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| <div><a href="#" class="skipToContent_1oUP">Skip to main content</a></div><div class="announcementBar_3WsW" style="background-color:#252532;color:#fff" role="banner"><div class="announcementBarContent_3EUC announcementBarCloseable_3myR">⭐️ If you love <b>Apache Pinot</b>, please give it a star on <a target="_blank" href="https://github.com/apache/pinot"><b>GitHub</b></a>! ⭐️</div><button type="button" class="announcementBarClose_38nx clean-btn" aria-label="Close"><span aria-hidden="true">×</span></button></div><nav class="navbar navbar--fixed-top navbarHideable_2qcr"><div class="navbar__inner"><div class="navbar__items"><button aria-label="Navigation bar toggle" class="navbar__toggle clean-btn" type="button" tabindex="0"><svg width="30" height="30" viewBox="0 0 30 30" aria-hidden="true"><path stroke="currentColor" stroke-linecap="round" stroke-miterlimit="10" stroke-width="2" d="M4 7h22M4 15h22M4 23h22"></path></svg></button><a class="navbar__brand" href="/"><img src="/img/pinot-navbar-logo-722f37.svg" alt="Pinot" class="themedImage_1VuW themedImage--light_3UqQ navbar__logo"><img src="/img/pinot-navbar-logo-722f37.svg" alt="Pinot" class="themedImage_1VuW themedImage--dark_hz6m navbar__logo"></a></div><div class="navbar__items navbar__items--right"><a href="https://docs.pinot.apache.org/" target="_blank" rel="noopener noreferrer" class="navbar__item navbar__link">Docs</a><a class="navbar__item navbar__link" href="/download">Download</a><a aria-current="page" class="navbar__item navbar__link navbar__link--active" href="/blog">Blog</a><a href="https://github.com/apache/pinot" target="_blank" rel="noopener noreferrer" class="navbar__item navbar__link"><span>GitHub<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_3J9K"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></span></a><div class="react-toggle toggle_3Zt9 react-toggle--checked react-toggle--disabled"><div class="react-toggle-track" role="button" tabindex="-1"><div class="react-toggle-track-check"><span class="toggle_71bT" style="margin-left:2px">🌙</span></div><div class="react-toggle-track-x"><span class="toggle_71bT" style="margin-left:2px">☀️</span></div><div class="react-toggle-thumb"></div></div><input type="checkbox" checked="" class="react-toggle-screenreader-only" aria-label="Switch between dark and light mode"></div><div class="searchBox_1Doo"><button type="button" class="DocSearch DocSearch-Button" aria-label="Search"><span class="DocSearch-Button-Container"><svg width="20" height="20" class="DocSearch-Search-Icon" viewBox="0 0 20 20"><path d="M14.386 14.386l4.0877 4.0877-4.0877-4.0877c-2.9418 2.9419-7.7115 2.9419-10.6533 0-2.9419-2.9418-2.9419-7.7115 0-10.6533 2.9418-2.9419 7.7115-2.9419 10.6533 0 2.9419 2.9418 2.9419 7.7115 0 10.6533z" stroke="currentColor" fill="none" fill-rule="evenodd" stroke-linecap="round" stroke-linejoin="round"></path></svg><span class="DocSearch-Button-Placeholder">Search</span></span><span class="DocSearch-Button-Keys"></span></button></div></div></div><div role="presentation" class="navbar-sidebar__backdrop"></div></nav><div class="main-wrapper blog-wrapper blog-list-page"><div class="container margin-vert--lg"><div class="row"><aside class="col col--3"><nav class="sidebar_2ahu thin-scrollbar" aria-label="Blog recent posts navigation"><div class="sidebarItemTitle_2hhb margin-bottom--md">All our posts</div><ul class="sidebarItemList_2xAf"><li class="sidebarItem_2UVv"><a class="sidebarItemLink_1RT6" href="/blog/2021/06/16/LinkedIn-TextAnalytics">Text