StarTree’s Post

When demands spiked during the pandemic, food delivery giant Just Eat Takeaway.com turned to StarTree ThirdEye to proactively monitor their business metrics 🔽 In our latest customer video, Leon Graveland (Lead Data Engineer, JustEatTakeaway.com) shares how JustEat had to serve data generated by nearly 100 million users. He describes how StarTree ThirdEye, in combination with StarTree Data Manager, took them from reactive analysis to addressing data issues preemptively. Learn more about StarTree ThirdEye and how to apply it to your own use case: https://stree.ai/3r7liCv #StarTree #Anomaly #Business #Data #ThirdEye #Customer

"When it comes to analyzing data continuously, it's changing in real-time, and that becomes more interesting with the way the world is moving with AI right now." In a recent interview with DBTA's "Big Data Quarterly," our CEO and Co-Founder, Kishore Gopalakrishna, shares his thoughts on observability and the disaggregated stack in real-time analytics. Kishore also discusses the o11y concept and why the space is ripe for AI disruption. Read the full article here: https://lnkd.in/e_qgw5pv #StarTree #O11y #Observability

The Apache Pinot Community is growing, and so is the number of committers that drive the technology forward 🚀 Over the last few weeks, Pinot's Project Management Committee (PMC) has admitted three new Committers: Jiapeng Tao from LinkedIn, Manish S. from StarTree, and Abhishek Sharma from SpotHero. Please join us in congratulating these 3 for all their work and contributions to the community 👏 #ApachePinot #OpenSource #Community

The need for content tailored to users + real-time analytics with Apache Pinot = Real-time personalization at scale 💫 95% of companies will increase their budget for personalizing digital content by 2030. Make sure you're not left behind by leveraging a platform designed to support real-time insights. Apache Pinot is uniquely suited to power personalization through real-time analytics due to its architecture, performance, and flexibility. Read more about the benefits of Pinot for personalization in this guest post by Paul Gillin: https://lnkd.in/g_pYaYhX #Personalization #RealTimeAnalytics #ApachePinot

Last call to join our virtual meetup on Indexing with Apache Pinot tomorrow🚨 In today's world of real-time analytics, optimizing data retrieval at scale is crucial. In tomorrow's meetup, Barkha Herman will explore the various indexing strategies available in Apache Pinot, help you understand how they impact performance, and discuss best practices for selecting and implementing the right index types. This session is perfect for data engineers, architects, and developers looking to optimize their big data systems. Sign up now: https://lnkd.in/euWRtasE #ApachePinot #RealTimeAnalytics #Meetup

💼 The truth is buried deep in the data. Are you ready to uncover it?🧑💻 Mission 3, 𝗝𝗦𝗢𝗡 𝗕𝗼𝘂𝗿𝗻𝗲 𝗜𝗱𝗲𝗻𝘁𝗶𝘁𝘆, of our StarTree Cloud Coding Competition, is here, and it’s yet another chance for you to win one of our grand prizes. Your mission, should you choose to accept it, is to dive deep into a dataset of 7000 NASDAQ-listed stocks and uncover key insights using StarTree Cloud. From analyzing dividends to tracking the highest volume movers, this challenge is all about handling nested JSON data and extracting critical business intelligence 🔍 Sign up to accept your mission and get all the confidential information: https://lnkd.in/etB3AEnb #StarTree #RealTimeAnalytics #CodingChallenge

How can StarTree Cloud help you leverage the power of Apache Pinot while meeting your compliance and security standards 🔐 Data governance is a crucial aspect of any analytics platform. Join Jitender Aswani, StarTree's VP of Engineering, as he speaks about the inherent security found within Apache Pinot itself, and the safeguards added to StarTree Cloud to ensure even higher levels of security and compliance in a cloud-native fully-managed service. Save your free seat for our webinar: https://stree.ai/3BCc1qP #StarTree #Security #DataGovernance

Meet the StarTree All-Stars: Evan Galpin🌟 Evan is an engineering manager for the data platform team at Dialpad, who is passionate about high-scale, low-latency distributed systems. Learn more about him: 𝗤: 𝗪𝗵𝗮𝘁’𝘀 𝘆𝗼𝘂𝗿 𝗳𝗮𝘃𝗼𝗿𝗶𝘁𝗲 𝗣𝗶𝗻𝗼𝘁 𝗳𝗲𝗮𝘁𝘂𝗿𝗲 𝗮𝗻𝗱 𝘄𝗵𝘆? A: 1)Upserts, because it’s so difficult to do at scale with low latency, but so valuable for fast-moving data 2) Hybrid tables + externalized segment production (Being able to reprocess older data en mass without putting stress on the servers is invaluable) 𝗤: 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗮 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗼𝗿 𝗰𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻 𝘆𝗼𝘂’𝗿𝗲 𝗽𝗿𝗼𝘂𝗱 𝗼𝗳? A: 1) Support for managing partial upserts across disparate producers via multiple comparison columns 2) GROUP BY support for filtered aggregations, including support for StarTree index 𝗤: 𝗪𝗵𝗮𝘁'𝘀 𝘀𝗼𝗺𝗲 𝗮𝗱𝘃𝗶𝗰𝗲 𝗳𝗼𝗿 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝘁𝗼 𝗺𝗮𝗸𝗲 𝗮𝗻 𝗶𝗺𝗽𝗮𝗰𝘁 𝗶𝗻 𝘁𝗵𝗲 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆? A: Try to view the Apache Pinot codebase as an extension of your own codebase, or the codebase of another team that you work with. Open Source contributions aren’t made by “a special few,” they’re made by developers that are just like anyone else. Find a pain-point that you have experienced, and try to trace the code for it. It can be a lot easier to get started on something when you have first-hand experience with how you’d like to see the feature operate! #StarTree #Community #ApachePinot

Mission Accomplished! Robert Zych from Raft is the winner of Mission 1 of our StarTree Cloud Coding Competition 🎉 We had many great submissions, but Robert wrote some lightning-fast queries that even beat some of the response times we came up with ourselves when testing ⚡ Mission 2, Funnel Royal, is now active and waiting for you to build an e-commerce conversion funnel using real-time data. Take a look at the details and sign up for your chance to win one of our grand prizes: https://stree.ai/mission #StarTree #RealTimeAnalytics #Competition

BurdaForward, a leading German digital news company, chose StarTree over Elasticsearch to meet their SLA of 5-10 ms 🌟 BurdaForward supports real-time analytics using StarTree Cloud for advertisers, media brands, and consumers. They rely on Apache Pinot and StarTree to consolidate data from 16 publisher sources and serve that data across 100 different applications. The company migrated from Elasticsearch to StarTree and used tiered storage to save on data storage costs. Learn more about their real-time analytics use case: https://lnkd.in/gPfRguU6 #CustomerStory #RealTimeAnalytics #TieredStorage