Data Science & Analytics
Data analysis, statistics, business intelligence, data engineering, and applied analytics for decision-making.
15 articles • 15 experts • 128 tags
Recent Articles
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Real-Time Data Processing: The 2026 Dataflow Guide
Devesh Balaji Bilapate • May 11, 2026
Master real-time data processing with Google Cloud Dataflow. Learn how exactly-once delivery and auto-scaling workers drive performance in 2026 pipelines.
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AI-Powered Mobile Testing and Regression Testing Using Playwright and Claude Code
Debashis Dash • May 11, 2026
Modern software testing is rapidly evolving with the integration of Artificial Intelligence (AI) and automation tools. Technologies like Playwright and Claude Code are transforming mobile testing, manual testing, and regression testing processes.
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AI in Data Engineering: 2026 Impact and Challenges
Nisamudheen M • May 11, 2026
AI will require 80% of data engineers to upskill by 2027. Discover where AI outperforms manual cleaning and the structural barriers facing automated pipelines.
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How AI Is Transforming Data Engineering in 2026
Abdul Nazar • May 11, 2026
By 2026, 80% of data quality tools will use AI. Discover how autonomous pipelines, GenAI, and agentic ETL are reshaping the role of the modern data engineer.
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Privacy Concerns in AI Systems
Kuldeep Goha • May 11, 2026
AI improves modern technology using large amounts of data, but it also creates privacy concerns. Protecting personal information and ensuring responsible AI usage are essential for user security and trust.
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Deduplication in Data Engineering: Scalable Solutions
Sudhapriyadharshini Ravi • May 11, 2026
Duplicate data costs $12.9M annually. Master the strategies to scale deduplication across millions of records using SQL, LSH, and survivorship logic.
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Resolving Systemic Data Issues from the Digest Report
Surya Kumar J • May 11, 2026
The Weekly Digest is 2026's essential map for data health. Learn how we identify systemic patterns and resolve recurring platform issues step by step.
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From Weeks to Minutes: Leveraging LLMs for Automated Data Cleaning
Uday Chowdary • May 8, 2026
By leveraging LLMs, businesses can significantly reduce the time required for data preparation—from weeks to just minutes. This improves productivity, reduces operational costs, and allows data teams to focus more on analytics and decision-making rather than repetitive cleaning tasks.
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Architecting AI-Native Data Systems in 2026
Athira Krishnan • May 8, 2026
Data engineering is the 2026 bottleneck for AI. Learn how to bridge the visibility-understanding gap with AI-native architecture and real-time observability.
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Understanding Big Data, Apache Airflow, and Core Data Engineering Concepts
Manigandan Velmurugan • May 8, 2026
This article explains the fundamentals of Big Data, Apache Airflow, and important Data Engineering concepts that are widely used in modern data platforms.