Kinesis Data Streams vs. Kinesis Firehose Delivery Streams Data Science by Sunny Srinidhi - May 25, 2020May 25, 20200 I have talked about Kinesis before, and I'm sure you've been using Kinesis for longer than me. But according to what I've seen, not all teams or companies use all parts of Kinesis. And, there are four parts in Kinesis: Ingest and process streaming data with Kinesis streams - Kinesis Data StreamsDeliver streaming data with Kinesis Firehose delivery streams - Kinesis Firehose Delivery StreamsAnalyse streaming data with Kinesis analytics applications - Kinesis AnalyticsIngest and process media streams with Kinesis video streams - Kinesis Video Streams All these four parts offer something different. Well, the last two are definitely different than the first two. But it's the first two that I see a lot of people getting confused with. So I thought I'll
Put data to Amazon Kinesis Firehose delivery stream using Spring Boot Data Science Tech by Sunny Srinidhi - September 26, 2019February 12, 20201 If you work with streams of big data which have to be collected, transformed, and analysed, you for sure would have heard of Amazon Kinesis Firehose. It is an AWS service used to load streams of data to data lakes or analytical tools, along with compressing, transforming, or encrypting the data. You can use Firehose to load streaming data to something like S3, or RedShift. From there, you can use a SQL query engine such as Amazon Athena to query this data. You can even connect this data to your BI tool and get real time analytics of the data. This could be very useful in applications where real time analysis of data is necessary. In this post, we'll see