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Big data engineering simplified: Exploring roles of distributed systems

Data Science Dojo

The generation and accumulation of vast amounts of data have become a defining characteristic of our world. This data, often referred to as Big Data , encompasses information from various sources, including social media interactions, online transactions, sensor data, and more. databases), semi-structured data (e.g.,

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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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Real-time artificial intelligence and event processing  

IBM Journey to AI blog

How event processing fuels AI By combining event processing and AI, businesses are helping to drive a new era of highly precise, data-driven decision making. Events as fuel for AI Models: Artificial intelligence models rely on big data to refine the effectiveness of their capabilities.

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22 Widely Used Data Science and Machine Learning Tools in 2020

Analytics Vidhya

Overview There are a plethora of data science tools out there – which one should you pick up? The post 22 Widely Used Data Science and Machine Learning Tools in 2020 appeared first on Analytics Vidhya. Here’s a list of over 20.

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Comparing Tools For Data Processing Pipelines

The MLOps Blog

Listed below are some of the common types of data pipeline tools: Commercial vs open-source data pipeline tools When a business needs full control over the development process and wants to build highly customizable complex solutions, open-source tools come in handy. Relational database connectors are available.