Remove Common streaming data enrichment patterns in Amazon Kinesis Data Analytics for Apache Flink
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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases.

Analytics 111
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Exploring real-time streaming for generative AI Applications

AWS Big Data

FMs are multimodal; they work with different data types such as text, video, audio, and images. Large language models (LLMs) are a type of FM and are pre-trained on vast amounts of text data and typically have application uses such as text generation, intelligent chatbots, or summarization.

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Accelerating revenue growth with real-time analytics: Poshmark’s journey

AWS Big Data

Top line revenue refers to the total value of sales of an organization’s services or products. In this post, we share how Poshmark improved CX and accelerated revenue growth by using a real-time analytics solution. Poshmark engineers worked closely with AWS architects through the AWS Data Lab program.