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Engineering
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August 8, 2025
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Adishesh Kishore
Embedding Essentials: From Cosine Similarity to SQL with Vectors
Adishesh Kishore
August 8, 2025
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Product
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August 5, 2025
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e6data Team
e6data’s Hybrid Data Lakehouse: 10x Faster Queries, Near-Zero Egress, Sub-Second Latency
e6data Team
August 5, 2025
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Engineering
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July 25, 2025
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Rajath Gowda
Building a Modern Data Pipeline in Snowflake: From Snowpipe to Managed Iceberg Tables with Sync Checks
Rajath Gowda
July 25, 2025
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Product
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July 24, 2025
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e6data Team
Improved open-table analytics stack with Iceberg, Polaris, Hudi, Delta Lake
e6data Team
July 24, 2025
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Engineering
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July 18, 2025
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Sweta Singh
Procedural Power, Set-speed: Inside e6data’s Froid-inspired UDF Engine
Sweta Singh
July 18, 2025
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Engineering
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June 27, 2025
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Ankur Ranjan
Iceberg Catalogs 2025: A Deep Dive into Emerging Catalogs and Modern Metadata Management
Ankur Ranjan
June 27, 2025
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Engineering
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June 11, 2025
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Adishesh Kishore
Vector & Semantic Search in the Lakehouse: Faster Insight from Unstructured Data
Adishesh Kishore
June 11, 2025
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Engineering
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June 6, 2025
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Rajath Gowda
Solving Geospatial Analytics Performance Bottleneck: H3 vs Quadkey
Rajath Gowda
June 6, 2025
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Engineering
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April 23, 2025
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e6data Team
e6data’s Architectural Bets: our Head of Engineering’s conversation w/Pete at Zero Prime Podcast
e6data Team
April 23, 2025

Time Series

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Product
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April 16, 2025
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e6data Team
Vector Search in MS Fabric: e6data Powers Unified SQL + Semantic Search at 60% lower cost
e6data Team
April 16, 2025
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Engineering
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April 23, 2025
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Sweta Singh
Eliminating Redundant Computations in Query Plans with Automatic CTE Detection
Sweta Singh
April 23, 2025
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Product
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April 14, 2025
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Rajath Gowda
e6data Integrates with S3 Tables: A New Era in Data Management
Rajath Gowda
April 14, 2025
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Engineering
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April 3, 2025
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Karthic Rao
Beyond Batch: Architecting Fast Ingestion for Near Real-Time Iceberg Queries
Karthic Rao
April 3, 2025
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Product
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April 1, 2025
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e6data Team
e6data with Microsoft Fabric: Faster Queries, Lower Bills—Without Leaving OneLake
e6data Team
April 1, 2025
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Product
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March 31, 2025
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e6data Team
e6data for MS Fabric: 33% Increase in Performance and Optimized Capacity
e6data Team
March 31, 2025
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Engineering
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March 27, 2025
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Karthic Rao
Stateful vs Stateless Stream Processing: Watermarks, Barriers, and Performance Trade-offs
Karthic Rao
March 27, 2025
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Engineering
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March 19, 2025
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Karthic Rao
Scaling Iceberg Writes with Confidence: A Conflict-Free Distributed Architecture for Fast, Concurrent, Consistent Append-Only Writes
Karthic Rao
March 19, 2025
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Engineering
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March 17, 2025
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Karthic Rao
Snappy Vs. ZSTD in Apache Iceberg: A Debate on Fast Writes Amid Small-File Challenges
Karthic Rao
March 17, 2025