98% of Data Strategies Fail: Let's Fix It

Data Science Tech Brief By HackerNoon

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Zoey Deutch (Nouvelle Vague) 37:44

לפני 11 ימים37:44

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Zoey Deutch returns to Skip Intro to talk about her latest transformation in Nouvelle Vague as American actress Jean Seberg. Directed by acclaimed filmmaker Richard Linklater — and a love letter to the French New Wave classic Breathless — Nouvelle Vague wasn’t the first time that Linklater and Deutch shared a film set. Deutch shares how Linklater compares rehearsals to athletics, starting exciting new chapters in her personal life, hilarious irrational fears, and the deep love she has for her sister, Maddie. Video episodes are also available on the Still Watching Netflix YouTube Channel. Listen to more from Netflix Podcasts .…

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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.

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Data Science Tech Brief By HackerNoon

98% of Data Strategies Fail: Let's Fix It

Data Science Tech Brief By HackerNoon

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Data Platform as a Service: A Three-Pillar Model for Scaling Enterprise Data Systems 4:22

לפני 5 ימים4:22

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This story was originally published on HackerNoon at: https://hackernoon.com/data-platform-as-a-service-a-three-pillar-model-for-scaling-enterprise-data-systems . DPaaS solves the enterprise data scalability paradox with declarative policies, multi-plane architecture, and continuous reconciliation. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-management , #platform-engineering , #data-platform-scalability , #data-integration , #dpaas , #multi-plane-architecture , #data-infrastructure , #data-engineering , and more. This story was written by: @anilkumarkandalam . Learn more about this writer by checking @anilkumarkandalam's about page, and for more stories, please visit hackernoon.com . Enterprise data platforms hit scaling limits because centralized teams can't grow fast enough to handle organizational complexity. Data Platform as a Service (DPaaS) solves this through declarative policies, multi-plane architecture, and continuous reconciliation. Enabling self service autonomy that delivers significant operational overhead reduction and faster development without proportional engineering headcount growth.…

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How RAG Improves Database Management 12:04

לפני 5 ימים12:04

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This story was originally published on HackerNoon at: https://hackernoon.com/how-rag-improves-database-management . RAG is transforming database management with accurate retrieval, real-time insights, and natural language querying to help teams manage and understand data inte Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-management , #rag , #ai , #databases , #what-is-rag , #rag-in-data-management , #key-components-of-rag , #how-to-implement-rag , and more. This story was written by: @victorhorlenko . Learn more about this writer by checking @victorhorlenko's about page, and for more stories, please visit hackernoon.com . RAG transforms database management by combining intelligent retrieval with LLMs to deliver accurate, real-time, natural-language insights across structured and unstructured data. It enhances accuracy, speeds decision-making, reduces manual querying, and sets the stage for conversational, AI-driven data systems.…

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How To Power AI, Analytics, and Microservices Using the Same Data 8:51

לפני 6 ימים8:51

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This story was originally published on HackerNoon at: https://hackernoon.com/how-to-power-ai-analytics-and-microservices-using-the-same-data . Adam Bellemare explains how data streaming unifies AI, analytics, and microservices—solving data access challenges through real-time, scalable pipelines. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-streaming-architecture , #confluent , #adam-bellemare , #event-driven-microservices , #generative-ai-data-pipelines , #apache-kafka , #real-time-analytics , #good-company , and more. This story was written by: @confluent . Learn more about this writer by checking @confluent's about page, and for more stories, please visit hackernoon.com . Adam Bellemare, Principal Technologist at Confluent, explores how data streaming solves long-standing data access issues for AI, analytics, and microservices. By decoupling producers from consumers and enabling real-time, low-latency data flow, streaming creates a unified data layer that powers GenAI, RAG, and event-driven systems across organizations.…

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From Data Fragmentation to Billion-Dollar Insights: The Vision of Manish Ravindra Sharath 7:19

לפני 26 ימים7:19

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This story was originally published on HackerNoon at: https://hackernoon.com/from-data-fragmentation-to-billion-dollar-insights-the-vision-of-manish-ravindra-sharath . Manish Ravindra Sharath unified fragmented enterprise data using PySpark & cloud-native systems,boosting efficiency 99% and driving multimillion-dollar growth. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #enterprise-data-engineering , #manish-ravindra-sharath , #pyspark-data-pipeline , #cloud-data-architecture , #data-modernization-strategy , #hybrid-data-infrastructure , #enterprise-analytics , #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 . Manish Ravindra Sharath transformed enterprise decision-making by architecting a unified PySpark-powered data pipeline that cut reporting time from 30+ hours to 30 minutes. His system achieved 99% efficiency, 40% cost reduction, and 30% faster deal closures—turning fragmented data into billion-dollar insights driving global business performance.…

