AWS Big Data Blog
Category: Amazon Data Firehose
Analyze logs with Datadog using Amazon Kinesis Data Firehose HTTP endpoint delivery
February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Amazon Kinesis Data Firehose now provides an easy-to-configure and straightforward process for streaming data to a third-party service for analysis, including logs from AWS services. Due to the varying formats and high […]
Stream data to an HTTP endpoint with Amazon Data Firehose
November 2024: This post was reviewed and updated for accuracy. The value of data is time sensitive. Streaming data services can help you move data quickly from data sources to new destinations for downstream processing. For example, Amazon Data Firehose can reliably load streaming data into data stores like Amazon Simple Storage Service (Amazon S3), Amazon Redshift, Amazon OpenSearch Service, and […]
How Wind Mobility built a serverless data architecture
We parse through millions of scooter and user events generated daily (over 300 events per second) to extract actionable insight. We selected AWS Glue to perform this task. Our primary ETL job reads the newly added raw event data from Amazon S3, processes it using Apache Spark, and writes the results to our Amazon Redshift data warehouse. AWS Glue plays a critical role in our ability to scale on demand. After careful evaluation and testing, we concluded that AWS Glue ETL jobs meet all our needs and free us from procuring and managing infrastructure.