Data orientation refers to how tabular data is represented in a linear memory model such as in-disk or in-memory.The two most common representations are column-oriented (columnar format) and row-oriented (row format).[1][2] The choice of data orientation is a trade-off and a architectural decision in databases, query engines, and numerical simulations.[1] As a result of these tradeoffs, row-orient
MonetDB is a high performance relational database system for analytics RobustMonetDB offers a robust SQL compliant database interface, enabling applications ranging from pure analytics to hybrid transactional/analytical processing. It supports common features including keys, joins, views, triggers, and stored procedures, along with full-ACID properties for concurrent transactions. Additionally, Mo
Zipf's Law on War and Peace.[1] The lower plot shows the remainder when the Zipf law is divided away. It shows that there remains significant pattern not fitted by Zipf law. A plot of the frequency of each word as a function of its frequency rank for two English language texts: Culpeper's Complete Herbal (1652) and H. G. Wells's The War of the Worlds (1898) in a log-log scale. The dotted line is t
SAP Mobile TechnologyBuilt around SAP Mobile Services running on the SAP Business Technology Platform, SAP Mobile Technologies provide SDKs to help you develop your mobile applications. See how the SAP Mobile Technologies community can help you: Connect to peers and SAP experts to exchange information about product solutions and best practices. Search for answers, ask questions, access resources,
In computing, a materialized view is a database object that contains the results of a query. For example, it may be a local copy of data located remotely, or may be a subset of the rows and/or columns of a table or join result, or may be a summary using an aggregate function. The process of setting up a materialized view is sometimes called materialization.[1] This is a form of caching the results
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