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| <script>function showSearch(){addPlaceholder();var e,t=document.querySelector(".searchBar");t.classList.remove("disappear"),e=document.querySelector("#iconsBar"),e.classList.add("disappear")}function addPlaceholder(){$("input:text").attr("placeholder","What are you looking for?")}function endSearch(){var e,t=document.querySelector(".searchBar");t.classList.add("disappear"),e=document.querySelector("#iconsBar"),e.classList.remove("disappear")}function blockScroll(){$("body").toggleClass("fixedPosition")}function openMenu(){addPlaceholder(),blockScroll()}</script><div class="clearfix container-main-content"><nav class="page-nav clearfix" data-offset-top=90 data-offset-bottom=500><nav id=TableOfContents></nav></nav><div class="body__contained body__section-no-nav--wide case-study-page"><div class=blog-content><h1>Case Studies</h1><p class=case-study-about>Apache Beam powers many of today’s leading projects, industry-specific use cases, and |
| startups.</p><div class=case-study-list><div class=case-study-card><div class=case-study-card-img><img src=/images/logos/powered-by/linkedin.png loading=lazy></i></div><h3 class=case-study-card-title>Revolutionizing Real-Time Stream Processing: 4 Trillion Events Daily at LinkedIn</h3><p class=case-study-card-description>Apache Beam serves as the backbone of LinkedIn's streaming infrastructure, handling the near real-time processing of an astounding 4 trillion events daily through 3,000+ pipelines and thus powering personalized experiences for LinkedIn’s vast network of over 950 million members worldwide. The adoption of Apache Beam brought about a series of impressive enhancements, including 2x cost optimization depending on the use case, an astounding acceleration from days to minutes in labeling abuse, and more than 6% improvement in detecting logged-in scrapping profiles.</p><div class=quote-block-wrapper><div class=case-study-quote-block><div class=case-study-quote-author><div class=case-study-quote-author-img><img src=/images/case-study/linkedin/bingfeng-xia.jpg></div><div class=case-study-quote-author-info><div class=case-study-quote-author-name>Bingfeng Xia</div><div class=case-study-quote-author-position>Engineering Manager @LinkedIn</div></div></div></div><div class=case-study-quote-block><div class="case-study-quote-author case-study-quote-author--end"><div class=case-study-quote-author-img><img src=/images/case-study/linkedin/xinyu-liu.jpg></div><div class="case-study-quote-author-info case-study-quote-author-info--end"><div class=case-study-quote-author-name>Xinyu Liu</div><div class=case-study-quote-author-position>Senior Staff Engineer @LinkedIn</div></div></div></div></div><a class=case-study-card-learn-more href=/case-studies/linkedin/><span>Learn more</span> |
| <img src=/images/arrow-right.svg alt="Go to the case study"></a></div><div class=case-study-card><div class=case-study-card-img><img src=/images/logos/powered-by/octo.png loading=lazy></i></div><h3 class=case-study-card-title>High-Performing and Efficient Transactional Data Processing for OCTO Technology’s Clients</h3><p class=case-study-card-description>With Apache Beam, OCTO accelerated the migration of one of France’s largest grocery retailers to streaming processing for transactional data. By leveraging Apache Beam's powerful transforms and robust streaming capabilities, they achieved a 5x reduction in infrastructure costs and a 4x boost in performance. The streaming Apache Beam pipelines now process over 100 million rows daily, consolidating hundreds of gigabytes of transactional data with over a terabyte of an external state in under 3 hours, a task that was not feasible without Apache Beam’s controlled aggregation.</p><div class=quote-block-wrapper><div class=case-study-quote-block><div class=case-study-quote-author><div class=case-study-quote-author-img><img src=/images/logos/powered-by/octo.png></div><div class=case-study-quote-author-info><div class=case-study-quote-author-name>OCTO Technology's Data Engineering Team</div><div class=case-study-quote-author-position>Large Retail Client Project</div></div></div></div></div><a class=case-study-card-learn-more href=/case-studies/octo/><span>Learn more</span> |
