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The purpose of query optimization, which is an automated process, is to find the way to process a given query in minimum time. The large possible variance in time justifies performing query optimization, though finding the exact optimal query plan, among all possibilities, is typically very complex, time-consuming by itself, may be too costly ...
Query rewriting is a typically automatic transformation that takes a set of database tables, views, and/or queries, usually indices, often gathered data and query statistics, and other metadata, and yields a set of different queries, which produce the same results but execute with better performance (for example, faster, or with lower memory use). [1]
Keyword clustering is a fully automated process performed by keyword clustering tools. The term and the first principles were first introduced in 2015 by the Russian search engine optimization expert Alexey Chekushin. [1] The SERP-based keyword clustering tool Just-Magic was released in the same year in Russia.
Some query tools can generate embedded hints in the query, for use by the optimizer. Some databases - like Oracle - provide a plan table for query tuning. This plan table will return the cost and time for executing a query. Oracle offers two optimization approaches: CBO or Cost Based Optimization; RBO or Rule Based Optimization
An approximate nearest neighbor search algorithm is allowed to return points whose distance from the query is at most times the distance from the query to its nearest points. The appeal of this approach is that, in many cases, an approximate nearest neighbor is almost as good as the exact one.
Automated data analysis for visual reports that help identify patterns AI technology in data analysis tools such as IBM Watson or Google's Looker Studio can help you make sense of your business data.
She played a fundamental role in the development of System R, a pioneering relational database implementation, and wrote the canonical paper on relational query optimization. [2] She is a pioneer in relational database management and inventor of the technique of cost-based query optimization.
With more than 200 publications including three books, Moerkotte's research focuses on database systems, especially query optimization. [2] In his early years, he conducted research on deductive databases [1] and together with Alfons Kemper he worked on object-oriented databases when he was employed in Karlsruhe. [6]