difference between ods and data warehouse

SAP smp-a neglected SAP data warehouse (This is the first blog published by Xu Kun.Http://blog.xukun.com/) It is often heard on various occasions, or even complained by customers in person.SAPBefore providingTechnical materialsIt's too tricky.N + nAfter that, I finally thought it would be more appropriate to write it down.J I declare in advance that this article is intendedSAPUsers or partners. F

can be compressed for optimized efficiency and retrieval. In contrast, based on row storage, each domain has different data types, which is ideal for trading processes. In such an environment, it is not feasible to constantly transform the ideal compression algorithm, which means that any compression will probably be a minimum common rule. Another important advantage of a column based approach is that it is entirely based on the amount of

Data mining technology is the automatic or semi-automated method of mining and analysis of a large number of data to create effective models and rules, and enterprises through data mining can better understand their customers, and thus improve their marketing, business and customer service operations. Data mining is an

Big Data Big Data, a collection of data that cannot be captured, managed, and processed by conventional software tools within a manageable timeframe, requires a new processing model to have greater decision-making, insight and process optimization capabilities to accommodate massive, high-growth, and diversified information assets.A database is a

Tags: lightweight differentiate power connection without func charset curd navicatDatabase Summary disadvantages of traditional record data: Hard to save, backup difficult, inconvenient to find database: A warehouse that stores data that describes the basic information of a transaction Pros: 1. Persisting storage 2. Very high reading and writing speed 3. Guarante