The New Stack | Optimizing Data Queries for Time Series Applications
By
NewsFeed /
Company
Mar 07, 2018
Navigate to:
Publication: The New Stack Title: Optimizing Data Queries for Time Series Applications Author: Katy Farmer
Abstract: This article by DevRel at InfluxData Katy Farmer, published in The New Stack, addresses the question of how to optimize data queries for time series applications. Farmer, in her own engaging style, discusses how to avoid “common pitfalls” that often prevent database queries from being smart and performant. The challenges she covers are indexing, query scope, retention policies, and cardinality. She concludes by noting that paying attention to these four challenges can help developers optimize queries and improve application efficiency and performance.
