AWS Big Data Blog

Allan MacInnis

Author: Allan MacInnis

Preprocessing Data in Amazon Kinesis Analytics with AWS Lambda

Kinesis Analytics now gives you the option to preprocess your data with AWS Lambda. This gives you a great deal of flexibility in defining what data gets analyzed by your Kinesis Analytics application. In this post, I discuss some common use cases for preprocessing, and walk you through an example to help highlight its applicability.

Test Your Streaming Data Solution with the New Amazon Kinesis Data Generator

October 2024: This post was reviewed and updated for accuracy. When building a streaming data solution, most customers want to test it with data that is similar to their production data. Creating this data and streaming it to your solution can often be the most tedious task in testing the solution. Amazon Kinesis Data Streams […]

Scale Your Amazon Kinesis Stream Capacity with UpdateShardCount

Allan MacInnis is a Kinesis Solution Architect for Amazon Web Services Starting today, you can easily scale your Amazon Kinesis streams to respond in real time to changes in your streaming data needs. Customers use Amazon Kinesis to capture, store, and analyze terabytes of data per hour from clickstreams, financial transactions, social media feeds, and […]