analytics on LinkedIn Talent Insights using Apache Pinot</a></li><li class="sidebarItem_2UVv"><a class="sidebarItemLink_1RT6" href="/blog/2021/06/13/DevBlog-Geospatial">Introduction to Geospatial Queries in Apache Pinot</a></li><li class="sidebarItem_2UVv"><a class="sidebarItemLink_1RT6" href="/blog/2021/04/29/Uber-Charon">Automating Merchant Live Monitoring with Real-Time Analytics - Charon</a></li><li class="sidebarItem_2UVv"><a class="sidebarItemLink_1RT6" href="/blog/2021/04/27/DevBlog-PinotInRetailChain">Deploying Apache Pinot at a Large Retail Chain</a></li><li class="sidebarItem_2UVv"><a class="sidebarItemLink_1RT6" href="/blog/2021/04/16/LinkedIn-Theta">Solving for the cardinality of set intersection at scale with Pinot and Theta Sketches</a></li><li class="sidebarItem_2UVv"><a class="sidebarItemLink_1RT6" href="/blog/2021/04/08/DevBlog-UpsertsIntro">Introduction to Upserts in Apache Pinot</a></li><li class="sidebarItem_2UVv"><a class="sidebarItemLink_1RT6" href="/blog/2021/02/02/DevBlog-PrestoPinot">Real-time Analytics with Presto and Apache Pinot</a></li><li class="sidebarItem_2UVv"><a class="sidebarItemLink_1RT6" href="/blog/2021/01/08/DevBlog-DebeziumCDC">Change Data Analysis with Debezium and Apache Pinot</a></li><li class="sidebarItem_2UVv"><a class="sidebarItemLink_1RT6" href="/blog/2020/12/01/LinkedIn-Lamda">From Lambda to Lambda-less Lessons learned</a></li><li class="sidebarItem_2UVv"><a class="sidebarItemLink_1RT6" href="/blog/2020/10/20/Uber-Operating">Operating Apache Pinot at Uber Scale</a></li></ul></nav></aside><main class="col col--7"><article class="margin-bottom--xl"><header><h2 class="blogPostTitle_GeHD"><a href="/blog/2020/04/10/DevBlog-AnalyzeGitEvents">Using Apache Pinot and Kafka to Analyze GitHub Events</a></h2><div class="blogPostData_291c margin-vert--md"><time datetime="2020-04-10T00:00:00.000Z">April 10, 2020</time> · One min read</div><div class="avatar margin-vert--md"><a href="https://medium.com/apache-pinot-developer-blog" target="_blank" rel="noopener noreferrer" class="avatar__photo-link avatar__photo"><img src="https://pbs.twimg.com/profile_images/1400521020973400069/5y2UMi4r_400x400.jpg" alt="Kenny Bastani"></a><div class="avatar__intro"><div class="avatar__name"><a href="https://medium.com/apache-pinot-developer-blog" target="_blank" rel="noopener noreferrer">Kenny Bastani</a></div><small class="avatar__subtitle">Kenny Bastani</small></div></div></header><div class="markdown"><p>In this blog post, we’ll show you how Pinot and Kafka can be used together to ingest, query, and visualize event streams sourced from the public GitHub API. For the step-by-step instructions, please visit our documentation, which will guide you through the specifics of running this example in your development environment.</p><p>Read More at <a href="https://medium.com/apache-pinot-developer-blog/using-apache-pinot-and-kafka-to-analyze-github-events-93cdcb57d5f7" target="_blank" rel="noopener noreferrer">https://medium.com/apache-pinot-developer-blog/using-apache-pinot-and-kafka-to-analyze-github-events-93cdcb57d5f7</a></p><p><img src="https://miro.medium.com/max/4728/1*eR64jBH1ZvC3uNfPP56p5g.png" alt="Using Apache Pinot and Kafka to Analyze GitHub Events"></p></div><footer class="row docusaurus-mt-lg"><div class="col"><b>Tags:</b><a class="margin-horiz--sm" href="/blog/tags/pinot">Pinot</a><a class="margin-horiz--sm" href="/blog/tags/dev-blog">DevBlog</a><a class="margin-horiz--sm" href="/blog/tags/third-eye">ThirdEye</a><a