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ApachePinot's profile picture. Real-time distributed OLAP datastore. Point at Kafka and start querying. Join our growing community at http://pinot.apache.org

Apache Pinot

@ApachePinot

Real-time distributed OLAP datastore. Point at Kafka and start querying. Join our growing community at http://pinot.apache.org

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내가 좋아할 만한 콘텐츠
Apache Pinot 님이 재게시함
metabase's profile picture.
Metabase
 @metabase
. 8. 28.

Did you know there is an @ApachePinot 🍷 connector? It takes about 5 minutes to connect to, then you can start building dashboards and exploring your data however you want. buff.ly/mZOQL9r

metabase's tweet image. Did you know there is an @ApachePinot 🍷 connector? It takes about 5 minutes to connect to, then you can start building dashboards and exploring your data however you want. buff.ly/mZOQL9r
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ApachePinot's profile picture.
Apache Pinot
 @ApachePinot
. 8. 7.

10 more minutes to go ! GPT‑5 drops at 10 a.m. PST today - Stop of the world event ! Meanwhile, Pinot engineers are clinking glasses. Exciting days for the Apache Pinot community ! @sama

ApachePinot's tweet image. 10 more minutes to go ! GPT‑5 drops at 10 a.m. PST today - Stop of the world event ! Meanwhile, Pinot engineers are clinking glasses. Exciting days for the Apache Pinot community ! @sama
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ApachePinot's profile picture.
Apache Pinot
 @ApachePinot
. 8. 3.

One of the key highlights from the recent meetup was hearing the team from @porterit_ talk about their journey with @ApachePinot I was so impressed with how they evaluated their options: they looked at all the different architectural patterns to find the right way to solve for…

ApachePinot's tweet image. One of the key highlights from the recent meetup was hearing the team from @porterit_ talk about their journey with @ApachePinot I was so impressed with how they evaluated their options: they looked at all the different architectural patterns to find the right way to solve for…
ApachePinot's tweet image. One of the key highlights from the recent meetup was hearing the team from @porterit_ talk about their journey with @ApachePinot I was so impressed with how they evaluated their options: they looked at all the different architectural patterns to find the right way to solve for…
ApachePinot's tweet image. One of the key highlights from the recent meetup was hearing the team from @porterit_ talk about their journey with @ApachePinot I was so impressed with how they evaluated their options: they looked at all the different architectural patterns to find the right way to solve for…
ApachePinot's tweet image. One of the key highlights from the recent meetup was hearing the team from @porterit_ talk about their journey with @ApachePinot I was so impressed with how they evaluated their options: they looked at all the different architectural patterns to find the right way to solve for…
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ApachePinot's profile picture.
Apache Pinot
 @ApachePinot
. 8. 1.

Do not forget ! We are getting together today @ @meeshotech @Meesho_Official HQ , 10:30 AM Saturday IST. Cant wait to hear what folks have built using Apache Pinot.

ApachePinot's profile picture. Real-time distributed OLAP datastore. Point at Kafka and start querying. Join our growing community at https://t.co/s0Tg6jKf8W
Apache Pinot
 @ApachePinot
. 7. 25.

There’s no better place to talk about scale than sitting inside Meesho’s office with folks from @Meesho_Official , @porterit_ , @AngelOne , and @startreedata all in the room, breaking down how they do real-time analytics with Apache Pinot. If you care about speed, scale, and…

ApachePinot's tweet image. There’s no better place to talk about scale than sitting inside Meesho’s office with folks from @Meesho_Official , @porterit_ , @AngelOne , and @startreedata all in the room, breaking down how they do real-time analytics with Apache Pinot. If you care about speed, scale, and…
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ApachePinot's profile picture.
Apache Pinot
 @ApachePinot
. 7. 25.

There’s no better place to talk about scale than sitting inside Meesho’s office with folks from @Meesho_Official , @porterit_ , @AngelOne , and @startreedata all in the room, breaking down how they do real-time analytics with Apache Pinot. If you care about speed, scale, and…

ApachePinot's tweet image. There’s no better place to talk about scale than sitting inside Meesho’s office with folks from @Meesho_Official , @porterit_ , @AngelOne , and @startreedata all in the room, breaking down how they do real-time analytics with Apache Pinot. If you care about speed, scale, and…
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ApachePinot's profile picture.
Apache Pinot
 @ApachePinot
. 7. 22.

