Ankit Sharma
@hashcode_ankit
Building @_olake | Trader
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We recently hosted a fireside chat with the CTOs of OLake and @Bauplan_labs , diving into the evolving world of data engineering, @ApacheIceberg , and AI in data pipelines. 🎙️ Catch the full conversation here: youtu.be/XOVkaY5MmiQ?si…
Delhi peoples, AQI is going to increase more, farmers are not stopping. Also no one is keeping an eye to stop it. (Reporting from ground) #environemnt #govt #aqi
Iceberg meetup is happening in india
Join us at the Apache Iceberg Meetup in Bangalore, India on November 15th at 10:00 AM IST: luma.com/c6tiloed?tk=1S… Call for Papers is open until November 8th: docs.google.com/forms/d/e/1FAI… @puppyquery, @AWS, @e6data, @_olake, @FireboltHQ, @devrelsquad_ #ApacheIceberg #AI #AIStor…
no it is not
C is NOT a hard language. Most people just don’t have the patience to learn pointers properly.
prev, I posted about syncing millions of records; today, we reached the 1 billion benchmark. Now @_olake syncs 1 billion records every day. 8 months of open source 1.2k+ stars, and adopted by enterprises. #iceberg #data #lake
Yes, having storage compute separated can save a lot. I have seen companies follow hot and cold architecture in warehouses as well just because the requirement is to query the last 1 or 2 year data.
The truth about Big Data that vendors don't want you to know 👇 I'm re-reading this classic blog post from Motherduck CEO Jorgan Tigani titled "Big Data is Dead". Jordan was a founding engineer in Google BigQuery, so this is a high-signal experience-driven blog post. 💎 Here…
A very successful @hacktoberfest so far! We have been joined by over 30 contributors and a lot more pull requests Raised Reviewed Convos driven and merged . The power of open source is always amazing great to see people leading the wave . The rewards dropping soon!
now #1 as contributor on @_olake (fastest data tool syncing millions of records daily) #os #olake #data #iceberg
We’ve contributed an important feature to @ApacheIceberg Go, writing into partitioned tables! The new design uses a fan-out strategy with rolling writers per partition, flushes parquet files efficiently, and supports all partition transforms built on top of @ApacheArrow .
Join us at Bengaluru Streams and Lakehouse Days on Sept 27, 2025, at @Accel Launchpad! Our Co-founder & CTO, Shubham Baldava @cto_datazip , will present on Reimagining Ingestion for @ApacheIceberg sharing insights from building OLake, our open-source high-performance tool.
Wrapped @FOSSUnited 2025, BLR. We showed how OLake makes ingestion to Iceberg 5–500× faster, walked through the stack, and met future contributors. Community > everything. #OpenSource #DataEngineering #ApacheIceberg
New Benchmarks Are In! After countless hours of hard work from our amazing team, OLake now delivers full load sync speeds that are 5×–500× faster than other tools out there. 💡Want to see it in action? Spin it up locally and test the benchmarks yourself! #DataEngineering #Iceberg
We’re coming to Mumbai for AWS Community Day @awsugmum on Oct 11! We’re proud to be the sponsor of the Community Day—great to be part of the global stage. We’re excited to connect and share why we’re the fastest data replication tool in the world for Apache Iceberg
Medallion Architecture, explained by experts at @nutanix : Layered data pipelines, Bronze, Silver, Gold— help teams manage raw, cleaned, and business-ready data efficiently. Key for reliable analytics and scalable lakehouse operations. #DataEngineering #ApacheIceberg
OLake Community Week had an awesome weekend too! 🚀 Our team keeps growing with more engineers and innovators. Every teammate, every Slack member, every GitHub star, and every single code contributor, you’re part of OLake. ❤️ Here’s to more memories & cool features! ✨ #team
Other tools: for your small files, do iceberg compaction @_olake : We write big files only (so compaction is not required at the start) #iceberg #etl
Are people here using or planning to use Iceberg V3? We are planning to use Iceberg in production, just a quick questio before we start the development. Has anybody done the deployment in production, if yes: What are problems you faced? Are the integrations enough to start?
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