Tuples and Records (Part 4): Optimize React and Prevent Re-Renders
This article explores how to effectively test and update tuples and records in JavaScript using Jest, focusing on immutability and value-based comparisons. It covers best practices such as custom...
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From HTTP to Kafka: A Custom Source Connector
This article by Ion Pascari provides a comprehensive guide on how to create a custom HTTP source connector for Apache Kafka using Kafka Connect. It covers the key components...
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Tuples and Records (Part 3): Potential ECMAScript Proposals
This article explores the potential of tuples and records in JavaScript, focusing on their benefits, implementation, and best practices. It highlights how these features can improve immutability, performance, and...
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Tuples and Records (Part 2): JavaScript Migration Guide
This article provides a step-by-step guide on migrating JavaScript codebases to use Tuples and Records, which are immutable data structures. The guide covers migration strategies, compatibility tips, and performance...
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Making String Search Easier Across Databases
The article discusses the challenges of string searching in databases where users often remember only parts of the information. It highlights how operations like contains, starts with, and ends...
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Change Data Capture for Apache Phoenix Stream
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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Implementing Write-Through Cache for Real-Time Data Processing: A Scalable Approach
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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Tuples and Records (Part 1): What They Mean for JavaScript Performance and Predictability
The article explores the upcoming features of JavaScript, specifically Tuples and Records, which are designed to provide immutable data structures. These features aim to improve predictability, performance, and maintainability...
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