class="margin-horiz--sm" href="/blog/tags/real-time-data-platform">real-time data platform</a><a class="margin-horiz--sm" href="/blog/tags/realtime">Realtime</a><a class="margin-horiz--sm" href="/blog/tags/analytics">Analytics</a><a class="margin-horiz--sm" href="/blog/tags/user-facing-analytics">User-Facing Analytics</a></div></footer></article><article class="margin-bottom--xl"><header><h2 class="blogPostTitle_GeHD"><a href="/blog/2020/02/20/LinkedIn-Thirdeye">Analyzing anomalies with ThirdEye</a></h2><div class="blogPostData_291c margin-vert--md"><time datetime="2020-02-20T00:00:00.000Z">February 20, 2020</time> · One min read</div><div class="avatar margin-vert--md"><a href="https://engineering.linkedin.com/blog/topic/pinot" target="_blank" rel="noopener noreferrer" class="avatar__photo-link avatar__photo"><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/e/e9/Linkedin_icon.svg/512px-Linkedin_icon.svg.png" alt="LinkedIn"></a><div class="avatar__intro"><div class="avatar__name"><a href="https://engineering.linkedin.com/blog/topic/pinot" target="_blank" rel="noopener noreferrer">LinkedIn</a></div><small class="avatar__subtitle">LinkedIn Engineering Team</small></div></div></header><div class="markdown"><p>Focus on the behind-the-scenes functionalities of ThirdEye that analyze the multi-dimensional time series data |
| and help our engineers understand why these anomalies happened through a dimension heatmap</p><p><a href="https://engineering.linkedin.com/blog/2020/analyzing-anomalies-with-thirdeye" target="_blank" rel="noopener noreferrer">Read More at https://engineering.linkedin.com/blog/2020/analyzing-anomalies-with-thirdeye</a></p><p><img src="https://content.linkedin.com/content/dam/engineering/site-assets/images/blog/posts/2020/02/datacube-1.png" alt="Analyzing anomalies with ThirdEye"></p></div><footer class="row docusaurus-mt-lg"><div class="col"><b>Tags:</b><a class="margin-horiz--sm" href="/blog/tags/pinot">Pinot</a><a class="margin-horiz--sm" href="/blog/tags/linked-in">LinkedIn</a><a class="margin-horiz--sm" href="/blog/tags/real-time-data-platform">real-time data platform</a><a class="margin-horiz--sm" href="/blog/tags/realtime">Realtime</a><a class="margin-horiz--sm" href="/blog/tags/analytics">Analytics</a><a class="margin-horiz--sm" href="/blog/tags/user-facing-analytics">User-Facing Analytics</a></div></footer></article><article class="margin-bottom--xl"><header><h2 class="blogPostTitle_GeHD"><a href="/blog/2020/01/15/Pinot-Presto-SQL">Engineering SQL Support on Apache Pinot at Uber</a></h2><div class="blogPostData_291c margin-vert--md"><time datetime="2020-01-15T00:00:00.000Z">January 15, 2020</time> · One min read</div><div class="avatar margin-vert--md"><a href="https://eng.uber.com/category/articles/uberdata/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link avatar__photo"><img src="https://pbs.twimg.com/profile_images/1192909783856103427/6A4s8gW2_400x400.png" alt="Uber"></a><div class="avatar__intro"><div class="avatar__name"><a href="https://eng.uber.com/category/articles/uberdata/" target="_blank" rel="noopener noreferrer">Uber</a></div><small class="avatar__subtitle">Uber Data Team</small></div></div></header><div class="markdown"><p>Uber leverages real-time analytics on aggregate data to improve the user experience across our products, from fighting fraudulent behavior on Uber Eats to forecasting demand on our platform.