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Building a Layered Defense Against Web Scraping 8:43

לפני 26 ימים8:43

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This story was originally published on HackerNoon at: https://hackernoon.com/building-a-layered-defense-against-web-scraping . Discover how a three-layer data-protection model blends AI, risk-based gating, and legal context to stop web scraping while preserving user trust. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #web-scraping , #data-protection , #ai-security , #product-strategy , #web-scraping-protection , #bot-mitigation , #risk-based-gating , #data-security-strategy , and more. This story was written by: @areejit1 . Learn more about this writer by checking @areejit1's about page, and for more stories, please visit hackernoon.com . The web-scraping industry is no longer niche. Valued at USD 1.03 billion in 2025, it is projected to nearly double by 2030. Traditional defenses rate limiting, CAPTCHAs, IP bans are brittle against modern toolkits. A layered defense acknowledges this tension.…

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Cosmo: The Graph Visualization Tool Built for Your Terminal 2:56

לפני 5 weeks2:56

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This story was originally published on HackerNoon at: https://hackernoon.com/cosmo-the-graph-visualization-tool-built-for-your-terminal . Cosmo is a terminal-based interactive graph visualizer that automatically layouts and displays complex data structures for quick exploration. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #visualization , #terminal , #cli , #graphs , #tui , #cosmo , #complex-data-structures , #gui-visualizer , and more. This story was written by: @hacker227143 . Learn more about this writer by checking @hacker227143's about page, and for more stories, please visit hackernoon.com . Cosmo is a fast, interactive graph visualizer that makes graphs and trees easy to understand, beautifully arranged, and fully explorable without ever leaving your command line. Pass your data structures directly from code or file and see them come to life.…

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How Businesses Are Turning Space Data into a Tool for Risk, Resilience, and Sustainability 6:06

לפני 6 weeks6:06

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This story was originally published on HackerNoon at: https://hackernoon.com/how-businesses-are-turning-space-data-into-a-tool-for-risk-resilience-and-sustainability . Satellites are reshaping insurance, supply chains, and sustainability—here’s how space data became core to global business strategy. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #business-intelligence , #space-economy , #satellite-data , #sustainability-reporting , #supply-chain-analytics , #geospatial-intelligence , #space-technology , #earth-observation , and more. This story was written by: @150sec . Learn more about this writer by checking @150sec's about page, and for more stories, please visit hackernoon.com . The global space economy is evolving from exploration to infrastructure. Businesses across insurance, sustainability, and supply chains now rely on satellite data for real-time insights that help manage risk, track biodiversity, forecast disruptions, and meet new reporting standards. As costs drop and access expands, space data has become an essential layer of corporate intelligence—turning orbit into opportunity.…

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How Data Innovation Changed a State’s Infrastructure Engine 7:44

לפני 7 weeks7:44

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This story was originally published on HackerNoon at: https://hackernoon.com/how-data-innovation-changed-a-states-infrastructure-engine . Deepak Chanda modernized Massachusetts’ infrastructure systems through data-driven process innovation—turning inefficiency into lasting operational reform. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-innovation-in-government , #infrastructure-analytics , #data-transformation , #process-automation , #massachusetts-transportation , #sql-data-pipeline-optimization , #real-time-anomaly-detection , #good-company , and more. This story was written by: @jonstojanjournalist . Learn more about this writer by checking @jonstojanjournalist's about page, and for more stories, please visit hackernoon.com . Amid bureaucratic stagnation in Massachusetts’ public works, Senior Data Analyst Deepak Chanda led a quiet revolution. By digitizing blueprint reviews and adding a simple SQL field to track project sign-offs, he cut delays and saved taxpayer dollars. His philosophy—good data should shape the world, not just describe it—continues to drive progress across healthcare and insurance.…

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How to Optimize Your Marketing Budget Using Just Three Letters: MMM 7:26

לפני 9 weeks7:26

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This story was originally published on HackerNoon at: https://hackernoon.com/how-to-optimize-your-marketing-budget-using-just-three-letters-mmm . Marketing Mix Modeling is a statistical analysis method used in marketing to determine the optimal allocation of resources. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-science , #marketing-analytics , #machine-learning , #marketing , #marketing-budget , #marketing-mix-modeling , #media-mix-modelling , #adstock-and-saturation , and more. This story was written by: @radiokocmoc_l45iej08 . Learn more about this writer by checking @radiokocmoc_l45iej08's about page, and for more stories, please visit hackernoon.com . Marketing Mix Modeling is a statistical analysis method used in marketing to determine the optimal allocation of resources. The goal of media mix modelling is to understand the impact of different marketing channels on the overall campaign effectiveness. Join me to discover how to optimise the marketing budget by implementing Robyn MMM.…

