teradata enterprise data warehouse

Label: As business data grows, the number of single tables is already billions and the data being queried is getting slower, so consider partitioning the database tables and upgrading the database to SQL Server 2012. There were no more considerations at the time, and the SQL Server Standard Edition version was installed on the server. When testing the data, it is

system. This involves operations such as data cleanup and aggregation. Loads data into a data warehouse or data mart. The process of fetching data from OLTP and legacy data sources a

before making an effective investment. 3, "Parallel development" mode "Parallel development" mode refers to the establishment of data mart and the establishment of a global data warehouse under the guidance of a data model of a global Data

Introduction With the rapid development of China's financial industry, it is an urgent problem for the bank to support the decision analysis by classifying and storing the customer data, analyzing the automatic discriminant of the various factors, and digging out the information needed by the bank managers and the business analyst in the presence of a large amount of data.

unavoidable to encounter how to manage these voluminous data and how to extract the useful information from the commercial banks when they build the management information system. , and the biggest advantage of data warehouse is that it can centralize the business data of different information islands in the

with their own eyes. So there are a lot of mistakes in their view, like they want the results to be faithful to performance metrics, or they want the program to make a difference in the business of their department or company. And you have to jump out of your area of responsibility, from an IT manager's point of view of the user department up to the entire enterprise operation mode, in order to avoid such problems in the development process. In the u

must jump out of your responsibilities. From the perspective of IT managers, you must consider the operation methods of user departments and the entire enterprise to avoid such problems during the development process. In normal OLTP development, you can easily understand business processes. In the Online Analytical Processing (OLAP) field, everything needs to be examined in person. people working around you may not find any misunderstandings about yo

the perspective of IT managers, you must consider the operation methods of user departments and the entire enterprise to avoid such problems during the development process. In normal OLTP development, you can easily understand business processes. In the Online Analytical Processing (OLAP) field, everything needs to be examined in person. people working around you may not find any misunderstandings about your business. Therefore, do not assume that yo

, summary, predefined queries and reports, mapping from the operating environment to the data Warehouse environment, including source data and their content, data segmentation, data extraction, cleanup, Conversion rules and data r

called the second paradigm, and so on. Therefore, Paradigms at all levels are backward compatible.　　What is star mode?　　　　The star schema is a multidimensional data relationship that consists of a Fact Table and a set of dimension tables.. Each dimension table has a dimension as the primary key. All these dimensions are combined into the primary key of the fact table. In other words, each element of the primary key of the fact table is a foreign key

implemented, field definitions of the same meaning must be compatible, so that subsequent implementation of data warehouses will not cause great trouble. Data Warehouse Management: security and privilege management; tracking data updates; data quality inspection; managing

Data ZT: A brief explanation of common nouns in data Warehouse Data Warehouse in the middle of the 80 's, Mr. William H.inmon, the "Father of the warehouse", defined the concept of data