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Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time

AWS Machine Learning Blog

Streaming ingestion – An Amazon Kinesis Data Analytics for Apache Flink application backed by Apache Kafka topics in Amazon Managed Streaming for Apache Kafka (MSK) (Amazon MSK) calculates aggregated features from a transaction stream, and an AWS Lambda function updates the online feature store.

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A Comprehensive Guide to the main components of Big Data

Pickl AI

Variety Variety indicates the different types of data being generated. This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Velocity Velocity pertains to the speed at which data is generated and processed.

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A Comprehensive Guide to the Main Components of Big Data

Pickl AI

Variety Variety indicates the different types of data being generated. This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Velocity Velocity pertains to the speed at which data is generated and processed.

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Predicting the Future of Data Science

Pickl AI

This explosive growth is driven by the increasing volume of data generated daily, with estimates suggesting that by 2025, there will be around 181 zettabytes of data created globally. Real-Time Data Processing The demand for real-time analytics is growing as businesses seek immediate insights to drive decision-making.

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Top Big Data Tools Every Data Professional Should Know

Pickl AI

Summary: Big Data tools empower organizations to analyze vast datasets, leading to improved decision-making and operational efficiency. Ultimately, leveraging Big Data analytics provides a competitive advantage and drives innovation across various industries.