This article explores the importance of real-time data streaming for AI models, emphasizing how it enables instant decision-making in applications like self-driving cars and fraud detection. The author, Gautam...
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This article explains how Apache Phoenix, a relational database built on HBase, has implemented Change Data Capture (CDC) to enable real-time tracking of row-level modifications. The CDC feature allows...
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This article explains how implementing a write-through cache can improve performance and data consistency in real-time data processing systems. The author, Rohith Narasimhamurthy, shares insights on using this caching...
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Digital twins are undergoing a transformation thanks to AI, which is helping overcome past integration challenges and delivering real-world business value. This article by Tom Smith explores how AI...
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A developer faced an issue where their ML model misclassified groceries as entertainment expenses. By implementing distributed tracing using OpenTelemetry and Jaeger, they were able to quickly identify a...
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This article explores the differences between Amazon EMRFS and HDFS, two storage options for big data processing on Amazon EMR. It explains how each system works, their strengths, and...
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This article explores the migration of Pandas workflows to Snowpark Pandas API, emphasizing a lift-and-shift approach for scalable data processing. Prasath Chetty Pandurangan, the author, details how developers can...
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