![]() ![]() This article will explain real-time data in a little more detail, including expanding its use cases. You can build applications that convert and deliver insights into your data using normal SQL queries on streaming data. You can use Amazon Kinesis Data Analytics to easily write SQL code that reads, analyzes, and saves data in near real time. This type of data and analysis are particularly useful when businesses need to respond swiftly to changing dynamics.įraud detection, advertising and marketing campaigns, and fine-tuning application features are just some examples of when this type of data is relevant. ![]() Real-time data is largely used to support real-time analytics, which is the process of transforming raw data into insights as soon as it’s collected. ![]()
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January 2023
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