</p><p>To resolve these issues, we built a solution that linked Presto, a query engine that supports full ANSI SQL, and Pinot, a real-time OLAP (online analytical processing) datastore. This married solution allows users to write ad-hoc SQL queries, empowering teams to unlock significant analysis capabilities.</p><p><a href="https://eng.uber.com/engineering-sql-support-on-apache-pinot/" target="_blank" rel="noopener noreferrer">Read More at https://eng.uber.com/engineering-sql-support-on-apache-pinot/</a></p><p><img src="https://1fykyq3mdn5r21tpna3wkdyi-wpengine.netdna-ssl.com/wp-content/uploads/2020/01/Header-SQL-768x329.png" alt="SQL Support on Apache Pinot at Uber"></p></div><footer class="row docusaurus-mt-lg"><div class="col"><b>Tags:</b><a class="margin-horiz--sm" href="/blog/tags/pinot">Pinot</a><a class="margin-horiz--sm" href="/blog/tags/uber">Uber</a><a class="margin-horiz--sm" href="/blog/tags/real-time-data-platform">real-time data platform</a><a class="margin-horiz--sm" href="/blog/tags/realtime">Realtime</a><a class="margin-horiz--sm" href="/blog/tags/analytics">Analytics</a><a class="margin-horiz--sm" href="/blog/tags/user-facing-analytics">User-Facing Analytics</a><a class="margin-horiz--sm" href="/blog/tags/presto">Presto</a><a class="margin-horiz--sm" href="/blog/tags/sql">SQL</a></div></footer></article><article class="margin-bottom--xl"><header><h2 class="blogPostTitle_GeHD"><a href="/blog/2019/07/11/LinkedIn-AutoTune">Auto-tuning Pinot real-time consumption</a></h2><div class="blogPostData_291c margin-vert--md"><time datetime="2019-07-11T00:00:00.000Z">July 11, 2019</time> · One min read</div><div class="avatar margin-vert--md"><a href="https://engineering.linkedin.com/blog/topic/pinot" target="_blank" rel="noopener noreferrer" class="avatar__photo-link avatar__photo"><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/e/e9/Linkedin_icon.svg/512px-Linkedin_icon.svg.png" alt="LinkedIn"></a><div class="avatar__intro"><div class="avatar__name"><a href="https://engineering.linkedin.com/blog/topic/pinot" target="_blank" rel="noopener noreferrer">LinkedIn</a></div><small class="avatar__subtitle">LinkedIn Engineering Team</small></div></div></header><div class="markdown"><p>Focus on Auto tuning Pinot, a scalable distributed columnar OLAP data store developed at LinkedIn, delivers real-time analytics for site-facing use cases such as LinkedIn's Who viewed my profile, Talent insights, and more.</p><p>Read More at <a href="https://engineering.linkedin.com/blog/2020/bridging-batch-and-stream-processing" target="_blank" rel="noopener noreferrer">https://engineering.linkedin.com/blog/2020/bridging-batch-and-stream-processing</a></p><p><img src="https://content.linkedin.com/content/dam/engineering/site-assets/images/blog/posts/2020/07/bridging-1.png" alt="Bridging batch and stream processing for the Recruiter usage statistics dashboard"></p></div><footer class="row docusaurus-mt-lg"><div class="col"><b>Tags:</b><a class="margin-horiz--sm" href="/blog/tags/pinot">Pinot</a><a class="margin-horiz--sm" href="/blog/tags/linked-in">LinkedIn</a><a class="margin-horiz--sm" href="/blog/tags/real-time-data-platform">real-time data platform</a><a class="margin-horiz--sm" href="/blog/tags/realtime">Realtime</a><a class="margin-horiz--sm" href="/blog/tags/analytics">Analytics</a><a class="margin-horiz--sm" href="/blog/tags/user-facing-analytics">User-Facing Analytics</a></div></footer></article><article class="margin-bottom--xl"><header><h2 class="blogPostTitle_GeHD"><a href="/blog/2019/06/14/LinkedIn-StarTree">Star-tree index - Powering fast aggregations on Pinot</a></h2><div class="blogPostData_291c