AWS Big Data

JANUARY 8, 2024

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.

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Analytics IoT Data-driven Snapshot 134

AWS Big Data

MARCH 25, 2024

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.

Data Lake 121

Data Lake Unstructured Data Management Snapshot 121

AWS Big Data

NOVEMBER 15, 2023

Stream data processing allows you to act on data in real time. Real-time data analytics can help you have on-time and optimized responses while improving the overall customer experience. Pre-loading of reference data provides low latency and high throughput.

Testing 111

Testing Optimization Management Metadata 111

AWS Big Data

JUNE 29, 2023

Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data in real time. We also show how to use Kinesis Data Analytics Studio to test and tune your analysis before deploying your migrated applications.

Data Analytics 104

Data Analytics Analytics IoT Data Lake 104

AWS Big Data

JULY 28, 2023

Apache Flink and Apache Spark are both open-source, distributed data processing frameworks used widely for big data processing and analytics. Spark is known for its ease of use, high-level APIs, and the ability to process large amounts of data.

Data Processing 98

Data Processing Big Data Data Quality Analytics 98

AWS Big Data

NOVEMBER 15, 2023

Stream data processing allows you to act on data in real time. Real-time data analytics can help you have on-time and optimized responses while improving the overall customer experience. Pre-loading of reference data provides low latency and high throughput.

Testing 52

Testing Optimization Management Metadata 52

AWS Big Data

MARCH 20, 2023

In this post, we share how Poshmark improved CX and accelerated revenue growth by using a real-time analytics solution. High-level challenge: The need for real-time analytics Previous efforts at Poshmark for improving CX through analytics were based on batch processing of analytics data and using it on a daily basis to improve CX.

Analytics 52

Analytics Data Processing Slice and Dice Data Lake 52