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Neha Pawar Profile
Neha Pawar

@nehapawar18

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Apache Pinot PMC and Committer. Love dogs and ukuleles. Sometimes funny.

Santa Clara
Joined May 2010
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@nehapawar18
Neha Pawar
3 years
Chatting with @gwenshap on her podcast, about tiered storage for Apache Pinot and other interesting questions 🎙️🎤🍷 Thanks for having me Gwen, this was real fun 💃💃
@gwenshap
Gwen (Chen) Shapira
3 years
New on SaaS Community: @nehapawar18 from @startreedata on the benefits of Tiered Storage for @ApachePinot. Which abstractions helped build it and how they made cost/latency tradeoffs. We also discussed her benchmarks and why they prototyped on the weekend.
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@nehapawar18
Neha Pawar
2 months
Exciting lineup at the Meetup tonight with @Uber @startreedata and @LinkedIn on the innovations in @ApachePinot !
@ApachePinot
Apache Pinot
2 months
Are you Looking forward to tonight’s #ApachePinot engineering meetup at @uber HQ ? • Distributed tracing (Xin Gao & Chen Xu) • Pauseless ingestion (Xiaotian Jiang) • Tail-latency hardening (Praveen C) All in one evening ! #ApachePinot #RealTimeAnalytics #Observability
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@HungryAnkit
Ankit Sultana
1 year
New Paper Summary: "Exploiting Cloud Object Storage for High Performance Analytics" by @DominikDurner et al. Another great paper from TUM with a ton of really cool insights around Object Store performance characteristics.
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@startreedata
StarTree
2 years
Exciting News: @ApachePinot 1.0 is here! 🍷🚀🎉 What started 11 years ago as an internal project @LinkedIn has reached its 1.0 major release! To celebrate, let’s introduce you to Pinot and past milestones in this thread 🧵 Release Blog: https://t.co/FG3hLEGRzY
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@nehapawar18
Neha Pawar
2 years
Just when I thought - I won't post about @ApachePinot during my maternity leave, an ex-colleague gives me this 🍷👶 Thank you @SujaViswesan 🤭
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@gwenshap
Gwen (Chen) Shapira
2 years
I interviewed @ChinmaySoman from @startreedata about his paper on Uber's real-time data architecture and lessons that apply for slightly smaller companies. It will be up at 8am PST tomorrow on https://t.co/vKi72OmWw0 Meanwhile, enjoy this funny incident:
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@gunnarmorling
Gunnar Morling 🌍
2 years
Got asked how stream processing platforms (e.g. Apache Flink, Kafka Streams, Spark Structured Streaming) compare to streaming databases (e.g. RisingWave, Materialize, PranaDB). There's some overlap and similarities, but also differences. Here's some aspects which may help 1/10
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@stonse
Sudhir Tonse
2 years
Good summarization comparing Pinot, Druid and Clickhouse at the #RTASummit. Talk by @ChinmaySoman and Neha Pawar.
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@tlberglund
Tim Berglund
2 years
Epic talk from @nehapawar18 and @ChinmaySoman at #rtasummit comparing ClickHouse, Druid, and Pinot. I didn't get pictures of all the key slides, but here are most of them. You'll want to watch the whole video when it comes out...
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@tlberglund
Tim Berglund
2 years
In @navina_r's packed session on Pinot streaming ingest. #foreheadofdevrel #rtasummit
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@nehapawar18
Neha Pawar
2 years
I think I was so stoked to meet @gwenshap in person, didn't realize I took the picture at a 45 degree angle 😅 So looking forward to your keynote tomorrow at the #RTASummit !
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@criccomini
Chris
2 years
This post is fascinating on a couple levels. It’s packed with info, not the usual marketing fluff. They link to third parties for perf instead of running their own tests. Very smart and feels more trustworthy. Well done @ChinmaySoman & @KishoreBytes. https://t.co/m3k2fbJ2vn
startree.ai
Learn about 3 of the most powerful real-time OLAP databases including Apache Pinot, Druid, and Clickhouse and determine which one is right for your business.
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@ChinmaySoman
Chinmay Soman
2 years
Excited for our talk on comparing @ApachePinot , @druidio and @ClickHouseDB based on our recently published blog: https://t.co/epCvxS5k1R Join @nehapawar18 and me as we unpack the lessons learned: https://t.co/RNu7iC5JMs (reach out for a promo code)
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@nehapawar18
Neha Pawar
2 years
3/ And the intriguing usecases! From finTech, IOT, logistics all the way to signal processing, journalism, Michelin star guides. This event really had submissions from the who's who of data. Thanks @TheDanicaFine for making me a part of this e̶v̶a̶l̶u̶a̶t̶i̶o̶n̶ learning process!
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@nehapawar18
Neha Pawar
2 years
2/ EDAs and integrations containing 🔧 kafka / kinesis / pulsar integrations with kafka-connect debezium pinot / clickhouse flink / kstreams ksqlDB timescaleDB / questDB spark hudi / iceberg Hot topics like designing tiered storage, KRaft, exactly-once semantics, auto-scaling 🔥
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@nehapawar18
Neha Pawar
2 years
1/ Being part of the #Current2023 program committee was quite a fascinating experience! 🤓Got to read abstracts for submissions in #streaming, #architectures, #realtimeanalytics, #casestudies tracks. So interesting to see what data folks are up to -
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@RogerSuffling
Roger Suffling
2 years
Great talk and communication on the cost, performance, and flexibility challenges and how they were solved for Apache Pinot @nehapawar18 #startree @ApachePinot #QConLondon @qconlondon
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@qconlondon
QCon London Software Development Conference
2 years
💡@nehapawar18, Founding Engineer @startreedata, sharing the various ways you can configure and customize which portion of your #data resides locally as tightly-coupled and which moves to the #cloud, giving the best of both worlds: https://t.co/4RNCxJ4WOm #QConLondon #Apache
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@nehapawar18
Neha Pawar
2 years
Join us tomorrow at 9am PST to hear what @ApachePinot will be up to in 2023! 🗓️ We'll have a show-and-tell style meeting, where you'll get to hear from the contributors leading the awesome features 🍷🍷 https://t.co/CuCur2uU8z
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meetup.com
[Link to the event](https://startreedata.zoom.us/j/81721498925?pwd=b2RmWVBlckNTdXFoY21xbFJtOFpCdz09) \-\-\-\-\-\- **For the Community- by the Community.** In this meetup
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@nehapawar18
Neha Pawar
3 years
Almost time for our session at #RTASummit!
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@startreedata
StarTree
3 years
One of our founding engineers, @nehapawar18, joined @thegeeknarrator to talk about Tiered Storage in @ApachePinot. Check out their talk over on YouTube: https://t.co/nJH1edsxKj
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