Shubham Baldava @cto_datazip
Joined May 2024-
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Only 1 day to go! 🎉 Join us on Aug 28, 8:00 A.M PT for a hands-on deep dive into @ClickHouseDB + @ApacheIceberg ✅ Native writes & compaction ✅ Migration & syncing ✅ Time travel & schema evolution Don’t miss the demos, real-world challenges, and live Q&A. Link in comments!
Optimizing Queries in Apache Iceberg As data grows, queries slow down. Sorting helps, but not always with multi-column filters. That’s where Z-ordering comes in it clusters data, reduces file scans, and speeds up queries. The key is knowing when to apply it. 🧵 A thread
yet another great week at bangalore Attended the @apachekafka Meetup Bangalore and explored how companies are scaling with Kafka in 2025. One highlight was @nutanix showcasing a resequencer using Kafka Streams with RocksDB to handle out-of-order events a really smart…
Hats off to our development team to create the product in just 7 months!😎
Hats off to our development team to create the product in just 7 months!😎
@databricks @DeltaLakeOSS @ApacheHive Now that we’ve laid out the problems, let’s dive into the approach as presented by @cto_datazip OLake processes @ApacheIceberg as its exclusive offering because of these capabilities while solving these challenges end-to-end. How it works is described here 👇
Last weekend, OLake got a stage at the Edge Forum Meetup! The whiteboarding session by Shubham-@cto_datazip showed how OLake streamlines data ingestion into Apache Iceberg faster, more consistent, and easier for engineers and data scientists. Big thanks to the host @Contentstack
Watch @cto_datazip at the @ApacheIceberg NYC Meetup answer a key question: 👉 How does OLake handle write conflicts when multiple workers are running in parallel? #OLake #ApacheIceberg #DataEngineering #ParallelProcessing
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