etl workflow

BOS Project Note 9 daysToday's content arrangement:1. Workflow Concept2. Installation process designer plug-in (Eclipse)---- design Flowchart3. Create a activiti Database ( table)4 . activiti API operation Flow1. Workflow Concepts Work Flow (Workflow) , is " automation of part or whole of a business process in a computer application environment " , it is mainly t

SourceQualifier.Filter is used to filter data that has been read by informatic, and can only be filtered using the filter component for text files. 3. The two uses of the lookup component. Cached Lookup and uncashed lookup defaults to Cachedlookup Cached first reads records into memory, and if the Lookup Association table has a larger amount of data than 1 million records, Cachedlookup is not recommended. Cached estimate: The amount of lookup data multiplied by the number of bytes. 4. Normalize

The data increment extraction mechanism in ETL( Incremental extraction is an important consideration in the implementation of Data Warehouse ETL (extraction,transformation,loading, data extraction, transformation and loading). In ETL process, the efficiency and feasibility of incremental updating is one of the key problems of

ETL technical support work are briefly described. After the Data Warehouse is on-line, the ETL group needs to provide technical support for the normal operation of the ETL work. Typically, this technical support work is divided into four levels. 1. The first level of technical support is typically a phone support person, which is a Technical support services win

Microsoft integration services is a platform that can generate high-performance data integration solutions, including extracting, transforming, and loading (ETL) packages for data warehouses. Integration Services includes graphical tools and wizard used to generate and adjust packages; tasks used to execute workflow functions (such as FTP operations), execute SQL statements, and send emails; the data source

GUI design interface, and then can flow in the form of workflow, in doing some simple or complex data extraction, quality testing, data cleansing, data conversion, data filtering and other aspects have a relatively stable performance, the most important we use it skillfully, It has reduced a lot of research and development work and improved our productivity, but the only regret for my. NET developers is that the tool is written in Java. 1. Kettle Con

ETL design and consideration in Bi Projects ETL is a process of extracting, cleaning, and transforming data from a business system and loading it into a data warehouse. It aims to integrate scattered, disorderly, and standardized data in an enterprise, it provides an analysis basis for enterprise decision-making. ETL is an important part of Bi projects. In bi p

. Net workflow project display and code sharing (2) workflow engine and. net workflow After introducing the Form class, we will introduce the workflow engine, which consists of four classes: process, process step, process instance, and process step instance. Process type:1 [Serializable] 2 public class Flow 3 {4 [XmlAt

Note: to learn this article, you need to build on the basic understanding of integration services. If you do not have any knowledge, please refer to step by step to learn Bi (1)-Understanding integration services Target: Import a text file to the execl file through the ETL project. Steps: 1. Create a is project. 2. Double-click the package. dtsx file in the "SSIS packages" folder (this file is the package file) to go to the control flow working direc

ETL specification Overview 1.1 meaning: ETL is the abbreviation of extract, transform, and load. Data extraction: the process of obtaining the required data from the data source. The Data Extraction Process filters out the source data fields or data records that are not required in the target dataset. Data conversion: based on the data structure of the target table, the fields of one or more source data are

One of the goals of the data warehouse is the ability to provide timely, consistent, and reliable data for enhanced business functions.In order to achieve the above objectives, ETL must be continuously improved according to the following three standards: Reliability Availability of Ease of management Subsystem 22--Job Schedulersubsystem 23--Backup Systemsubsystem 24--Recovery and restart systemsubsystem 25--version control systemSubsyste

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 solution. ETL processes are used to extract business data from multiple sources, clean up data, then integrate the data, and load them into the Data Warehouse database to prepare for da

See you share a lot of Hadoop related content, I introduce you to an ETL tool--kettle.Kettle is an ETL tool of Pentaho company Open source, like Hadoop, is also Java implementation, the purpose is to do data integration when the data extraction (Extract), conversion (Transformat), load (loading) work. There are two script files in Kettle, transformation and job,transformation complete the fundamental transf