which natively ...