datastage

The following is the import and export of Datastage8.5 command line, direct login server execute the following command. Instead of importing and exporting DataStage clients, the advantage of using a command-line approach is that you can use shell scripts to import and export the command.1. Import1.1 Import new industry (not existing in the original work space)$DSHOME/.. /.. /clients/istools/cli/istool import-dom dpapp01 - u user name-p password -ar /j

Having been concerned about SSIS performance issues with SQL Server 2005, one of my fellow testers tested it for reference. There is a part of the project data migration work, frankly, from the old system to switch data in the new system model, the old system data sources are more complex and diverse, the new nature is Oracle9.2. This is a one-time job, with SQL naturally is the fastest way, whether it is the speed of development or data transfer. But party a must see the interface, hope this

These years, almost all work with ETL, have been exposed to a variety of ETL tools. These tools are now organized to share with you. An ETL Tool Foreign 1. DataStage Reviews: The most professional ETL tools, expensive, the use of the general difficulty Download Address: Ftp://ftp.seu.edu.cn/Pub/Develop ... tastage.v7.5.1a-iso BT seed Download: http://pan.baidu.com/share/link?shareid=172289uk=67437475 －－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－

), and query and delete logs.Job SchedulingUnder normal conditions, jobs are scheduled throughout the ETL process, and multipart submission and automatic submission are provided.Schedulable Job types1) C program (cleaning), ETL scheduling provides interfaces with C Programs, so that C programs can be scheduled.2) use C-encapsulated SQLLDR to encapsulate oracle sqlldr in a C program for scheduling.3) The PROC Program (merging and conversion) provides corresponding interfaces for the merging and c

Label:At present, Teradata Data Warehouse ETL operation using ELT mode, because the loading is too heavy, the need to transfer the ETL pressure to a dedicated ETL server. For ETL tools, there are already mature commercial/open source tools in the market, such as Informatica's PowerCenter, IBM DataStage, and open source kettle.Here are some of my own thoughts, the starting point is, how to spend a relatively small price to switch the ELT mode to ETL mo

The data warehouse has encountered several problems recently, which are summarized as follows. 1. Migration from mysql to oracle. This is a complicated problem, because we have no plans to invest in an ETL tool such as datastage, so at first I decided to write my own code and import mysql Data into the text, use sqlldr to import data to oracle. This process is not very complicated, but it is annoying because I encountered the following problems: 1.1 N

Client design Studio Sqw tool Cubing Servic Es modeling Intelligent Mining tools Unstructured text analysis tools IBM data Server client Intelligent Miner Visualization cubing Services Client Admin System console command line client Infosphere Warehouse server components contain data servers and application servers, this article describes how to install a data server, and leverages the DB2 database partitioning feature (DB Partition Feature, DPF) constructs the

, how enterprises use various technical means and convert data into information and knowledge has become the main bottleneck for improving their core competitiveness. ETL is a major technical means. How to select the ETL tool correctly? How to correctly apply ETL? Currently, typical ETL tools include Informatica, datastage, owb, and Microsoft DTs ...... Open-source tools include s etl plug-ins. Http://www.cloveretl.org/clover/ Data integration: Quick

ETL (Extract-transform-load, extract, transform, load), data warehousing technology, is used to process the data from the source (previously done projects) through the extraction, transformation, loading to reach the destination (the project is doing). That is, the new project needs to use the data from the previous project database, ETL is to solve this problem. ETL to achieve common points of attention: correctness, integrity, consistency, completeness, effectiveness, timeliness, accessibility

a preliminary modification, and then execute it in mysql.If the data volume is large, you can use datastage to check whether it works. I have never used this tool. If you look at it online, it will be almost feasible. Hope to help you!The problem of reverse engineering when powerDesigner connects to the mysql database I have used MySQL and PD, but have not handled problems like you. It may be useful to you to talk about my opinion.1. All products are

When using datastage for development, the following error occurs: SQL * loader-951: Error calling once/load Initialization ORA-00604: Error occured at recursive SQL Level 1 ORA-00054: Resource busy and acquire with Nowait specified Move out of Google: It may be because the index in the table is in the unusable state --> leading to the index unusable: duplicate keys on unique constraint column. Solution: skip_index_maintenance or rebuild Index I

analysis. At present, most enterprises spend a lot of money and time building online transaction processing OLTP business systems and office automationSystem, used to record various data related to transaction processing. According to statistics, the data volume is every 2 ~ In three years, the data will multiply. This data contains great commercial value, and enterprises generally only focus on the total data volume.2% ~ About 4%. Therefore, enterprises still do not maximize the use of existin

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process of building a building. The most difficult part of the whole project is user demand analysis and model design, and ETL rules design and implementation is the most workload, accounting for the whole project 60%~80%, which is the general consensus from many practices at home and abroad.At present, the typical representative of ETL tools are: Microsoft SSIS (replace the original DTS), Informatica, Datastage, Oracle OWB and ODI, in addition, Sun

-recorded calling area for data validation. 5 , data substitution: For business reasons, invalid data, missing data substitution can be implemented. 6 , Lookup : Seizure of Lost data Lookup Implement Sub-query , and returns the missing fields obtained by other means, guaranteeing the integrity of the field. 7 , establish ETL process of the master FOREIGN Key constraints: Non-dependent illegal data can be replaced or exported to the error data file, to ensure that the primary key unique record lo

In Linux, configure rsh access without a password-Linux Enterprise Application-Linux server application information. The following is a detailed description. There are multiple methods to configure rsh without a password. For example, you can configure/etc/hosts. equiv or generate a. rhosts file for each user. During configuration, it is usually written into a allowed remote computer name (of course, the corresponding IP Address should exist in/etc/hosts). The computer name should be the same as

. Data extraction tools; The data in the business system is extracted, transformed and integrated into the data warehouse, such as Ardent DataStage, Pentaho open source ETL products kettle, ETI and so on. These tools provide only technical metadata and provide little support for business meta data. 2. Front End Display tool: Including OLAP analysis, reports and business intelligence tools, such as Cognos Powerplay, Business objects Bo, and domestic ma

the current comprehensive data on the ODS to control the current operational situation of the enterprise Can meet the real-time monitoring and real-time business needs of enterprises Cannot solve the enterprise's COSCO decision-making requirement Dw Enterprises can analyze historical data in DW for medium and long-term planning Can solve the enterprise's Cosco decision-making needs Inability to meet real-time enterprise monitoring and real-time business needs

ETL Tools: IBM Datastage Informatica PowerCenter Teradata ETL Automation OLAP (On-line Analytical Processing) Microsoft related products: SSAS Olap--rolap--molap Related (to find): OLAP (On-line analysis processing) is a kind of software technology that enables analysts, managers, or executives to access information quickly, consistently and interactively from multiple perspectives to gain a deeper understanding of the data. The goal of OLAP i

IQ as a customer data analysis platform database. According to the technical test, the structure of the redesigned overall system is as follows: The system is a centrally accessed architecture, where branches centrally access the Data Analysis Mart at Headquarters. Cross-line using ETL server DataStage from the business system to extract data to ODS Server DB2 database, and then ETL processing to generate the need for IQ data files to load, in th