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VUVishal Uttam Manevisha-uttam-mane-real-time-data.hashnode.devApr 17 · 4 min read

Real-Time Data Analytics with Streaming Platforms

Real-time data analytics has become a critical capability for modern data-driven systems, enabling organizations to process and act on data as it is generated. Unlike traditional batch processing, whe

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FSFahad Shahrisingwave.comApr 8 · 16 min read

AI Agent Data Infrastructure in 2026: What Your Agents Actually Need

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FSFahad Shahrisingwave.comApr 8 · 13 min read

Best Streaming Database in 2026

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FSFahad Shahrisingwave.comApr 7 · 11 min read

Why AI Agents Need Real-Time Data (And How to Deliver It)

Introduction Your fraud detection agent flags a transaction as suspicious, but the customer already updated their shipping address ten minutes ago. Your support agent tells a customer that an item is in stock, but the last inventory sync ran at midni...

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FSFahad Shahrisingwave.comApr 7 · 13 min read

You Don't Need a Separate Vector Database

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RLRisingWave Labsrisingwave.comApr 7 · 11 min read

Feature Backfilling: How to Generate Historical Features for Model Retraining

Feature backfilling is one of the most unglamorous problems in ML engineering — and one of the most consequential. When a model underperforms, the instinct is to improve the model. But more often, the fix requires better training data. And getting be...

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RLRisingWave Labsrisingwave.comApr 7 · 12 min read

Replacing Your Feature Store: A Migration Guide for ML Teams

Feature store migrations are among the most stressful infrastructure changes an ML team can undertake. Unlike swapping out a database or a message queue, features are load-bearing. Models were trained on them. Training pipelines ingest them. Serving ...

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RLRisingWave Labsrisingwave.comApr 7 · 11 min read

The Online/Offline Feature Store Problem: How a Streaming Database Solves It

Every feature store tutorial eventually explains "offline" and "online" stores as if the distinction is natural and obvious. It is not. It is an architectural compromise that accumulated over years, and it has a specific cost: your model will silentl...

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RLRisingWave Labsrisingwave.comApr 3 · 6 min read

Ad Spend Optimization with a Streaming Database

RisingWave optimizes ad spend by maintaining continuously updated ROAS, CPA, and budget pacing metrics across all channels in real time. Instead of waiting for daily reports to reallocate budgets, marketing teams can automate spend decisions based on...

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RLRisingWave Labsrisingwave.comApr 3 · 5 min read

Customer Lifetime Value Calculation with a Streaming Database

A streaming database like RisingWave calculates Customer Lifetime Value continuously by incrementally updating CLV scores as each new purchase, churn signal, or engagement event arrives. Instead of running nightly batch jobs, marketing teams get per-...

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#streaming-database

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Trending tags this week

Real-Time Data Analytics with Streaming Platforms

AI Agent Data Infrastructure in 2026: What Your Agents Actually Need

Best Streaming Database in 2026

Why AI Agents Need Real-Time Data (And How to Deliver It)

You Don't Need a Separate Vector Database

Feature Backfilling: How to Generate Historical Features for Model Retraining

Replacing Your Feature Store: A Migration Guide for ML Teams

The Online/Offline Feature Store Problem: How a Streaming Database Solves It

Ad Spend Optimization with a Streaming Database

Customer Lifetime Value Calculation with a Streaming Database