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Here's How ShareChat Scaled Their ML Feature Store 1000X Without Scaling the Database 12:42

לפני 9 weeks12:42

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This story was originally published on HackerNoon at: https://hackernoon.com/heres-how-sharechat-scaled-their-ml-feature-store-1000x-without-scaling-the-database . How ShareChat scaled its ML feature store to 1B features/sec on ScyllaDB, achieving 1000X performance without scaling the database. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #sharechat-ml-feature-store , #scylladb-scaling-case-study , #ml-feature-store-optimization , #sharechat-moj , #low-latency-ml-infrastructure , #scylladb-database-optimization , #p99-conf-sharechat-talk , #good-company , and more. This story was written by: @scylladb . Learn more about this writer by checking @scylladb's about page, and for more stories, please visit hackernoon.com . ShareChat scaled its ML feature store from failure at 1M features/sec to 1B features/sec using ScyllaDB optimizations, caching hacks, and relentless tuning. By rethinking schemas, tiling, and caching strategies, engineers avoided scaling the database, cut latency, and boosted cache hit rates—proving performance engineering beats brute-force scaling.…

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Why You Shouldn’t Judge by PnL Alone 13:23

לפני 9 weeks13:23

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This story was originally published on HackerNoon at: https://hackernoon.com/why-you-shouldnt-judge-by-pnl-alone . PnL can lie. This hands-on guide shows traders how hypothesis testing separate luck from edge, with a Python example and tips on how not to fool yourself. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #quantitative-research , #trading , #algorithmic-trading , #pnl , #udge-pnl , #profit-and-loss , #judge-profit-and-loss , #hackernoon-top-story , and more. This story was written by: @ruslan4ezzz . Learn more about this writer by checking @ruslan4ezzz's about page, and for more stories, please visit hackernoon.com . I’ve spent years building and evaluating systematic strategies across highly adversarial markets. When you iterate on a trading system, PnL is the goal but a terrible day-to-day signal. It’s too noisy, too path-dependent, and too easy to cherry-pick. A simple framework—form a hypothesis, measure a test statistic, translate it into a probability under a “no-effect” world (the p-value)—helps you avoid false wins, iterate faster, and ship changes that actually stick. Below I’ll show a concrete example where two strategies look very different in cumulative PnL charts, yet standard tests say there’s no meaningful difference in their average per-trade outcome. I’ll also demystify the t-test in plain language: difference of means, scaled by uncertainty.…

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From "Decentralized" to "Unified": SUPCON Uses SeaTunnel to Build an Efficient Data Collection Frame 16:17

לפני 9 weeks16:17

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This story was originally published on HackerNoon at: https://hackernoon.com/from-decentralized-to-unified-supcon-uses-seatunnel-to-build-an-efficient-data-collection-frame . SUPCON dumped siloed data tools for Apache SeaTunnel—now core sync tasks run 0-failure! Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #bigdata , #apacheseatunnel , #supcon , #data-sync , #high-availability , #data-engineering , #cdc , #hackernoon-top-story , and more. This story was written by: @williamguo . Learn more about this writer by checking @williamguo's about page, and for more stories, please visit hackernoon.com . 99% lower failures, 100% consistency, 70% less O&M cost. Big thanks to @ApacheSeaTunnel!…

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Enterprise Data Pipeline Revolution: Suresh Palli's Metadata-Driven Automation Success 7:50

לפני 10 weeks7:50

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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.…

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Unified Data, Smarter Agents—Is Your Architecture Future-Proof? 7:51

לפני 10 weeks7:51

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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.…

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Data-Driven Decisions at Scale: A/B Testing Best Practices for Engineering & Data Science Teams 5:59

לפני 10 weeks5:59

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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.…

Data Science Tech Brief By HackerNoon

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Why You Should (Almost) Always Choose Sync Gunicorn Workers 6:09

לפני 10 weeks6:09

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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.…

Data Science Tech Brief By HackerNoon

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Beyond the Ten Blue Links: How Generative AI Rewires Our Brains for Search 7:26

לפני 10 weeks7:26

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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.…

Data Science Tech Brief By HackerNoon

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Need Web Data? Here Are the 3 Methods Everyone’s Using 10:09

לפני 10 weeks10:09

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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.…

Data Science Tech Brief By HackerNoon

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Applying Transitive Closure to Sort Products Into Categories, Considering Nesting and Overlaps 15:50

לפני 10 weeks15:50

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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.…

