AWS Big Data Blog

Category: Amazon Data Firehose

Ingest telemetry messages in near real time with Amazon API Gateway, Amazon Data Firehose, and Amazon Location Service

These organizations use third-party satellite-powered terminal devices for remote monitoring using telemetry and NMEA-0183 formatted messages generated in near real time. This post demonstrates how to implement a satellite-based remote alerting and response solution on the AWS Cloud to provide time-critical alerts and actionable insights, with a focus on telemetry message ingestion and alerts. Key services in the solution include Amazon API Gateway, Amazon Data Firehose, and Amazon Location Service.

Stream real-time data into Apache Iceberg tables in Amazon S3 using Amazon Data Firehose

In this post, we discuss how you can send real-time data streams into Iceberg tables on Amazon S3 by using Amazon Data Firehose. Amazon Data Firehose simplifies the process of streaming data by allowing users to configure a delivery stream, select a data source, and set Iceberg tables as the destination. Once set up, the Firehose stream is ready to deliver data.

Uplevel your data architecture with real- time streaming using Amazon Data Firehose and Snowflake

Today’s fast-paced world demands timely insights and decisions, which is driving the importance of streaming data. Streaming data refers to data that is continuously generated from a variety of sources. The sources of this data, such as clickstream events, change data capture (CDC), application and service logs, and Internet of Things (IoT) data streams are […]

Deliver decompressed Amazon CloudWatch Logs to Amazon S3 and Splunk using Amazon Data Firehose

You can use Amazon Data Firehose to aggregate and deliver log events from your applications and services captured in Amazon CloudWatch Logs to your Amazon Simple Storage Service (Amazon S3) bucket and Splunk destinations, for use cases such as data analytics, security analysis, application troubleshooting etc. By default, CloudWatch Logs are delivered as gzip-compressed objects. […]

Exploring real-time streaming for generative AI Applications

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. FMs, as the name suggests, provide the foundation to build more specialized downstream applications, and are unique in their adaptability. They can perform a wide range of different tasks, such as natural language processing, classifying images, […]

Build an end-to-end serverless streaming pipeline with Apache Kafka on Amazon MSK using Python

The volume of data generated globally continues to surge, from gaming, retail, and finance, to manufacturing, healthcare, and travel. Organizations are looking for more ways to quickly use the constant inflow of data to innovate for their businesses and customers. They have to reliably capture, process, analyze, and load the data into a myriad of […]

Architecture diagram

Gain insights from historical location data using Amazon Location Service and AWS analytics services

Many organizations around the world rely on the use of physical assets, such as vehicles, to deliver a service to their end-customers. By tracking these assets in real time and storing the results, asset owners can derive valuable insights on how their assets are being used to continuously deliver business improvements and plan for future […]

Solution design diagram

Run Kinesis Agent on Amazon ECS

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Kinesis Agent is a standalone Java software application that offers a straightforward way to collect and send data to Amazon Kinesis Data Streams and Amazon Kinesis Data Firehose. The agent continuously monitors […]

Perform Amazon Kinesis load testing with Locust

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Building a streaming data solution requires thorough testing at the scale it will operate in a production environment. Streaming applications operating at scale often handle large volumes of up to GBs per […]

Migrate from Amazon Kinesis Data Analytics for SQL Applications to Amazon Managed Service for Apache Flink Studio

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. In this post, we […]