oracle data warehouse builder

integration architecture of Oracle/MySQL. InfobrightApplicable scenarios Big data analysis applications. Webpage/online analysis, mobile analysis, customer behavior analysis, analysis marketing and advertising Log/event management system. China Telecom detailed ticket analysis and report, System/network security certification records Data Mart. Specific

Warehouse receiving and receiving functions are available in many systems. May be called differently. Some may be the quantity, and some may be the amount. Here, I take the amount as an example to implement warehouse receiving and warehouse receiving in many ways. One is implemented in languages and the other is implemented using triggers. They have their own mer

that it can implement a system called the general manager Information System (EIS. EIS is an application that provides any information that managers need in decision reports by category. In general, the manager will not deal with the problem of data analysis encountered by other users, and they will not process data aggregation for four or five data sources. The

the block, instead of indexing, to accelerate search. Quick response to complex aggregate queries: Suitable for complex analytical SQL queries, such as SUM, COUNT, AVG, and GROUP InfobrightValue Save design costs. No complex data warehouse model design requirements (such as star model and snowflake model), no materialized view, Data Partition, and index cr

and loading the data to the data warehouse. After the data is converted, use the parallel Oracle insertion and loading tool to insert the data to the Oracle database. The primary role

and loading the data to the data warehouse. After the data is converted, use the parallel Oracle insertion and loading tool to insert the data to the Oracle database. The primary role

Materialized View synchronization count 1. Usage Now we need to synchronize some data in the production database to the Data Warehouse. Considering the cost and convenience, we need to regularly refresh the materialized view for data synchronization. 2. Overall Implementation ideas L create a dblink to access the remot

IntroductionThe data warehouse architecture is a branch of the IT architecture. As the core role of data in enterprises increases, the data warehouse architecture becomes increasingly important. The data

Microsoft's Parallel Data Warehouse (Parallel data Warehouse, abbreviated PDW) was released last year with SQL Server 2008 R2, designed to compete with Oracle Exadata and Teradata. PDW a true sense of the ability to mix workloads, users can extend

A Introduced Some "super users" with access to data have learned professional Transact-SQL. The convenience of the Report Builder in SQL Server 2005 Report Services (SSRS) extends to the creation of powerful Transact-SQL queries, making it easier for more users to use it. Their ability to consume system resources is beyond their capabilities, posing a challenge to the database administrator (DBA) in mainta

coexist the argument is absurd, the two architectures should be complementary, we can use together." ” Harrison says it makes sense to choose Kimball when building a data mart because it is relatively simple to understand and provides excellent performance and quick returns. This architecture is designed to deliver data to business users as quickly as they can, and most source systems are not designed to

sqoop jobs. SQOOP1 is a Java-developed, fully client-side driver that relies heavily on JDBC and can import and export data using simple command-line commands. For example:# importSqoop Import--connect jdbc:mysql://localhost/testdb--table person--username Test--password * * * *The above command forms a series of tasks: Generate the SQL code. Executes the SQL code. Generate a map job. Perform a map job.

remains stable, and the implementation and management are simple, requiring minimal management. Commercial guarantee. The first open-source warehouse analysis database supported by the business is the officially recommended warehouse integration architecture of Oracle/MySQL. Use Cases of Infobright Big Data analysis a

, 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

Welcome to the Oracle community forum, and interact with 2 million technical staff to enter the oracle database character set taiwen warehouse receiving question. Today, the imported database field content is taiwen data, which is always displayed as question marks, copy, paste, and display Thai text, insert and displa

According to the author's experience in the Data Warehouse ETL internship in Teradata and Main Street network, we can understand the relationship and difference between them in architecture design. Teradata is generally the enterprise-class data Warehouse, in the Teradata Data