Data Science Tech Brief By HackerNoon

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98% of Data Strategies Fail: Let's Fix It 11:24

לפני 1 year11:24

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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.…

Data Science Tech Brief By HackerNoon

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How To Measure The Results Of In-App Events When Onelinks Don’t Work 5:59

לפני 1 year5:59

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This story was originally published on HackerNoon at: https://hackernoon.com/how-to-measure-the-results-of-in-app-events-when-onelinks-dont-work . How To Measure The Results Of In-App Events When Onelinks Don’t Work Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #analytics , #onelink , #inapp-events , #marketing , #app-store , #mobile-apps , #digital-marketing , #good-company , and more. This story was written by: @socialdiscoverygroup . Learn more about this writer by checking @socialdiscoverygroup's about page, and for more stories, please visit hackernoon.com . Many app developers and marketing managers face the challenge of accurately measuring the impact of In-App Events (IAEs) on the App Store. While IAEs have proven effective for re-engaging users, attracting new downloads, and increasing revenue, traditional tracking methods like OneLink don’t actually include IAEs. Major mobile attribution platforms confirm that currently there is no way to track IAEs properly. At Social Discovery Group, our portfolio of 60+ dating and entertainment brands is supported by a team of over 100 marketers dedicated to app growth and development. We’re used to measuring all our marketing efforts in terms of financial value. Eventually, we’ve managed to develop our own composite way to evaluate IAEs, and are going to share it with you.…

Data Science Tech Brief By HackerNoon

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How AI-Powered Data Mapping is Democratizing Data Management 8:10

לפני 1 year8:10

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This story was originally published on HackerNoon at: https://hackernoon.com/how-ai-powered-data-mapping-is-democratizing-data-management . Learn how AI-powered data mapping is transforming data management, making it more accessible and efficient for everyone. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-mapping , #data-management , #big-data , #ai-powered , #ai-powered-data-management , #democratizing-data-management , #data-science , #ai-powered-data-mapping , and more. This story was written by: @kristenburke . Learn more about this writer by checking @kristenburke's about page, and for more stories, please visit hackernoon.com . AI is revolutionizing data mapping by automating and simplifying the process, making data management more efficient and accessible for businesses and non-technical users alike.…

Data Science Tech Brief By HackerNoon

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Data Engineering: What’s the Value of API Security in the Generative AI Era? 5:47

לפני 1 year5:47

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This story was originally published on HackerNoon at: https://hackernoon.com/data-engineering-whats-the-value-of-api-security-in-the-generative-ai-era . Discover the importance of API security in the age of Generative AI. Learn how robust API protection ensures data integrity. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-engineering , #generative-ai , #ai-regulation , #api-security , #data-security , #data-privacy , #threat-detection , #cybersecurity-best-practices , and more. This story was written by: @karthikrajashekaran . Learn more about this writer by checking @karthikrajashekaran's about page, and for more stories, please visit hackernoon.com . API security is crucial in the era of Generative AI, ensuring data integrity, protecting user privacy, and enabling secure and efficient AI integration. Robust API protection helps prevent unauthorized access, data breaches, and potential misuse of AI capabilities.…

Data Science Tech Brief By HackerNoon

1
Say Goodbye to Outdated Diagrams: Automate Your Infrastructure Visualization 7:15

לפני 1 year7:15

7:15

This story was originally published on HackerNoon at: https://hackernoon.com/say-goodbye-to-outdated-diagrams-automate-your-infrastructure-visualization . Automate your infrastructure diagrams. Guide helps you maintain fresh, accurate visuals with minimal effort, perfect for managing Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #visualization , #cloud-infrastructure , #terraform , #diagram , #infrastructure-as-code , #cloud , #aws , #infrastructure-visualization , and more. This story was written by: @vladimirf . Learn more about this writer by checking @vladimirf's about page, and for more stories, please visit hackernoon.com . Tired of making awesome infrastructure diagrams that become outdated as soon as you save them? Yeah, me too. Luckily, there are tools out there to help.…

Data Science Tech Brief By HackerNoon

1
Why C-Suite Executives Won’t Cut it Without Data Skills Anymore 6:45

לפני 1 year6:45

6:45

This story was originally published on HackerNoon at: https://hackernoon.com/why-c-suite-executives-wont-cut-it-without-data-skills-anymore . Modern executives must master data skills to navigate data privacy, cybersecurity, and strategic decisions. Learn why C-suite leaders can't afford to lag behind Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-literacy , #thought-leadership , #leadership-skills , #data-skills , #data-governance , #data-visualization-tools , #cybersecurity-executives , #hackernoon-top-story , and more. This story was written by: @znenad079 . Learn more about this writer by checking @znenad079's about page, and for more stories, please visit hackernoon.com . Every industry generates massive amounts of data, which is now being used for better decision-making. One of today’s most pressing challenges for executives is data privacy concerns and cybersecurity. Modern executives must have data skills to understand the flow of valuable data in their company and know how to make it work for them.…

