data warehouse design tutorial

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Database Access Data Warehouse access) Parts

warehouse and communicate with the database. You can create three types of DSN: User DSN, which can only be used by you; system DSN ), it can be used by all users of the computing machine. The DSN (F Ile DSN) file saves the DSN information as a file, and allow all users to use the same data base to drive the process sequence. The DSN used in this tutorial must b

Learn about the DB2 data warehouse center

created to help you manage your data warehouse. DB2 includes a tutorial that guides you step by step to set up and create a data warehouse using this tool. I recommend that you find this tutorial in the First Steps and DB2 Inform

The basic architecture of the Data Warehouse

trend analysis, comparative analysis, analysis, and multidimensional data model provides a multidimensional analysis of the data base. Data Mining: based on the business model that has been built in the Data warehouse, but most of the time the

Two major schools of Data Warehouse theory (_bi.old)

The Kimball of Master Ralph: The Inmon of Bill master 1. Brief introduction The architecture design of BI system is the core of Data Warehouse architecture design. In the field of Data Warehouse architecture, there are two sc

Open-source MySQL efficient data warehouse solution: Infobright details _ MySQL

stable: the same SELECT query statement under the conditions of millions, tens of millions, and hundreds of millions of records is faster than ordinary MySQL storage engines such as MyISAM and InnoDB ~ 60 times. Efficient query mainly relies on the specially designed storage structure to optimize the query. However, the optimization effect depends on the database structure and query statement design. Large data

Data Warehouse construction and continuous improvement of data quality

not appear the number of calls, call time and so on. Timeliness of data, including the timeliness of data processing (acquisition, collation, loading, etc.), the timeliness of anomaly detection, and the timeliness of processing and rollback. The Data Warehouse serves the management decision, the

Data Warehouse and enterprise application integration (i)

Data Main content A. Considering the development of data warehouse from the perspective of system and whole Two. Concept and content of CIF Three CIF Case-sap BW Four Data Warehouse and Enterprise application integration Five Summary References Summary The main content o

Introduction to OSFA and data warehouse in Oracle

Application (OFSA) Financial Industry Strategic management and decision support Application system, Oracle Financial Analyzer Financial analysis system. 4. Business Intelligence applications Includes the Oracle Business Information System Enterprise Business Intelligence Application System and Oracle Balanced ScoreCard integrated Balanced ScoreCard application System. 5. Expert Services Includes the Oracle Consulting data

DB2 Data Warehouse Optimization

memory: 2.1.1 Parallelism We learned from section 10.2.1 that DB2 usually runs on SMPServerAnd MPP server cluster environment. For these two environments, the parallel capability of multi-core CPU should be used to improve query performance. In an SMP server environment, a CPU usually has multiple kernels. DB2 can split the work required to process queries into fragments and execute these fragments in parallel, which significantly reduces the query time. Pass DatabaseManagementIf the value of t

[Shanghai] recruiting. Net Senior Software Engineer & BI Data Warehouse Engineer (urgent)

, good and standardized programming habits, and technical document writing habits; Strong sense of responsibility, good cooperation spirit, learning and communication skills; Understand the knowledge and concepts related to business intelligence (BI) product development; Experience in data warehouse or bi project development is preferred. Bi Data

The difference between a data warehouse and a database

present, most of the data warehouse is still using the relational database pipeManagement system. The main difference between a data warehouse and a database is that:(1) database is a transaction-oriented design, the Data

9 Characteristics comparison of large Data Warehouse

data analysis tools (currently supported only on Windows platforms) provide graphical modeling and hypothesis analysis capabilities, Support for visual development and event-driven programming techniques that provide a language compatible with Visual Basic syntax, which supports OCX and Ole;oracle Express Analyzer as a general-purpose, end-user-oriented reporting and analysis tool (currently supports only Windows platforms). The Oracle Discoverer Ad

ETL of Data Warehouse--Practical Summary theory

previous day with the hash of the previous day, this strategy is more complex, described here, For example, a membership table, its primary key is MemberID, and the status of the member is likely to be updated every day, After the first extraction, we generate an alternate table A, containing two fields, the first of which is MemberID, The second is that all the fields except MemberID are stitched together, and then a hash-generated field At the next extraction time, the source table will be th

Open-source MySQL efficient data warehouse solution: Infobright details, mysqlinfobright

InnoDB ~ 60 times. Efficient query mainly relies on the specially designed storage structure to optimize the query. However, the optimization effect depends on the database structure and query statement design. Large data volumes: terabytes of data and billions of records. Data volume storage depends on your own hig

The difference between a database and a data warehouse

Tags: targe LAN causes HTTP extensions three-month partial PST calculationIn short, the database is a transaction-oriented design, the Data Warehouse is a theme-oriented design.Databases generally store online transaction data, and data warehouses typically store historical

The difference between a data warehouse (a few silos) and a database

Label:In short, the database is a transaction-oriented design, the Data Warehouse is a theme-oriented design.Databases generally store online transaction data, and data warehouses typically store historical data.Database design is

Brief summary of Data Warehouse vs Database

differences are as follows:(1) database is a transaction-oriented design, the Data Warehouse is subject-oriented design.(2) database is generally stored online transaction data, Data Warehous

Experts interpret Microsoft Parallel Data Warehouse

, and it can quickly load data into a target table. Many people think that Microsoft's parallel data Warehouse is similar to SQL Server or Oracle's partitioned tables, although the concept of the two sounds like it, but in fact there is a big difference. A partitioned table is one in which you say that a particular area of d

Bank of China Oracle Data Warehouse Solution

Consulting services.6. Customer-centric partnershipsIncludes data warehousing technology drive plans, System integrator drive programs, and data warehousing platform market-driven initiatives.Oracle Data Warehouse includes a complete set of products and services that cover the entire process of

Building a Data Warehouse No. 04: A Summary of logical modeling –1–

Directory Objective Principle Content Summary Preface The previous article described the business Modeling and domain concept modeling in the Data warehouse model design, and then came naturally to the phase of the logical Data Modeling LDM (Logical

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