margin-vert--md"><time datetime="2019-06-14T00:00:00.000Z">June 14, 2019</time> · One min read</div><div class="avatar margin-vert--md"><a href="https://engineering.linkedin.com/blog/topic/pinot" target="_blank" rel="noopener noreferrer" class="avatar__photo-link avatar__photo"><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/e/e9/Linkedin_icon.svg/512px-Linkedin_icon.svg.png" alt="LinkedIn"></a><div class="avatar__intro"><div class="avatar__name"><a href="https://engineering.linkedin.com/blog/topic/pinot" target="_blank" rel="noopener noreferrer">LinkedIn</a></div><small class="avatar__subtitle">LinkedIn Engineering Team</small></div></div></header><div class="markdown"><p>Introduced Star-Tree index to utilize the pre-aggregated documents in a smart way that achieves low query latencies, |
| while using the storage space efficiently.</p><p>Read More at <a href="https://engineering.linkedin.com/blog/2019/06/star-tree-index--powering-fast-aggregations-on-pinot" target="_blank" rel="noopener noreferrer">https://engineering.linkedin.com/blog/2019/06/star-tree-index--powering-fast-aggregations-on-pinot</a></p><p><img src="https://content.linkedin.com/content/dam/engineering/site-assets/images/blog/posts/2019/06/startree3.png" alt="Star-tree index - Powering fast aggregations on Pinot"></p></div><footer class="row docusaurus-mt-lg"><div class="col"><b>Tags:</b><a class="margin-horiz--sm" href="/blog/tags/pinot">Pinot</a><a class="margin-horiz--sm" href="/blog/tags/linked-in">LinkedIn</a><a class="margin-horiz--sm" href="/blog/tags/real-time-data-platform">real-time data platform</a><a class="margin-horiz--sm" href="/blog/tags/realtime">Realtime</a><a class="margin-horiz--sm" href="/blog/tags/analytics">Analytics</a><a class="margin-horiz--sm" href="/blog/tags/user-facing-analytics">User-Facing Analytics</a></div></footer></article><article class="margin-bottom--xl"><header><h2 class="blogPostTitle_GeHD"><a href="/blog/2019/01/09/LinkedIn-IntroThirdEye">Introducing ThirdEye - LinkedIn’s Business-Wide Monitoring Platform</a></h2><div class="blogPostData_291c margin-vert--md"><time datetime="2019-01-09T00:00:00.000Z">January 9, 2019</time> · One min read</div><div class="avatar margin-vert--md"><a href="https://engineering.linkedin.com/blog/topic/pinot" target="_blank" rel="noopener noreferrer" class="avatar__photo-link avatar__photo"><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/e/e9/Linkedin_icon.svg/512px-Linkedin_icon.svg.png" alt="LinkedIn"></a><div class="avatar__intro"><div class="avatar__name"><a href="https://engineering.linkedin.com/blog/topic/pinot" target="_blank" rel="noopener noreferrer">LinkedIn</a></div><small class="avatar__subtitle">LinkedIn Engineering Team</small></div></div></header><div class="markdown"><p>ThirdEye is a comprehensive platform for real-time monitoring of metrics that covers a wide variety of use-cases. |
| LinkedIn relies on ThirdEye to monitor site performance, track member growth, understand adoption of new features, |