Data Science Tech Brief By HackerNoon

1
Meet New & Improved BigQuery: Single, Unified AI-Ready Data Platform 10:20

לפני 1 year10:20

10:20

This story was originally published on HackerNoon at: https://hackernoon.com/meet-new-and-improved-bigquery-single-unified-ai-ready-data-platform . Google has gone a step further and unified key data Google Cloud analytics capabilities under BigQuery - now the single, AI-ready data analytics platform. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-analytics , #google-bigquery , #bigquery-and-google-cloud , #ai-integration , #big-query-and-gemini , #good-company , #hackernoon-top-story , #real-time-data-analytics , and more. This story was written by: @googlecloud . Learn more about this writer by checking @googlecloud's about page, and for more stories, please visit hackernoon.com . We’ve gone a step further and unified key data Google Cloud analytics capabilities under BigQuery, which is now the single, AI-ready data analytics platform. BigQuery incorporates key capabilities from multiple Google Cloud analytics services into a single product experience that offers the simplicity and scale you need to manage structured data in BigQuery tables, unstructured data like images, audience and documents, and streaming workloads, all with the best price-performance.…

Data Science Tech Brief By HackerNoon

1
Decoding Transformers' Superiority over RNNs in NLP Tasks 9:38

לפני 1 year9:38

9:38

This story was originally published on HackerNoon at: https://hackernoon.com/decoding-transformers-superiority-over-rnns-in-nlp-tasks . Explore the intriguing journey from Recurrent Neural Networks (RNNs) to Transformers in the world of Natural Language Processing in our latest piece: 'The Trans Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #nlp , #transformers , #llms , #natural-language-processing , #large-language-models , #rnn , #machine-learning , #neural-networks , and more. This story was written by: @artemborin . Learn more about this writer by checking @artemborin's about page, and for more stories, please visit hackernoon.com . Despite Recurrent Neural Networks (RNNs) designed to mirror certain aspects of human cognition, they've been surpassed by Transformers in Natural Language Processing tasks. The primary reasons include RNNs' issues with the vanishing gradient problem, difficulty in capturing long-range dependencies, and training inefficiencies. The hypothesis that larger RNNs could mitigate these issues falls short in practice due to computational inefficiencies and memory constraints. On the other hand, Transformers leverage their parallel processing ability and self-attention mechanism to efficiently handle sequences and train larger models. Thus, the evolution of AI architectures is driven not only by biological plausibility but also by practical considerations such as computational efficiency and scalability.…

Data Science Tech Brief By HackerNoon

1
How to Enable Auto-Start for Apache DolphinScheduler 4:18

לפני 1 year4:18

4:18

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-enable-auto-start-for-apache-dolphinscheduler . To set DolphinScheduler to start automatically upon system boot, you typically need to configure it as a system service. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #bigdata , #data-science , #workflow-automation , #linux , #how-to-enable-auto-start , #apache-dolphinscheduler , #apache-dolphinscheduler-guide , and more. This story was written by: @williamguo . Learn more about this writer by checking @williamguo's about page, and for more stories, please visit hackernoon.com . To set DolphinScheduler to start automatically upon system boot, you typically need to configure it as a system service. The following are general steps, which may vary depending on your operating system.…

Data Science Tech Brief By HackerNoon

1
Benchmarking Apache Kafka: Performance-per-price 13:11

לפני 1 year13:11

13:11

This story was originally published on HackerNoon at: https://hackernoon.com/benchmarking-apache-kafka-performance-per-price . This is a study comparing environments for Apache Kafka. The ultimate goal is to find the most effective setup and achieve the best price-performance ratio. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #apache-kafka , #amd , #arm , #aws , #gcp , #kafka-performance , #benchmarking-apache-kafka , #hackernoon-top-story , and more. This story was written by: @mishaepikhin . Learn more about this writer by checking @mishaepikhin's about page, and for more stories, please visit hackernoon.com . ARM rocks. Modern expensive architecture does not always mean “better”.…

