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Modern Data Stack and the Data Chasm — Part II

A Path to Leaner Data Systems

Oct 20, 2023

Modern Data Stack and the Data Chasm — Part II

Oct 20, 2023

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Modern Data Stack and the Data Chasm: Part I

Emergence of Complexity in Data Systems

Sep 13, 2023

Modern Data Stack and the Data Chasm: Part I

Sep 13, 2023

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Running Windowing Queries in Stream Processing

Learn streamability conditions for windowing queries, in ANSI-SQL. Essential for building applications with long running queries

Aug 16, 2023

Running Windowing Queries in Stream Processing

Aug 16, 2023

The Sliding Window Hash Join Algorithm: Efficiently Joining Infinite Streams with Order…

The Sliding Window Hash Join (SWHJ) algorithm joins potentially infinite streams while preserving the order

Aug 2, 2023

The Sliding Window Hash Join Algorithm: Efficiently Joining Infinite Streams with Order…

Aug 2, 2023

Probabilistic Data Structures in Streaming: Count-Min Sketch

This article was originally published on Synnada on July 13, 2023 and is part of our ongoing series on streaming SQL engines and advanced…

Jul 17, 2023

Probabilistic Data Structures in Streaming: Count-Min Sketch

Jul 17, 2023

AI / ML: The Race for Specialized Electricity Supremacy

The AI/ML landscape is reminiscent of a gold rush, where everyone is vying for a stake in the game.

Apr 27, 2023

AI / ML: The Race for Specialized Electricity Supremacy

Apr 27, 2023

Next Frontier: Action-Capable Intelligent Agents

Discover the enabling technologies necessary to deploy action-capable, autonomous intelligent agents at scale.

Apr 25, 2023

Next Frontier: Action-Capable Intelligent Agents

Apr 25, 2023

General-purpose Stream Joins via Pruning Symmetric Hash Joins

Sliding window join for stream processing brings Datafusion a step closer to unified data processing.

Apr 21, 2023

General-purpose Stream Joins via Pruning Symmetric Hash Joins

Apr 21, 2023

Synnada

Synnada

Synnada powers mission-critical real-time data apps w/ unified data processing, online ML & collaborative notebooks via the cloud. Empower data pros!

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