| <img src=/images/arrow-right.svg alt="Go to the case study"></a></div><div class=case-study-card><div class=case-study-card-img><img src=/images/logos/powered-by/hsbc.png loading=lazy></i></div><h3 class=case-study-card-title>High-Performance Quantitative Risk Analysis with Apache Beam at HSBC</h3><p class=case-study-card-description>HSBC finds Apache Beam to be more than a data processing framework. It is also a computational platform and a risk engine that allowed for 100x scaling and 2x faster performance of HSBC’s XVA pipelines, accelerated time-to-market by 24x, and simplified data distribution for modeling future scenarios with Monte Carlo simulations, powering quantitative risk analysis for forecasting and decision-making.</p><div class=quote-block-wrapper><div class=case-study-quote-block><div class=case-study-quote-author><div class=case-study-quote-author-img><img src=/images/case-study/hsbc/chup_cheng.jpg></div><div class=case-study-quote-author-info><div class=case-study-quote-author-name>Chup Cheng</div><div class=case-study-quote-author-position>VP of XVA and CCR Capital Analytics @ HSBC</div></div></div></div><div class=case-study-quote-block><div class="case-study-quote-author case-study-quote-author--end"><div class=case-study-quote-author-img><img src=/images/case-study/hsbc/andrzej_golonka.jpg></div><div class="case-study-quote-author-info case-study-quote-author-info--end"><div class=case-study-quote-author-name>Andrzej Golonka</div><div class=case-study-quote-author-position>Lead Assistant Vice President @ HSBC</div></div></div></div></div><a class=case-study-card-learn-more href=/case-studies/hsbc/><span>Learn more</span> |
| <img src=/images/arrow-right.svg alt="Go to the case study"></a></div><div class=case-study-card><div class=case-study-card-img><img src=/images/logos/powered-by/project_shield.png loading=lazy></i></div><h3 class=case-study-card-title>Efficient Streaming Analytics: Making the Web a Safer Place with Project Shield</h3><p class=case-study-card-description>Project Shield defends the websites of over 3K vulnerable organizations in >150 countries against DDoS attacks with the mission of protecting freedom of speech. The Apache Beam streaming pipelines process about 3 TB of log data daily at >10,000 queries per second. The pipelines produce real-time user-facing analytics, tailored traffic rate limits, and defense recommendations. Apache Beam enabled the delivery of critical metrics at scale with a ~2x efficiency gain. This data supported Project Shield’s goal of eliminating the DDoS attack as a weapon for silencing the voices of journalists and others who speak the truth. Ultimately, Project Shield’s goal is to make the web a safer place.</p><div class=quote-block-wrapper><div class=case-study-quote-block><div class=case-study-quote-author><div class=case-study-quote-author-img><img src=/images/case-study/projectShield/marc_howard.jpg></div><div class=case-study-quote-author-info><div class=case-study-quote-author-name>Marc Howard</div><div class=case-study-quote-author-position>Founding Engineer @ Project Shield</div></div></div></div><div class=case-study-quote-block><div class="case-study-quote-author case-study-quote-author--end"><div class=case-study-quote-author-img><img src=/images/case-study/projectShield/chad_hansen.png></div><div class="case-study-quote-author-info case-study-quote-author-info--end"><div class=case-study-quote-author-name>Chad Hansen</div><div class=case-study-quote-author-position>Founding Engineer @ Project Shield</div></div></div></div></div><a class=case-study-card-learn-more href=/case-studies/projectshield/><span>Learn more</span> |
| <img src=/images/arrow-right.svg alt="Go to the case study"></a></div><div class=case-study-card><div class=case-study-card-img><img src=/images/logos/powered-by/booking.png loading=lazy></i></div><h3 class=case-study-card-title>Mass Ad Bidding With Beam at Booking.com</h3><p class=case-study-card-description>Apache Beam powers Booking.com’s global ads bidding and performance infrastructure, supporting 1M+ queries monthly for workflows across multiple data systems scanning 2 PB+ of analytical data and terabytes of transactional data. Apache Beam accelerated processing by 36x and expedited time-to-market by as much as 4x.</p><div class=quote-block-wrapper><div class=case-study-quote-block><div class=case-study-quote-author><div class=case-study-quote-author-img><img src=/images/case-study/booking/booking.ico></div><div class=case-study-quote-author-info><div class=case-study-quote-author-name>Booking.com's PPC Team</div><div class=case-study-quote-author-position>Marketing Technology Department</div></div></div></div></div><a class=case-study-card-learn-more href=/case-studies/booking/><span>Learn more</span> |
