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How are you handling the data revolution? We want your take on what's real, what's hype, and what's next in the world of data engineering.

Generative AI has transformed nearly every industry. How can you leverage GenAI to improve your productivity and efficiency?

SBOMs are essential to circumventing software supply chain attacks, and they provide visibility into various software components.

Latest Articles - DZone

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Breaking Free from ZooKeeper: Why Kafka’s KRaft Mode Matters
Kafka shifts from ZooKeeper to KRaft mode for better scalability, faster recovery, and lower complexity, using Raft-based quorum for metadata management.
July 9, 2025
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· 81 Views
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Exploring Data Redaction Enhancements in Oracle Database 23ai
Oracle Database 23ai enhances data redaction with broader SQL support, allowing safe use of redacted columns in views, GROUP BY, and set operations.
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Run Scalable Python Workloads With Modal
Discover how Modal enables developers to run scalable Python-based AI and data workloads in the cloud, without managing servers, containers, or GPUs directly.
July 9, 2025
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Advanced Insight Generation: Revolutionizing Data Ingestion for AI-Powered Search
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Testing Java Applications With WireMock and Spring Boot
In this article, we will explore the use of WireMock for mocking external system behavior in unit integration tests for Spring Boot applications.
July 9, 2025
by Gunter Rotsaert DZone Core CORE
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The AWS Playbook for Building Future-Ready Data Systems
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July 9, 2025
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The Agile Paradox
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The Battle of the Frameworks: Choosing the Right Tech Stack
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July 9, 2025
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Continuous Quality Engineering: The Convergence of CI/CD, Chaos Testing, and AI-Powered Test Orchestration
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July 9, 2025
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The Rise of the Intelligent AI Agent: Revolutionizing Database Management With Agentic DBA
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July 8, 2025
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Micro Frontends to Microservices: Orchestrating a Truly End-to-End Architecture
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· 575 Views · 1 Like
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10 Predictions Shaping the Future of Web Data Extraction Services
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July 8, 2025
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Understanding N-Gram Language Models and Perplexity
This guide explains how N-gram language models work, how they estimate probabilities, handle unknown words, and evaluate performance using perplexity and other methods.
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Evaluating Accuracy in RAG Applications: A Guide to Automated Evaluation
RAG improves GenAI accuracy with external context retrieval; key metrics and automated checks ensure high-quality, reliable results.
July 8, 2025
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· 356 Views
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How to Embed SAP Analytics Cloud (SAC) Stories Into Fiori Launchpad for Real-Time Insights
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July 8, 2025
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· 394 Views
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Advancing DSLs in the Age of GenAI
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Zero-Trace Paradigm: Emerging Technologies in Personal Data Anonymization
Get the lowdown on the advantages and downsides of emerging data anonymization mechanisms that lay the groundwork for the zero-trace paradigm.
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