unstructured data warehouse

warehouses, as follows:In general, I agree with the new generation of data warehousing, which is easy to use, efficient, extensible, data sharing, etc., but it is difficult for me to disagree with the comparison, especially in the speed, expansion two. Traditional Data Warehouse, the size of the

server|sql| data Partitioned views join horizontal partitioned data from a group of members so that the data looks like it comes from the same table. SQL Server 2000 distinguishes between local partitioned views and distributed partitioned views. In the local partitioned view, all related tables and views reside on the same instance of SQL Server. In a distribute

Search for "Inmon and Kimball" on Google, and you'll easily find the concepts of these two names, which are two of the best-known ways of data Warehouse architecture. In this ocean of information, however, you will find that almost all of the content can come to a conclusion, that is, to choose between Bill Inmon and Ralph Kimball. But the "Father of Data

Abstract: This article describes the principles, steps, and restrictions of the hierarchical manager, and combines it with Oracle Data warehouse to achieve effective storage, management, and quick browsing of large-scale data. Quick viewing of metadata in the keyword layered Manager 　　 Preface The 21st century is the century of information, and the competition

This article briefly summarizes the following two questions aimed at a quick understanding of the "Data Warehouse"1. What is a "Data Warehouse"?2. What is the difference between "Data Warehouse" and "database"?Here is a detailed e

Compare | data Comparison of the characteristics of nine large data warehouse schemes China Institute of Electronic Equipment Systems Engineering Wang Jiannu Lidompo Powerful companies such as IBM, Oracle, Sybase, CA, NCR, Informix, Microsoft, and SAS have launched their own data warehousing solutions (through acqui

The index of the Data warehouse is a tricky issue. If there are too many indexes, the data is inserted quickly but the query response is slow. If too many indexes, the data import is slow and the data is more storage space, but the query responds faster. The role of indexes

supportedWorkarounds such as SQOOP1. 3. Extracting Data using SqoopIn this example, you use SQOOP1 to extract data from the MySQL library to hive.There are two ways to import data from the source to the Data Warehouse (RDS in this example), you can fetch the

Basic concepts: 1. Multi-dimensional dataset: a multi-dimensional dataset is the main object in Online Analytical Processing (OLAP) and a technology that allows quick access to data in a data warehouse. A multi-dimensional dataset is a collection of data. It is usually constructed from a subset of a

Infobright is a column-based database based on unique patented knowledge grid technology. Infobright is an open-source MySQL Data Warehouse solution that introduces the column storage solution, high-strength data compression, and optimized Statistical Computing (Class Infobright is a column-based database based on unique patented knowledge grid technology. Infobr

server|sqlserver| data The construction and analysis of SQL Server Data Warehouse (i) Basic concepts: 1. Cubes: Cubes are the primary object in online analytical processing (OLAP) and are a technology that allows fast access to data in a data

1. The concept of Data Warehouse began in the 1980s S and first appeared in the book William H. Inmon, known as "the father of Data Warehouse. With Profound recognition and continuous improvement in system research, management, and maintenance. After summing up, enriching, and integrating the experience of multi-row en

Data Three CIF Case-sap BW The main feature is that ERP vendors provide the entire architecture, which saves a lot of design work, and reduces the cost of design and development, encapsulation of the business in BW, reducing the difficulty of long-term maintenance. ERP data resources are very rich and valuable, should be an important source of data warehousing,

In general, two monitored operational components in a data warehouse environment are the use of data and data stored in the Data warehouse. Monitoring data in a

-makingStorage is called Data Warehouse (DW ).W. H. Inmon defines data warehouse as a topic-oriented and integrated data warehouse that supports management decision-making processes..A topic is the standard for

Tags: Data Warehouse optimizationin the absence of a real data warehouse database, now all data warehouses are just a relational database created based on the dimension model, but the Data War