| <img src=/images/arrow-right.svg alt="Go to the case study"></a></div><div class=case-study-card><div class=case-study-card-img><img src=/images/logos/powered-by/credit-karma.png loading=lazy></i></div><h3 class=case-study-card-title>Self-service Machine Learning Workflows and Scaling MLOps with Apache Beam</h3><p class=case-study-card-description>Apache Beam has future-proofed Credit Karma’s data and ML platform for scalability and efficiency, enabling MLOps with unified pipelines, processing 5-10 TB daily at 5K events per second, and managing 20K+ ML features.</p><div class=quote-block-wrapper><div class=case-study-quote-block><div class=case-study-quote-author><div class=case-study-quote-author-img><img src=/images/case-study/credit_karma/avneesh_pratap.jpeg></div><div class=case-study-quote-author-info><div class=case-study-quote-author-name>Avneesh Pratap</div><div class=case-study-quote-author-position>Senior Data Engineer II @ Credit Karma</div></div></div></div><div class=case-study-quote-block><div class="case-study-quote-author case-study-quote-author--end"><div class=case-study-quote-author-img><img src=/images/case-study/credit_karma/raj_katakam.jpeg></div><div class="case-study-quote-author-info case-study-quote-author-info--end"><div class=case-study-quote-author-name>Raj Katakam</div><div class=case-study-quote-author-position>Senior ML Engineer II @ Credit Karma</div></div></div></div></div><a class=case-study-card-learn-more href=/case-studies/creditkarma/><span>Learn more</span> |
| <img src=/images/arrow-right.svg alt="Go to the case study"></a></div><div class=case-study-card><div class=case-study-card-img><img src=/images/logos/powered-by/intuit.png loading=lazy></i></div><h3 class=case-study-card-title>Powering Streaming and Real-time ML at Intuit</h3><p class=case-study-card-description>We feel that the runner agnosticism of Apache Beam affords flexibility and future-proofs our Stream Processing Platform as new runtimes are developed. Apache Beam enabled the democratization of stream processing at Intuit and the migration of many batch jobs to streaming applications.</p><div class=quote-block-wrapper><div class=case-study-quote-block><div class=case-study-quote-author><div class=case-study-quote-author-img><img src=/images/case-study/intuit/nick_hwang.png></div><div class=case-study-quote-author-info><div class=case-study-quote-author-name>Nick Hwang</div><div class=case-study-quote-author-position>Engineering Manager, Stream Processing Platform @ Intuit</div></div></div></div></div><a class=case-study-card-learn-more href=/case-studies/intuit/><span>Learn more</span> |
| <img src=/images/arrow-right.svg alt="Go to the case study"></a></div><div class=case-study-card><div class=case-study-card-img><img src=/images/logos/powered-by/lyft.png loading=lazy></i></div><h3 class=case-study-card-title>Real-time ML with Beam at Lyft</h3><p class=case-study-card-description>Lyft Marketplace team aims to improve our business efficiency by being nimble to real-world dynamics. Apache Beam has enabled us to meet the goal of having a robust and scalable ML infrastructure for improving model accuracy with features in real-time. These real-time features support critical functions like Forecasting, Primetime, Dispatch.</p><div class=quote-block-wrapper><div class=case-study-quote-block><div class=case-study-quote-author><div class=case-study-quote-author-img><img src=/images/case-study/lyft/ravi_kiran_magham.png></div><div class=case-study-quote-author-info><div class=case-study-quote-author-name>Ravi Kiran Magham</div><div class=case-study-quote-author-position>Software Engineer @ Lyft</div></div></div></div></div><a class=case-study-card-learn-more href=/case-studies/lyft/><span>Learn more</span> |