Data Science Tech Brief By HackerNoon

1
When and When Not to Use Apache Kafka as a Database 9:26

לפני 1 year9:26

9:26

This story was originally published on HackerNoon at: https://hackernoon.com/when-and-when-not-to-use-apache-kafka-as-a-database . Discover how Apache Kafka’s data retention and querying capabilities make it similar to a database and learn when to use Kafka for database-like use cases. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #apache-kafka , #kafka-vs-database , #kafka-as-a-database , #real-time-data-processing , #database-management , #kafka-querying-capabilities , #open-source-event-streaming , #apache-kafka-for-data-storage , and more. This story was written by: @aahil . Learn more about this writer by checking @aahil's about page, and for more stories, please visit hackernoon.com . Apache Kafka, while not a traditional database, has database-like properties such as data retention and querying capabilities. This article explores when Kafka can be used for database-like purposes and when it is best suited as a streaming platform.…

Data Science Tech Brief By HackerNoon

1
A Leader's Guide to Data-Driven Success 7:35

לפני 1 year7:35

7:35

This story was originally published on HackerNoon at: https://hackernoon.com/a-leaders-guide-to-data-driven-success . Transform data from a source of frustration into a powerful business tool with this practical guide for executives. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-strategy , #business-insights , #data-management , #data-literacy , #data-analytics , #business-growth , #information-overload , #business-strategy , 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 . Despite having more information than ever, making informed decisions seems increasingly challenging. This guide is designed to help you transform data from a source of frustration into a powerful tool for driving business growth. From my own experience, I've seen professionals dedicating up to 50% of their workweek to validating data.…

Data Science Tech Brief By HackerNoon

1
Seamlessly Migrate Your On-Premise Data Pipeline to Azure with These Key Steps 12:35

לפני 1 year12:35

12:35

This story was originally published on HackerNoon at: https://hackernoon.com/seamlessly-migrate-your-on-premise-data-pipeline-to-azure-with-these-key-steps . Scaling AI/ML Data Needs: Migrating On-Premise Data Engineering Workloads to Azure Cloud Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-engineering , #azure-data-factory , #data-pipeline-migration , #azure-migration , #azure-data-integration , #cloud-data-transfer , #cloudera-to-azure , #azure-security-compliance , and more. This story was written by: @amlanpatnaik . Learn more about this writer by checking @amlanpatnaik's about page, and for more stories, please visit hackernoon.com . This guide details the process of migrating an on-premise Cloudera data system to Azure, covering key considerations, challenges, and best practices to ensure a smooth and secure transition.…

Data Science Tech Brief By HackerNoon

1
Data Collection for Product Managers 7:55

לפני 1 year7:55

7:55

This story was originally published on HackerNoon at: https://hackernoon.com/data-collection-for-product-managers . Discover how product managers can bridge the gap between intuition and data to optimize product improvement with best practices and real-world examples. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-collection , #startups , #data-product-management , #data-driven-insights , #data-driven-decision-making , #product-manager , #product-management-tips , #how-to-collect-data , and more. This story was written by: @carolinagarcia . Learn more about this writer by checking @carolinagarcia's about page, and for more stories, please visit hackernoon.com . Discover how product managers can bridge the gap between intuition and data to optimize product improvement. This guide explores the importance of data-driven decision-making, offering best practices and real-world examples from companies like NuBank, Monzo, Deliveroo, and Booking.com. Learn how to acquire insights from customer feedback, track performance metrics, monitor market trends, and refine product roadmaps through iterative experimentation. Become a data-driven PM and create products that users will love.…

Data Science Tech Brief By HackerNoon

1
Data Collection for Product Managers 7:55

לפני 1 year7:55

7:55

Data Science Tech Brief By HackerNoon

1
Leveraging Data Granularity, Distribution, and Modeling for Effective Product Management 11:39

לפני 1 year11:39

11:39

This story was originally published on HackerNoon at: https://hackernoon.com/leveraging-data-granularity-distribution-and-modeling-for-effective-product-management . These three fundamental concepts are exceptionally needed for being able to use data to enhance product strategy. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-analysis , #data-driven-product-management , #data-granularity , #data-distribution , #product-strategy , #user-behavior-analysis , #data-modeling , #business-strategy , and more. This story was written by: @gevorgkazaryan . Learn more about this writer by checking @gevorgkazaryan's about page, and for more stories, please visit hackernoon.com . Granularity determines the level of detail available in the data, which directly impacts what you can observe and analyze. For instance, finer granularity provides more detailed insights but may require more sophisticated handling and processing techniques. Distribution helps identify the patterns and spread of data, which is critical for selecting the appropriate analysis techniques and ensuring the accuracy of predictive models. Data Modeling uses the insights gained from understanding granularity and distribution to build predictive or descriptive models that inform decision-making and strategy.…

