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professionals who need to know how to deliver Data Warehouse solutions. This document assumes that you are familiar with the concepts of systems and databases. Many topics are not described in this article, but they are also the basis for delivering good Data Warehouse solutions, including system and database design,
The following content is taken from the Internet and sorted out. Terms: Bi (Business Intelligence): Business Intelligence, DW (data warehouse): Data Warehouse. For details, see section Q1. OLTP (on-line transaction processing): Online Transaction Processing It is also known as a transaction-oriented processing syste
First, what is a data warehouse The traditional data warehouse concept is that data warehouse is a structured data environment for decision Support System (DSS) and on-line analysis app
The distribution of data in multidimensional space is always sparse and uneven. At the location where the event occurs, the data is aggregated and the density is large. Therefore, developers of OLAP systems should try to solve the problem of data sparsity and data aggregatio
Introduction to ETL technology: Introduction to ETL, data warehouse, and etl Data WarehouseETL is the abbreviation of Extract-Transform-Load. It is used to describe the process of extracting, transforming, and loading data from the source to the target. ETL is commonly used in data
Tags: instance error log display encryption fill span system log src parameter configurationFirst, the problem found Failed to start data Analysis Service for SQL Server View system log errors as follows: A detailed error is displayed after double-clicking the error: There is an error in the metadata manager. Instantiate from file "\\?\c:\program Files\Microsoft SQL Server\msas11. An error occurred while mssqlserver\
The following content is taken from the Internet and sorted out. Terms: Bi (Business Intelligence): Business Intelligence, DW (data warehouse): Data Warehouse. For details, see section Q1. OLTP (on-line transaction processing): Online Transaction Processing It is also known as a transaction-oriented processing syste
Analytical Processing): Online Analytical ProcessingOLAP was proposed by E. F. Codd in 1993.Definition by the OLAP Council: OLAP is a software technology that enables analysts to quickly, consistently, and interactively observe information from various aspects to gain an in-depth understanding of data, this information is directly converted from raw
3 guys came to a business. The first (data Warehouse) was burly: He brought history and experience, and he could say that most of the words were true. But, in many ways, it is bloated and wasteful in other ways, and people are tired of the costs of the various outcomes. Apache Hadoop entered the same building, claiming to take over the entire market. He preaches big dat
ProcessingOLAP was proposed by E.f.codd in 1993.OLAP Council definition: OLAP is a software technology that enables analysts to quickly, consistently and interactively observe information from all aspects in order to achieve an in-depth understanding of the data, which is translated directly from the original data, an
Data Warehouse--digging in "beer and diapers" 01-5-21 04:19:25 Interlocutor: Host: Cheng Hung--"Computer World" reporter Home: Mengxiao--Renmin University of China School of Information Professor Qi-"Data Warehouse Road" website host it Manufacturers: Yang Shunsheng--NCR Greater China Market and partner g
example in this tutorial, you must install at least the Informix Warehouse Feature client and Informix Dynamic server, and a database server is running (local or remote). This tutorial takes a fictional simplified example of a business scenario in the retail industry. We will design and deploy an Informix data mart for retail companies Sports Stores for sales and cost analysis. This new
PHP-based data warehouse receiving Program (1): php-based data warehouse receiving program A friend asked me to help me develop a program for collecting news information a few days ago. I took some time to write a PHP version and recorded it as needed. When it comes to collection, it is nothing more than obtaining info
, for example, for OLAP analysis, we look for people who do not pay the money to the telecom operator in a timely manner. In general, we will analyze that people with low incomes often do not pay in time. Through analysis, it is found that 71% of the poor who do not pay in time. Data Mining is different. It analyzes the cause by itself. The reason may be that people outside the Fifth Ring Road do not pay th
Microsoft vs. Yahoo! The long-running purchase war may put many people tired of news. But today we see this about Yahoo! The technical news is worth reading: Size matters: yahoo claims 2-petabyte database is World's biggest, busiest. Yahoo! VP Waqar Hasan of disclosure Yahoo! The current data warehouse capacity is 2 Pb. It is used to analyze 0.5 billion of user access behavior every month and process 24 bil
The life cycle approach provides a roadmap for the development of data warehouses, and the overall structure and steps of the life cycle approach are Define Business requirements Technical path Technical Architecture Design Selection and installation of products Data path Dimension modeling Physical design ETL Design and development Bi app Path
(through columns rather than rows), bit-wise query indexing, and data compression. Data analysis and presentation Online analytical Processing (OLAP) is an analytical processing technology that collects information from an enterprise's data collection and uses mathematical operations and
PHP-based data warehouse receiving Program (2): php-based data warehouse receiving program In the previous article, the Program for collecting data into the database based on PHP (ii) mentions the list data on the news information
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
Brief introduction Data integration is a key concept in the Data warehouse. The design and implementation of the ETL (data extraction, transformation and loading) process is an extremely important part of the Data Warehouse solut
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