Got a question about a specific PR or want to become a Apache Pinot committer ? Join us for Apache Pinot Contributor Call #3 - Hosted by @xiangfu0 & Robert Zych Agenda: 8:30 AM PT – Graceful Node Replacement In cloud-native environments, infrastructure changes are constant.…

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Apache Pinot 님이 재게시함
BdKozlovski's profile picture.
Stanislav Kozlovski
@BdKozlovski
. 7. 22.

How did LinkedIn use a sketch algorithm in Apache Pinot to achieve: • an 88% reduction of data (1TB → 120GB) 🔥 • improve data freshness 50%? • 5x lower p95 latency? 🧵 In this thread, you'll: • learn how to compute audience intersection sizes • see some good memes 😁

BdKozlovski's tweet image. How did LinkedIn use a sketch algorithm in Apache Pinot to achieve: • an 88% reduction of data (1TB → 120GB) 🔥 • improve data freshness 50%? • 5x lower p95 latency? 🧵 In this thread, you'll: • learn how to compute audience intersection sizes • see some good memes 😁
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ApachePinot's profile picture.
Apache Pinot
 @ApachePinot
. 7. 16.

Nailing complex concepts with simple clarity, Tim just gave a masterclass on Apache Iceberg and its spec.

ApachePinot's tweet image. Nailing complex concepts with simple clarity, Tim just gave a masterclass on Apache Iceberg and its spec.
ApachePinot's tweet image. Nailing complex concepts with simple clarity, Tim just gave a masterclass on Apache Iceberg and its spec.
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ApachePinot's profile picture.
Apache Pinot
 @ApachePinot
. 7. 16.

Tim loves open source. He loves Kafka. He loves Pinot. Today he’s here talking about both. The community’s buzzing what will they build next?

ApachePinot's tweet image. Tim loves open source. He loves Kafka. He loves Pinot. Today he’s here talking about both. The community’s buzzing what will they build next?
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ApachePinot's profile picture.
Apache Pinot
 @ApachePinot
. 7. 16.

Very excited for another meetup tonight, the community is excited to talk about Iceberg, Tiered Storage, Real-time & obviously myself (Apache Pinot)

ApachePinot's tweet image. Very excited for another meetup tonight, the community is excited to talk about Iceberg, Tiered Storage, Real-time & obviously myself (Apache Pinot)
ApachePinot's tweet image. Very excited for another meetup tonight, the community is excited to talk about Iceberg, Tiered Storage, Real-time & obviously myself (Apache Pinot)
ApachePinot's tweet image. Very excited for another meetup tonight, the community is excited to talk about Iceberg, Tiered Storage, Real-time & obviously myself (Apache Pinot)
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ApachePinot's profile picture.
Apache Pinot
 @ApachePinot
. 7. 14.

And I started the week by adding a brand new @metabase driver to my repo. Monday blues Click to query Pinot on call Metabase listens Curiosity wins Thank you for the contribution @xiangfu0 github.com/startreedata/m…

ApachePinot's tweet card. Apache Pinot driver for the Metabase business intelligence front-end - startreedata/metabase-pinot-driver
GitHub - startreedata/metabase-pinot-driver: Apache Pinot driver for the Metabase business intell...
출처: github.com
metabase's profile picture. Open source Business Intelligence and Embedded Analytics. 🌟 GitHub: https://t.co/AvOD8jbBIB 📽️ YouTube: https://t.co/eHsYD5c2WB
Metabase
 @metabase
. 7. 14.

It's Monday, go turn curiosity into answers.

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ApachePinot's profile picture.
Apache Pinot
 @ApachePinot
. 7. 13.

Did you know? You don’t have to read docs to understand me. You can read my code , easily - on DeepWiki. Just be careful: You might end up admiring my creators more than me. Am an engineering marvel ! deepwiki.com/apache/pinot #apachepinot

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ApachePinot's profile picture.
Apache Pinot
 @ApachePinot
. 7. 13.

