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ADAnkita Duttadatatech-insights.hashnode.devJan 30 · 1 min read

From Static Digital Twins to Live Intelligence

Digital twins promised better decision-making, yet many still function as static models - accurate, but detached from daily operations. Live intelligence systems close that gap by connecting real-time data, analytics, and workflows. In manufacturi...

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SShashaankarsystemsnsentience.hashnode.devDec 18, 2025 · 2 min read

SPADE: The System S Declarative Stream Processing Engine

Buğra Gedik, Henrique Andrade, Kun-Lung Wu, Philip S. Yu, and MyungCheol Doo.SPADE: The System S Declarative Stream Processing Engine. International Conference on Management of Data, ACM SIGMOD, 2008. Summary The paper presents SPADE, a declarative s...

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TATanvi Ausareblog.zata.aiNov 27, 2025 · 4 min read

How Hybrid Cloud Storage Fuels Real-Time Analytics and AI Training

TL;DR Hybrid cloud storage seamlessly combines on-premises and cloud resources for maximum flexibility and performance in AI workflows. Real-time analytics require scalable and low-latency storage solutions that hybrid cloud architecture effectivel...

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SYShivani Yadavshivaniyadav.hashnode.devSep 13, 2025 · 4 min read

SQL for Feature Engineering in ML Pipelines

Introduction As an AI/ML engineer, one of the most critical steps in building predictive models is feature engineering—transforming raw data into meaningful features that drive model performance. While Python and Pandas are often the go-to tools for ...

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CZCondense Zeliotcondense.hashnode.devMay 22, 2025 · 6 min read

Streaming ETL with Condense: A Faster, Smarter Alternative to Batch Processing

Introduction From Batch ETL to Real-Time Streaming — and Why Kafka Changed Everything For decades, enterprises relied on batch-oriented ETL (Extract, Transform, Load) processes to move and prepare data for analysis. Batch ETL was designed in an era w...

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TATanvi Ausareblog.zata.aiApr 15, 2025 · 4 min read

Enhancing Smart City Analytics with Cloud Object Storage Solutions

Smart cities represent the future of urban living, integrating advanced technologies like IoT, AI, and big data analytics to optimize infrastructure, reduce costs, and improve citizen experiences. At the core of this transformation lies the need for ...

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AKAditya Khadangaadityakhadanga.hashnode.devApr 14, 2025 · 3 min read

Optimize Game Telemetry with AWS's Real-Time Data Analytics

In today’s gaming industry, data is everything. Whether you're tracking in-game events, player behavior, or system performance, the ability to ingest, process, and visualize data in real time is critical. In this blog, we’ll walk through a real-time ...

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SBSoham Banerjeefreecodecamp.orgMar 14, 2025 · 20 min read

How to Connect, Read, and Process Sensor Data on Microcontrollers – A Beginner's Guide

In today’s world, computers are ubiquitous and generally serve two primary purposes. The first is general-purpose computing, where they handle a wide range of tasks, including running diverse applications and programs. Examples include laptops, deskt...

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#real-time-data-processing

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#real-time-data-processing

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Trending tags this week

From Static Digital Twins to Live Intelligence

SPADE: The System S Declarative Stream Processing Engine

How Hybrid Cloud Storage Fuels Real-Time Analytics and AI Training

SQL for Feature Engineering in ML Pipelines

Streaming ETL with Condense: A Faster, Smarter Alternative to Batch Processing

Enhancing Smart City Analytics with Cloud Object Storage Solutions

Optimize Game Telemetry with AWS's Real-Time Data Analytics

How to Connect, Read, and Process Sensor Data on Microcontrollers – A Beginner's Guide