Data Science Tech Brief By HackerNoon

1
How Vectors, Rag and Llama 3 Are Changing First-Party Data 7:59

לפני 1 year7:59

7:59

This story was originally published on HackerNoon at: https://hackernoon.com/how-vectors-rag-and-llama-3-are-changing-first-party-data . In the battle for the best data, is first-party better? Not by itself, but it could be with vectors, frameworks like RAG, and open-source models Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #first-party-data , #big-data , #datasets , #rag-architecture , #retrieval-augmented-generation , #vector-embedding , #ai-models-for-data-analysis , #hackernoon-top-story , and more. This story was written by: @danielsvonava . Learn more about this writer by checking @danielsvonava's about page, and for more stories, please visit hackernoon.com . The push for first-party data generally goes that companies need to become better stewards of data acquisition and management. Consumers increasingly want to know who is hanging onto their personal information, how they got it, why they have it, and what is being done with it. The push to take back control of data seems essential, but is it practical?…

Data Science Tech Brief By HackerNoon

1
16 Best Sklearn Datasets for Building Machine Learning Models 21:22

לפני 1 year21:22

21:22

This story was originally published on HackerNoon at: https://hackernoon.com/16-best-sklearn-datasets-for-building-machine-learning-models . Sklearn datasets are included as part of the scikit-learn (sklearn) library, so they come pre-installed with the library. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #sklearn , #datasets , #datascience , #sklearn-datasets , #machine-learning , #python-programming , #dataset , #hackernoon-top-story , and more. This story was written by: @datasets . Learn more about this writer by checking @datasets's about page, and for more stories, please visit hackernoon.com . Sklearn is a Python module for machine learning built on top of SciPy. It is unique due to its wide range of algorithms and ease of use. Data powers machine learning algorithms and scikit-learn. Sklearn offers high quality datasets that are widely used by researchers, practitioners and enthusiasts.…

Data Science Tech Brief By HackerNoon

1
Enhancing Audit Processes With Advanced Analytical Tools 5:01

לפני 1 year5:01

5:01

This story was originally published on HackerNoon at: https://hackernoon.com/enhancing-audit-processes-with-advanced-analytical-tools . Discover how advanced analytical tools streamline audit processes, boosting accuracy and efficiency for tech professionals. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #advanced-analytics , #software-development , #audit , #analytics-based-auditing , #auditing-tech , #data-visualization , #complex-event-processing , #ai-in-analytics , and more. This story was written by: @devinpartida . Learn more about this writer by checking @devinpartida's about page, and for more stories, please visit hackernoon.com . Developers can leverage advanced analytics tools to streamline and improve software, compliance and internal controls auditing. Advanced analytics tools like artificial intelligence, complex event processing and data mining enable 100% population testing. They eliminate the need for sampling, thereby reducing bias and error risks. Autonomous technologies like AI are particularly beneficial since they eliminate human error.…

Data Science Tech Brief By HackerNoon

1
Go Clean to Be Lean: Data Optimization for Improved Business Efficiency 11:30

לפני 1 year11:30

11:30

This story was originally published on HackerNoon at: https://hackernoon.com/go-clean-to-be-lean-data-optimization-for-improved-business-efficiency . The article discusses cost optimization with clean data, explaining how businesses can save resources by reducing the workload for data analysts and more. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-cleaning , #data-optimization , #data-cleansing , #clean-data , #big-data , #big-data-processing , #data-processing , #business-data , and more. This story was written by: @karolisdidziulis . Learn more about this writer by checking @karolisdidziulis's about page, and for more stories, please visit hackernoon.com . This article discusses cost optimization with clean data. It explains how businesses can save resources by decreasing the load for data analysts, among other opportunities. It also discusses the differences between raw and clean data and who can benefit from switching to the latter. You'll also find 4 ways in which clean data reduces time to value.…

Data Science Tech Brief By HackerNoon

1
Efficient Data Management and Workflow Orchestration with Apache Doris Job Scheduler 7:26

לפני 1 year7:26

7:26

This story was originally published on HackerNoon at: https://hackernoon.com/efficient-data-management-and-workflow-orchestration-with-apache-doris-job-scheduler . Apache Doris 2.1.0's built-in Job Scheduler simplifies task automation with high efficiency, flexibility, and easy integration for seamless data management. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-engineering , #big-data , #database , #open-source , #programming , #apache-doris , #task-automation , #workflow-orchestration , and more. This story was written by: @frankzzz . Learn more about this writer by checking @frankzzz's about page, and for more stories, please visit hackernoon.com . The built-in Doris Job Scheduler triggers pre-defined operations efficiently and reliably. It is useful in many cases including ETL and data lake analytics.…