| flag sustained attempts to circumvent system security, and many other areas</p><p>Read More at <a href="https://engineering.linkedin.com/blog/2019/01/introducing-thirdeye--linkedins-business-wide-monitoring-platfor" target="_blank" rel="noopener noreferrer">https://engineering.linkedin.com/blog/2019/01/introducing-thirdeye--linkedins-business-wide-monitoring-platfor</a></p><p><img src="https://content.linkedin.com/content/dam/engineering/site-assets/images/blog/posts/2019/06/startree3.png" alt="Star-tree index - Powering fast aggregations on Pinot"></p></div><footer class="row docusaurus-mt-lg"><div class="col"><b>Tags:</b><a class="margin-horiz--sm" href="/blog/tags/pinot">Pinot</a><a class="margin-horiz--sm" href="/blog/tags/linked-in">LinkedIn</a><a class="margin-horiz--sm" href="/blog/tags/real-time-data-platform">real-time data platform</a><a class="margin-horiz--sm" href="/blog/tags/realtime">Realtime</a><a class="margin-horiz--sm" href="/blog/tags/third-eye">ThirdEye</a><a class="margin-horiz--sm" href="/blog/tags/analytics">Analytics</a><a class="margin-horiz--sm" href="/blog/tags/user-facing-analytics">User-Facing Analytics</a></div></footer></article><article class="margin-bottom--xl"><header><h2 class="blogPostTitle_GeHD"><a href="/blog/2017/09/17/Restaurant-Manager">Engineering Restaurant Manager - UberEATS Analytics Dashboard</a></h2><div class="blogPostData_291c margin-vert--md"><time datetime="2017-09-17T00:00:00.000Z">September 17, 2017</time> · One min read</div><div class="avatar margin-vert--md"><a href="https://eng.uber.com/category/articles/uberdata/" target="_blank" rel="noopener noreferrer" class="avatar__photo-link avatar__photo"><img src="https://pbs.twimg.com/profile_images/1192909783856103427/6A4s8gW2_400x400.png" alt="Uber"></a><div class="avatar__intro"><div class="avatar__name"><a href="https://eng.uber.com/category/articles/uberdata/" target="_blank" rel="noopener noreferrer">Uber</a></div><small class="avatar__subtitle">Uber Data Team</small></div></div></header><div class="markdown"><p>At Uber, we use data analytics to architect more magical user experiences across our products. Whenever possible, we harness these data engineering capabilities to empower our partners to better serve their customers. For instance, in late 2016, the UberEATS engineering team built a comprehensive analytics dashboard that provides restaurant partners with additional insights about the health of their business.</p><p>Read More at <a href="https://eng.uber.com/restaurant-manager/" target="_blank" rel="noopener noreferrer">https://eng.uber.com/restaurant-manager/</a></p><p><img src="https://1fykyq3mdn5r21tpna3wkdyi-wpengine.netdna-ssl.com/wp-content/uploads/2017/09/image4-2.png" alt="Engineering Restaurant Manager - UberEATS Analytics Dashboard"></p></div><footer class="row docusaurus-mt-lg"><div class="col"><b>Tags:</b><a class="margin-horiz--sm" href="/blog/tags/pinot">Pinot</a><a class="margin-horiz--sm" href="/blog/tags/uber-data">Uber Data</a><a class="margin-horiz--sm" href="/blog/tags/real-time-data-platform">real-time data platform</a><a class="margin-horiz--sm" href="/blog/tags/realtime">Realtime</a><a class="margin-horiz--sm" href="/blog/tags/analytics">Analytics</a><a class="margin-horiz--sm" href="/blog/tags/user-facing-analytics">User-Facing Analytics</a><a class="margin-horiz--sm" href="/blog/tags/financial-intelligence">financial intelligence</a></div></footer></article><article class="margin-bottom--xl"><header><h2 class="blogPostTitle_GeHD"><a href="/blog/2015/06/10/Open-Sourcing-Pinot">Open Sourcing Pinot - Scaling the Wall of Real-Time Analytics</a></h2><div class="blogPostData_291c margin-vert--md"><time datetime="2015-06-10T00:00:00.000Z">June 10, 2015</time> · One min read</div><div class="avatar margin-vert--md"><a href="https://github.com/kishoreg" target="_blank" rel="noopener noreferrer" class="avatar__photo-link avatar__photo"><img src="https://avatars.githubusercontent.com/kishoreg" alt="Kishore Gopalakrishna"></a><div