This story was originally published on HackerNoon at: https://hackernoon.com/enterprise-data-pipeline-revolution-suresh-pallis-metadata-driven-automation-success.
Suresh Palli revolutionized enterprise data pipelines with metadata-driven automation, cutting dev time 40% and boosting scalability 5x.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #suresh-palli, #metadata-driven-automation, #enterprise-data-pipelines, #data-pipeline-automation, #metadata-governance, #enterprise-data-architecture, #scalable-data-processing, #good-company, and more.

This story was written by: @sanya_kapoor. Learn more about this writer by checking @sanya_kapoor's about page, and for more stories, please visit hackernoon.com.

Suresh Palli led a metadata-driven automation project that cut pipeline development time by 40% and scaled data processing 5x. His centralized metadata governance enabled dynamic adaptation, seamless orchestration, and cross-unit alignment. The success earned industry recognition, consulting opportunities, and set new benchmarks for enterprise data automation.

This story was originally published on HackerNoon at: https://hackernoon.com/unified-data-smarter-agentsis-your-architecture-future-proof.
A hands-on guide to architecting unified, governed and AI-ready data platforms using open table formats, semantic layers and multicloud governance.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data, #big-data-analytics, #product, #ai, #etl, #azure, #aws, #data-engineering, and more.

This story was written by: @@QueryAndConquer. Learn more about this writer by checking @@QueryAndConquer's about page, and for more stories, please visit hackernoon.com.

A hands-on guide to architecting unified, governed and AI-ready data platforms using open table formats, semantic layers and multicloud governance.

This story was originally published on HackerNoon at: https://hackernoon.com/data-driven-decisions-at-scale-ab-testing-best-practices-for-engineering-and-data-science-teams.
Ship features like scientists: randomize, measure, and learn fast.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-science, #big-data, #experimentation, #experimental-design, #product-development, #software-engineering, #machine-learning, #statistics, and more.

This story was written by: @sayantan. Learn more about this writer by checking @sayantan's about page, and for more stories, please visit hackernoon.com.

Ship features like scientists: randomize, measure, and learn fast. Good A/B tests aren’t just stats — they’re the engine driving smarter products.

This story was originally published on HackerNoon at: https://hackernoon.com/why-you-should-almost-always-choose-sync-gunicorn-over-workers-ze9c32wj.
Anyone working on a WSGI web application frameworks like Flask would know that as a best practice it is very important to use a WSGI HTTP Server like Gunicorn to deploy the app outside your development servers.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #python-programming, #gevent, #gunicorn, #python-web-development, #flask, #flask-deployment, #latest-tech-stories, #what-are-gunicorn-worker-types, and more.

This story was written by: @shamik-ray. Learn more about this writer by checking @shamik-ray's about page, and for more stories, please visit hackernoon.com.

Gunicorn is a widely popular WSGI Server and its popularity is because it is lightweight, fast, simple yet can support most of the requirements you would have to host an app on production. The default worker type is Sync and I will be arguing for it. Async workers like Gevent create new greenlets (lightweight pseudo threads) Every time a new request comes they are handled by greenlets spawned by the worker threads. At the same time, the resources needed to serve the requests will be less.

This story was originally published on HackerNoon at: https://hackernoon.com/beyond-the-ten-blue-links-how-generative-ai-rewires-our-brains-for-search.
The age of searching is ending. A deep dive into the psychology of AI search, how it centralizes truth & why becoming a trusted source is key to brand survival
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #user-behavior-analytics, #ai-integrated-search, #digital-marketing, #seo, #geo, #future-tech, #psychology, #product-management, and more.

This story was written by: @a_belova. Learn more about this writer by checking @a_belova's about page, and for more stories, please visit hackernoon.com.

Generative AI isn't just a new feature in search; it's a fundamental psychological shift. By providing direct, synthesized answers, it caters to our brain's deep-seated desire to reduce cognitive load and trust authoritative narratives. This "great untraining" is rendering the classic marketing playbook obsolete. For businesses, developers, and marketers, the battle is no longer for clicks on blue links, but for becoming a trusted, citable source inside the AI's "brain." The age of persuasion is ending; the age of becoming a machine-readable source of truth has begun.

This story was originally published on HackerNoon at: https://hackernoon.com/need-web-data-here-are-the-3-methods-everyones-using.
Discover the three best, most modern methods to access and harness web data for your projects.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #web-data, #ai, #web-scraping, #sdk, #api, #mcp, #python, #good-company, and more.

This story was written by: @brightdata. Learn more about this writer by checking @brightdata's about page, and for more stories, please visit hackernoon.com.

Need web data? APIs, SDKs, and MCP provide flexible, scalable, and automated ways to access, scrape, and integrate web data for scripts, backends, web apps, pipelines, or AI agents.

This story was originally published on HackerNoon at: https://hackernoon.com/applying-transitive-closure-to-sort-products-into-categories-considering-nesting-and-overlaps.
A guide to efficiently managing nested categories and overlapping products, ensuring fast retrieval without duplicates in e-commerce systems.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-management, #software-architecture, #product-categorization, #graph-theory, #microservices, #optimize-data-storage, #transitive-closure, #advanced-indexing, and more.

This story was written by: @egorgrushin. Learn more about this writer by checking @egorgrushin's about page, and for more stories, please visit hackernoon.com.

Handling product categorization in e-commerce can be quite the task, especially when nested categories and overlapping products make efficient retrieval without duplicates a real challenge. The method I found has a major impact on performance: setting up proper data storage, separating data for reading and modification, using relational and NoSQL databases, and applying graph theory to handle complex category nesting. The step-by-step guide shows how to sort out efficient data storage, use transitive closure for advanced indexing, build a service to maintain and update the graph, and take advantage of database indexing to avoid unnecessary sorting in RAM.

This story was originally published on HackerNoon at: https://hackernoon.com/98percent-of-data-strategies-fail-lets-fix-it.
Learn how to fix failing data strategies using the '5 W's' framework. Transform your approach to KPIs and drive real business value with actionable insights.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-strategy, #kpi-management, #business-intelligence, #data-driven-decisions, #executive-leadership, #analytics-roi, #data-roi, #data-governance, and more.

This story was written by: @liorb. Learn more about this writer by checking @liorb's about page, and for more stories, please visit hackernoon.com.

Even the most well-equipped organizations can find themselves serving up a mess instead of actionable insights. Here's a step-by-step process of fixing your data strategy, ensuring that you're serving up actionable data instead of a recipe for disaster. In the following sections, we'll dive into the common data strategy nightmares.