Data Science Tech Brief By HackerNoon

1
Scaling Ethereum: Data Bloat, Data Availability, and the Cloudless Solution 17:12

לפני 1 year17:12

17:12

This story was originally published on HackerNoon at: https://hackernoon.com/scaling-ethereum-data-bloat-data-availability-and-the-cloudless-solution . Determining how to persist Ethereum’s excess data will allow it to scale indefinitely into the future, and Codex has arrived to help. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-storage , #decentralized-storage , #peer-to-peer , #web3-storage , #ethereum , #ethereum-scaling , #good-company , #data-bloat , and more. This story was written by: @logos . Learn more about this writer by checking @logos's about page, and for more stories, please visit hackernoon.com . Codex is a cloudless, trustless, p2p storage protocol seeking to offer strong data persistence and durability guarantees for the Ethereum ecosystem and beyond. Due to the rapid development and implementation of new protocols, the Ethereum blockchain chain has become bloated with data. This data bloat can also be defined as “network congestion,” where transaction data clogs the network and undermines scalability. Codex offers a solution to the DA problem, except with data persistence.…

Data Science Tech Brief By HackerNoon

1
What Frontend Devs Want (From Backend Devs) 5:42

לפני 1 year5:42

5:42

This story was originally published on HackerNoon at: https://hackernoon.com/what-frontend-devs-want-from-backend-devs . Backend developers can help frontend developers work with their API more efficiently and ship the product with as little friction as possible. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-structure , #backend-developer , #typescript , #programming-advice , #api , #coding-teamwork , #how-to-have-clean-code , #figma , and more. This story was written by: @smileek . Learn more about this writer by checking @smileek's about page, and for more stories, please visit hackernoon.com . Backend developers can help frontend developers work with their API more efficiently and ship the product with as little friction as possible. Here are a few simple things that can decrease your time-to-market or improve other fancy metrics your managers want you to improve. I will tell it from the web developers’ point of view, but from what I remember, the same works for mobile development.…

Data Science Tech Brief By HackerNoon

1
How to Build an AI Chatbot with Python and Gemini API 6:04

לפני 1 year6:04

6:04

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-build-an-ai-chatbot-with-python-and-gemini-api . Learn how to create a web-based AI chatbot using Python and the Gemini API with this step-by-step beginner-friendly guide. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #python-programming , #ai-chatbot , #google-gemini , #google-ai , #gemini-api , #python-tutorials , #python-flask , #chatbot-development , and more. This story was written by: @proflead . Learn more about this writer by checking @proflead's about page, and for more stories, please visit hackernoon.com . This guide walks you through building a web-based AI chatbot using Python and the Gemini API. From setting up your environment to running your chatbot, you'll learn each step to create your own AI assistant.…

Data Science Tech Brief By HackerNoon

1
How to Set Up a Local DNS Server With Python 4:13

לפני 1 year4:13

4:13

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-set-up-a-local-dns-server-with-python . DNS servers play a crucial role in translating human-friendly domain names into IP addresses that computers use to identify each other on the network. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #python-programming , #networking , #dns-server-guide , #how-to-set-up-dns-server , #how-to-creatw-html-files , #http-server-guide , #troubleshooting-dns-server , #python-and-dns-servers , and more. This story was written by: @hackerclukchp0j00003b6oy80p1nrw . Learn more about this writer by checking @hackerclukchp0j00003b6oy80p1nrw's about page, and for more stories, please visit hackernoon.com . DNS servers play a crucial role in translating human-friendly domain names into IP addresses that computers use to identify each other on the network. Setting up your own local DNS server can be beneficial for various reasons, including local development, internal network management, and educational purposes. We’ll create a simple HTTP server using Python’s built-in `http.server` module to serve the HTML files.…

Data Science Tech Brief By HackerNoon

1
The Collective Loves Data: How Big Data Is Shaping and Predicting Our Future 8:11

לפני 1 year8:11

8:11

This story was originally published on HackerNoon at: https://hackernoon.com/the-collective-loves-data-how-big-data-is-shaping-and-predicting-our-future . Big data shapes our future! Explore how massive datasets are used to predict trends & make smarter decisions. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #big-data , #what-is-big-data , #examples-of-big-data , #digital-footprint , #machine-world , #big-data-storage , #big-data-processing , #what-to-know-about-big-data , and more. This story was written by: @manoj123 . Learn more about this writer by checking @manoj123's about page, and for more stories, please visit hackernoon.com . Big data surrounds us! From social media posts to sensor readings, vast amounts of information shape our world. This article by a Google engineer dives into what big data is (think massive, varied, and ever-growing data sets) and how it's analyzed to predict trends and make smarter decisions. Learn about real-world applications and exciting future possibilities like AI and quantum computing.…

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