We’re back with episode 2 of 1 IDEA! Today, Vinay Perneti (VP of Eng @ Augment Code) shares his own Bottleneck Test
📊AWS Analytics
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Data Federation: Unifying Distributed Data for Intelligent Decision-Making
🗂️Metadata Management
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Data Observability in Analytics: Tools, Techniques, and Why It Matters
kdnuggets.com·2d
👁️Observability
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How Transformer Models Detect Anomalies in System Logs
hackernoon.com·3d
🏺Data Archaeology
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Beyond the Browser: Crafting a Robust Web Scraping Pipeline for Dynamic Sports Data
⚡DataFusion
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Deep Learning Approach to Anomaly Detection in Enterprise ETL Processes with Autoencoders
arxiv.org·2d
🏗data engineering
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[Tool] RE-Architect: Automated binary analysis with multiple decompilers + AI explanations
📋Tokei
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Real-time stock volatility prediction with deep learning on a time-series DB
⏱️Real-time Analytics
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Disassembling Terabytes of Random Data with Zig and Capstone to Prove a Point
🧠Memory Management
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Integration Digest for October 2025
🌊Stream Processing
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Training: Postgres Performance and Maintenance
💾Databases
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Building a Multimodal RAG That Responds with Text, Images, and Tables from Sources
towardsdatascience.com·3d
🔄Feed Aggregation
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Detailed Technical Documentation on AI Implementation Logic (Taking Large Language Models as an Example )
⚙️Query Compilers
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From Mapping Files to Data Plumbing
🔧Data Engineering
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