Try joining the Apache Pinot Slack community; there are experienced folks who can help ! slack.pinot.live

ApachePinot's tweet card. Join Apache Pinot on Slack. Powered by Community Inviter. You will get an invitation soon. Check your inbox.
Join Apache Pinot on Slack - Community Inviter
출처: communityinviter.com
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ApachePinot's profile picture.
Apache Pinot
 @ApachePinot
. 7. 11.

Thank you @Uber @LinkedIn @startreedata & most importantly the developers and user community of Apache Pinot for making last night meetup a grand success.

ApachePinot's tweet image. Thank you @Uber @LinkedIn @startreedata & most importantly the developers and user community of Apache Pinot for making last night meetup a grand success.
ApachePinot's tweet image. Thank you @Uber @LinkedIn @startreedata & most importantly the developers and user community of Apache Pinot for making last night meetup a grand success.
ApachePinot's tweet image. Thank you @Uber @LinkedIn @startreedata & most importantly the developers and user community of Apache Pinot for making last night meetup a grand success.
ApachePinot's tweet image. Thank you @Uber @LinkedIn @startreedata & most importantly the developers and user community of Apache Pinot for making last night meetup a grand success.
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ApachePinot's profile picture.
Apache Pinot
 @ApachePinot
. 7. 11.

OpenTelemetry → Jaeger → Kafka → Pinot → Query Gateway. Uber pulls 100+ traces/sec with P99 < 1 s via Scatter-Gather V1. Real-time all the way through. #ApachePinot #RealTimeAnalytics #StreamingData #Observability #DistributedTracing #DataInfrastructure #ApacheKafka @uber

ApachePinot's tweet image. OpenTelemetry → Jaeger → Kafka → Pinot → Query Gateway. Uber pulls 100+ traces/sec with P99 &amp;lt; 1 s via Scatter-Gather V1. Real-time all the way through. #ApachePinot #RealTimeAnalytics #StreamingData #Observability #DistributedTracing #DataInfrastructure #ApacheKafka @uber
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ApachePinot's profile picture.
Apache Pinot
 @ApachePinot
. 7. 11.

Now it’s Praveen from @LinkedIn talking about Predictable Query Latencies during data refresh and host restarts. #apachepinot @Uber #meetup

ApachePinot's tweet image. Now it’s Praveen from @LinkedIn talking about Predictable Query Latencies during data refresh and host restarts. #apachepinot @Uber #meetup
ApachePinot's tweet image. Now it’s Praveen from @LinkedIn talking about Predictable Query Latencies during data refresh and host restarts. #apachepinot @Uber #meetup
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ApachePinot's profile picture.
Apache Pinot
 @ApachePinot
. 7. 11.

Some great discussions with the community. Scale, reliability, ingestion patterns @Uber HQ

ApachePinot's tweet image. Some great discussions with the community. Scale, reliability, ingestion patterns @Uber HQ
ApachePinot's tweet image. Some great discussions with the community. Scale, reliability, ingestion patterns @Uber HQ
ApachePinot's tweet image. Some great discussions with the community. Scale, reliability, ingestion patterns @Uber HQ
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ApachePinot's profile picture.
Apache Pinot
 @ApachePinot
. 7. 11.

With Pauseless Ingestion enabled for a customer, Pinot is handling 40 million events/sec That’s Kafka-to-query freshness without stop-the-world commits. #ApachePinot #RealTimeAnalytics #StreamingData #Observability #DistributedTracing #DataInfrastructure #ApacheKafka

ApachePinot's tweet image. With Pauseless Ingestion enabled for a customer, Pinot is handling 40 million events/sec That’s Kafka-to-query freshness without stop-the-world commits. #ApachePinot #RealTimeAnalytics #StreamingData #Observability #DistributedTracing #DataInfrastructure #ApacheKafka
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ApachePinot's profile picture.
Apache Pinot
 @ApachePinot
. 7. 11.