| <img src=/images/arrow-right.svg alt="Go to the case study"></a></div><div class=case-study-card><div class=case-study-card-img><img src=/images/logos/powered-by/paloalto.png loading=lazy></i></div><h3 class=case-study-card-title>Real-time Event Stream Processing at Scale for Palo Alto Networks</h3><p class=case-study-card-description>Palo Alto Networks is a global cybersecurity leader that deals with processing hundreds of billions of security events per day in real-time, which is on the high end of the industry. Apache Beam provides a high-performing, reliable, and resilient data processing framework to support this scale. With Apache Beam, Palo Alto Networks ultimately achieved high performance and low latency, and reduced processing costs by 60%.</p><div class=quote-block-wrapper><div class=case-study-quote-block><div class=case-study-quote-author><div class=case-study-quote-author-img><img src=/images/case-study/paloalto/talat_uyarer.png></div><div class=case-study-quote-author-info><div class=case-study-quote-author-name>Talat Uyarer</div><div class=case-study-quote-author-position>Sr Principal Software Engineer</div></div></div></div></div><a class=case-study-card-learn-more href=/case-studies/paloalto/><span>Learn more</span> |
| <img src=/images/arrow-right.svg alt="Go to the case study"></a></div><div class=case-study-card><div class=case-study-card-img><img src=/images/logos/powered-by/hop.png loading=lazy></i></div><h3 class=case-study-card-title>Visual Apache Beam Pipeline Design and Orchestration with Apache Hop</h3><p class=case-study-card-description>Apache Hop is an open source data orchestration and engineering platform that extends Apache Beam with visual pipeline lifecycle management. Neo4j’s Chief Solution Architect and Apache Hop’s co-founder, Matt Casters, sees Apache Beam as a driving force behind Hop.</p><div class=quote-block-wrapper><div class=case-study-quote-block><div class=case-study-quote-author><div class=case-study-quote-author-img><img src=/images/matt_casters_photo.png></div><div class=case-study-quote-author-info><div class=case-study-quote-author-name>Matt Casters</div><div class=case-study-quote-author-position>Chief Solutions Architect, Neo4j, Apache Hop co-founder</div></div></div></div></div><a class=case-study-card-learn-more href=/case-studies/hop/><span>Learn more</span> |
| <img src=/images/arrow-right.svg alt="Go to the case study"></a></div><div class=case-study-card><div class=case-study-card-img><img src=/images/logos/powered-by/seznam.png loading=lazy></i></div><h3 class=case-study-card-title>Scalability and Cost Optimization for Search Engine's Workloads</h3><p class=case-study-card-description>Dive into the Czech search engine’s experience of scaling the on-premises infrastructure to learn more about the benefits of byte-based data shuffling and the use cases where Apache Beam portability and abstraction bring the utmost value.</p><div class=quote-block-wrapper><div class=case-study-quote-block><div class=case-study-quote-author><div class=case-study-quote-author-img><img src=/images/marek_simunek_photo.png></div><div class=case-study-quote-author-info><div class=case-study-quote-author-name>Marek Simunek</div><div class=case-study-quote-author-position>Senior Software Engineer @ seznam.cz</div></div></div></div></div><a class=case-study-card-learn-more href=/case-studies/seznam/><span>Learn more</span> |
| <img src=/images/arrow-right.svg alt="Go to the case study"></a></div><div class=case-study-card><div class=case-study-card-img><img src=/images/logos/powered-by/ricardo.png loading=lazy></i></div><h3 class=case-study-card-title>Four Apache Technologies Combined for Fun and Profit</h3><p class=case-study-card-description>Ricardo, the largest online marketplace in Switzerland, uses Apache Beam to stream-process platform data and enables the Data Intelligence team to provide scalable data integration, analytics, and smart services.</p><div class=quote-block-wrapper><div class=case-study-quote-block><div class=case-study-quote-author><div class=case-study-quote-author-img><img src=/images/tobias_kaymak_photo.png></div><div class=case-study-quote-author-info><div class=case-study-quote-author-name>Tobias Kaymak</div><div class=case-study-quote-author-position>Senior Data Engineer @ Ricardo</div></div></div></div></div><a class=case-study-card-learn-more href=/case-studies/ricardo/><span>Learn more</span> |
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