class="avatar__intro"><div class="avatar__name"><a href="https://github.com/kishoreg" target="_blank" rel="noopener noreferrer">Kishore Gopalakrishna</a></div><small class="avatar__subtitle">Apache Pinot Team</small></div></div></header><div class="markdown"><p>LinkedIn’s real-time analytics infrastructure, that we built to allow us to slice and dice across billions of rows in real-time across a wide variety of products. Read More at (<a href="https://engineering.linkedin.com/pinot/open-sourcing-pinot-scaling-wall-real-time-analytics" target="_blank" rel="noopener noreferrer">https://engineering.linkedin.com/pinot/open-sourcing-pinot-scaling-wall-real-time-analytics</a>)</p></div><footer class="row docusaurus-mt-lg"><div class="col"><b>Tags:</b><a class="margin-horiz--sm" href="/blog/tags/pinot">Pinot</a><a class="margin-horiz--sm" href="/blog/tags/a-b-testing">A/B Testing</a><a class="margin-horiz--sm" href="/blog/tags/infrastructure">Infrastructure</a><a class="margin-horiz--sm" href="/blog/tags/analytics">Analytics</a><a class="margin-horiz--sm" href="/blog/tags/user-facing-analytics">User-Facing Analytics</a></div></footer></article><article class="margin-bottom--xl"><header><h2 class="blogPostTitle_GeHD"><a href="/blog/2015/05/16/LinkedIn-Scaling">A Brief History of Scaling LinkedIn</a></h2><div class="blogPostData_291c margin-vert--md"><time datetime="2015-05-16T00:00:00.000Z">May 16, 2015</time> · One min read</div><div class="avatar margin-vert--md"><a href="https://engineering.linkedin.com/blog/topic/pinot" target="_blank" rel="noopener noreferrer" class="avatar__photo-link avatar__photo"><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/e/e9/Linkedin_icon.svg/512px-Linkedin_icon.svg.png" alt="LinkedIn"></a><div class="avatar__intro"><div class="avatar__name"><a href="https://engineering.linkedin.com/blog/topic/pinot" target="_blank" rel="noopener noreferrer">LinkedIn</a></div><small class="avatar__subtitle">LinkedIn Engineering Team</small></div></div></header><div class="markdown"><p>LinkedIn started in 2003 with the goal of connecting to your network for better job opportunities. It had only 2,700 members the first week. Fast forward many years, and LinkedIn’s product portfolio, member base, and server load has grown tremendously.</p><p>Today, LinkedIn operates globally with more than 350 million members. We serve tens of thousands of web pages every second of every day. We've hit our mobile moment where mobile accounts for more than 50 percent of all global traffic. All those requests are fetching data from our backend systems, which in turn handle millions of queries per second.</p><p>Read More at <a href="https://engineering.linkedin.com/architecture/brief-history-scaling-linkedin" target="_blank" rel="noopener noreferrer">https://engineering.linkedin.com/architecture/brief-history-scaling-linkedin</a></p><p><img src="https://content.linkedin.com/content/dam/engineering/en-us/blog/migrated/data_centers_pops_0.png" alt="A Brief History of Scaling LinkedIn"></p></div><footer class="row docusaurus-mt-lg"><div class="col"><b>Tags:</b><a class="margin-horiz--sm" href="/blog/tags/pinot">Pinot</a><a class="margin-horiz--sm" href="/blog/tags/linked-in">LinkedIn</a><a class="margin-horiz--sm" href="/blog/tags/real-time-data-platform">real-time data platform</a><a class="margin-horiz--sm" href="/blog/tags/realtime">Realtime</a><a class="margin-horiz--sm" href="/blog/tags/analytics">Analytics</a><a class="margin-horiz--sm" 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