Time-series data is naturally partitioned

A rich source of U.S. data covering demographics, economy, geography, and more.
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Bappy10
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Joined: Sat Dec 21, 2024 5:31 am

Time-series data is naturally partitioned

Post by Bappy10 »

Time-Series Optimized: Its architecture is inherently optimized for time-series data, which is ubiquitous in finance (e.g., tick data, order book data).
Append-Only Segments: Data is often stored in append-only segments, making writes extremely fast as they don't involve complex updates to existing records.
Partitioning:by date or time, allowing queries to quickly narrow down to relevant time windows.
Temporal Joins: Q provides powerful capabilities for temporal joins and operations on time-aligned data.

Integrated Language (Q): Q is a functional, array-processing programming iran phone number list language that is deeply integrated with KDB+. It's not just a query language; it's a full-fledged programming environment.

Conciseness: Q is notoriously terse, allowing complex operations to be expressed in very few characters. This can make it challenging to learn but incredibly powerful for experienced users.
Vectorization: Q operates on entire arrays (columns), enabling highly parallel and efficient computations.
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