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                            <span class="category">Technology</span>
                            <time datetime="2025-05-25">25 May 2025</time>
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                        <h3><a href="../articles/cloud-native-scraping-architecture.php">Cloud-Native Scraping Architecture for Enterprise Scale</a></h3>
                        <p>Design scalable, resilient web scraping infrastructure using modern cloud technologies and containerization.</p>
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                            <time datetime="2025-05-20">20 May 2025</time>
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                        <h3><a href="../articles/selenium-vs-playwright-comparison.php">Selenium vs Playwright: Complete Comparison Guide</a></h3>
                        <p>Comprehensive analysis of browser automation tools with performance benchmarks and use case recommendations.</p>
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                            <time datetime="2025-05-15">15 May 2025</time>
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                        <h3><a href="../articles/python-data-pipeline-tools-2025.php">Python Data Pipeline Tools: 2025 Comparison</a></h3>
                        <p>Evaluate the best Python frameworks for building robust data processing pipelines in enterprise environments.</p>
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                            <time datetime="2025-05-10">10 May 2025</time>
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                        <h3><a href="../articles/ai-powered-data-extraction.php">AI-Powered Data Extraction: Machine Learning Approaches</a></h3>
                        <p>Leverage machine learning and AI technologies to enhance data extraction accuracy and handle complex web structures.</p>
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                            <time datetime="2025-05-05">5 May 2025</time>
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                        <h3><a href="../articles/kubernetes-scraping-deployment.php">Deploying Scraping Solutions on Kubernetes</a></h3>
                        <p>Complete guide to containerizing and orchestrating web scraping applications using Kubernetes for production environments.</p>
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                            <time datetime="2025-04-30">30 April 2025</time>
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                        <h3><a href="../articles/database-optimization-big-data.php">Database Optimization for Big Data Workloads</a></h3>
                        <p>Optimize database performance for large-scale data processing with indexing strategies, partitioning, and query optimization.</p>
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