Apache Doris for Log and Time Series Data Analysis in NetEase: Why Not Elasticsearch and InfluxDB?

Data Science Tech Brief By HackerNoon

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محتوای ارائه شده توسط HackerNoon. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط HackerNoon یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

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444- Eloping is Fun with Jenny Mac 1:06:22

35 weeks پیش1:06:22

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1:06:22

Want to ditch the big wedding and elope? This episode's for you! Jenny Mac, creator of New York City-based Eloping is Fun, joins us this week to chat about the next steps after deciding to elope, as well as the creative ways couples are balancing traditions with a more intimate elopement or micro-wedding. Find Eloping is Fun on Instagram at @elopingisfun and their website elopingisfun.com Visit thebridechilla.com for all the latest news! BriteCo: Modern Insurance for Modern Milestones. Visit brite.co/bridechilla/ for a fast, free quote today and unlock peace of mind knowing you're covered. Learn more about your ad choices. Visit megaphone.fm/adchoices…

حدود یک سال پیش 12:01

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This story was originally published on HackerNoon at: https://hackernoon.com/apache-doris-for-log-and-time-series-data-analysis-in-netease-why-not-elasticsearch-and-influxdb.
NetEase has replaced Elasticsearch and InfluxDB with Apache Doris in its monitoring and time series data analysis platforms, respectively
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-engineering, #logging, #time-series-analysis, #time-series-database, #big-data-analytics, #elasticsearch, #database, #netease, 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.
NetEase has replaced Elasticsearch and InfluxDB with Apache Doris in its monitoring and time series data analysis platforms, respectively, achieving 11X query performance and saving 70% of resources.

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Data Science Tech Brief By HackerNoon

Apache Doris for Log and Time Series Data Analysis in NetEase: Why Not Elasticsearch and InfluxDB?

Data Science Tech Brief By HackerNoon

published حدود یک سال پیش

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Data Science Tech Brief By HackerNoon

1
From Data Fragmentation to Billion-Dollar Insights: The Vision of Manish Ravindra Sharath 7:19

10 روز پیش7:19

7:19

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.…

Data Science Tech Brief By HackerNoon

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Building a Layered Defense Against Web Scraping 8:43

10 روز پیش8:43

8:43

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.…

Data Science Tech Brief By HackerNoon

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

17 روز پیش2:56

2:56

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.…

Data Science Tech Brief By HackerNoon

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

25 روز پیش6:06

6:06

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.…

Data Science Tech Brief By HackerNoon

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

۴ weeks پیش7:44

7:44

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.…

Data Science Tech Brief By HackerNoon

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

۶ weeks پیش7:26

7:26

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.…

Data Science Tech Brief By HackerNoon

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

۶ weeks پیش12:42

12:42

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.…

Data Science Tech Brief By HackerNoon

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

۷ weeks پیش13:23

13:23

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.…

Data Science Tech Brief By HackerNoon

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

۷ weeks پیش16:17

16:17

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!…

Data Science Tech Brief By HackerNoon

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

۷ weeks پیش7:50

7:50

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.…

Data Science Tech Brief By HackerNoon

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

۷ weeks پیش7:51

7:51

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.…

Data Science Tech Brief By HackerNoon

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

۷ weeks پیش5:59

5:59

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

۸ weeks پیش6:09

6:09

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

۸ weeks پیش7:26

7:26

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

۸ weeks پیش10:09

10:09

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

۸ weeks پیش15:50

15:50

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

1 year پیش11:24

11:24

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

1 year پیش5:59

5:59

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

1 year پیش8:10

8:10

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

1 year پیش5:47

5:47

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

1 year پیش7:15

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

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

1 year پیش6:45

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

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

1 year پیش10:20

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

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

1 year پیش9:38

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

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

1 year پیش4:18

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

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

1 year پیش13:11

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

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

1 year پیش9:26

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

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

1 year پیش7:35

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

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

1 year پیش12:35

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

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Data Collection for Product Managers 7:55

1 year پیش7:55

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

۳ years پیش4:45

4:45

This story was originally published on HackerNoon at: https://hackernoon.com/how-high-quality-datasets-can-revolutionize-business-outcomes-with-machine-learning . The accuracy of a machine learning model is a measure of how well it can make predictions on new, unseen data. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #big-data , #database , #dataset , #data-storage , #ai , #datascience , #good-company , #machine-learning , #hackernoon-es , #hackernoon-hi , #hackernoon-zh , #hackernoon-vi , #hackernoon-fr , #hackernoon-pt , #hackernoon-ja , and more. This story was written by: @datascienceua . Learn more about this writer by checking @datascienceua's about page, and for more stories, please visit hackernoon.com . In machine learning, the quality of the dataset is just as important as the complexity of the model. Without high-quality data, even the most advanced algorithms and models will not be able to deliver accurate results. In this article, we will explore the correlation between datasets and models, and how the accuracy of a model can impact business outcomes.…

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Data Science Tech Brief By HackerNoon « » Apache Doris for Log and Time Series Data Analysis in NetEase: Why Not Elasticsearch and InfluxDB?

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Apache Doris for Log and Time Series Data Analysis in NetEase: Why Not Elasticsearch and InfluxDB?