Segment commits used to stall real-time pipelines: Pinot would pause consumption, build a segment, then resume. Pauseless Ingestion reverses the flow—new segment starts first, old one seals in the background. Resulting zero ingestion gaps even while committing. #ApachePinot

ApachePinot's tweet image. Segment commits used to stall real-time pipelines: Pinot would pause consumption, build a segment, then resume. Pauseless Ingestion reverses the flow—new segment starts first, old one seals in the background. Resulting zero ingestion gaps even while committing. #ApachePinot
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ApachePinot's profile picture.
Apache Pinot
 @ApachePinot
. 7. 11.

Yes, Thats the big reveal. @uber uses me in style for distributed tracing ! I am proud of myself at Scale ! I am blazing fast ! #apachepinot #realtime

ApachePinot's tweet image. Yes, Thats the big reveal. @uber uses me in style for distributed tracing ! I am proud of myself at Scale ! I am blazing fast ! #apachepinot #realtime
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Swami Sundaramurthy @[email protected]

@swamisun
opanitch's profile picture. freelance web developer

Oren Panitch

@opanitch
streamlit's profile picture. Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps -- in only a few lines of code.

Streamlit

@streamlit
druidio's profile picture. Druid is a high performance analytics DB for modern analytic apps. Use Druid when fast query performance, real-time ingest, and high uptime are important.

Apache Druid

@druidio
fteychene's profile picture. Tech things, Organiser @MtpTechHub @SunnyTech_MTP @RdvSpeakers. I code things and talk about it ... #Devops #Rust #FP enthusiast.

Francois Teychene

@fteychene
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alex pucher

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matt_landers's profile picture. Dad, Developer Relations Lead @Google for #GoogleAnalytics, Software Engineer, Co-founder @Covalence_io, former Microsoftie, married to @meeshamerica

Matt Landers

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Yupeng Fu

@richbird9
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Mayank Shrivastava

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Sully 🤠

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pbbakkum's profile picture. API Capabilities @openai, for fun: https://t.co/FabgtjdaT1 — Previously internal ledger @stripe, platform @quizlet

Peter Bakkum

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abfisher0417's profile picture. Data infrastructure engineering @ https://t.co/pKN4XMkP0n. GaTech & USC CS Alum. Trail runner and photography.

Andrew Fisher

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starburstdata's profile picture. End-to-end analytics platform with industry-leading price-performance for both cloud and on-premises workloads, built on OS @trinodb

Starburst

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equijoin's profile picture. I'm no longer active on Xitter. Find me elsewhere: https://t.co/C04FuikE1Y

Brian Olsen

@equijoin
SriniKadamati's profile picture. Building better data tools. #dataviz

Srini Kadamati

@SriniKadamati
thoughtworks's profile picture. Global tech consultancy blending design, engineering and AI to help businesses thrive through innovation.

Thoughtworks

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ron_miller's profile picture. TechCrunch enterprise reporter, Boston sports fanatic. ron@techcrunch.com. https://ron_miller@noc.social

Ron Miller

@ron_miller
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Data Engineering Weekly

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Elon Azoulay

@ElonAzoulay
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Tim Santos

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apachesuperset's profile picture. Modern, open source data exploration & visualization platform 📊. Open Source business intelligence (BI) is here, and here to win!

Apache Superset

@apachesuperset
CMUDB's profile picture. @CarnegieMellon Database Research Group

CMU Database Group

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nielsberglund's profile picture. Hangö pojke. Microsoft Data Platform MVP. Interests: SQL Server, .NET Concurrency, Stream Processing, Relational Data, Big Data, Data Science.

Niels Berglund @[email protected]

@nielsberglund
thos_jones's profile picture. Technology | Statistics | Machine Learning. {textmineR} and {tidylda} for R. President @DataCommunityDC. Tech @IqtLabs @EmergeIqt. he/him. Opinions my own.

Tommy Jones

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DataCommunityDC's profile picture. Data Community D.C. We focus on promoting data and statistical sciences in the Metro #DC area. All things #data are us. #DataWeekDC 2020

Data Community DC

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morsapaes's profile picture. Product @ClickHouse. Streams, bikes and beer.

Marta Paes

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Uday Vallamsetty

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Apache Flink

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Mahesh Chand

@mcbeniwal

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