etl workflow

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 warehouses, but its objects are not l

ETL TL, short for extraction-transformation-loading. The Chinese name is data extraction, conversion, and loading. ETL tools include: owb (Oracle warehouse builder), Odi (Oracle data integrator), informatic powercenter, aicloudetl, datastage, repository explorer, beeload, kettle, dataspider ETL extracts data from distributed and heterogeneous data sources, suc

As a data warehouse system, ETL is a key link. If it is big, ETL is a data integration solution. If it is small, it is a tool for data dumping. Recall that there have been a lot of data migration and transformation operations over the past few years. However, the work is basically a one-time job or a small amount of data. You can use access, DTS, or compile a small program on your own. However, in the data

Ext.: http://www.cnblogs.com/carysun/archive/2009/01/11/receiveactivity.htmlIf you have ever been in charge of developing an ERP system or OA system, the workflow will not be a stranger to you. A workflow (Workflow) is an abstraction, generalization, and description of the business rules between a workflow and its vari

ETL (extract-transform-load abbreviation, that is, data extraction, transformation, loading process), for enterprise or industry applications, we often encounter a variety of data processing, conversion, migration, so understand and master the use of an ETL tool, essential, Here I introduce a I used in the work of 3 years of ETL tools kettle, the spirit of good t

ETL scheduling development (1) -- writing instructions, etl Scheduling Preface: During database operation and maintenance, files are often transferred between systems to perform operations such as data extraction, conversion, and integration. In addition, statistical scheduling is performed after data integration. Here, I will describe an ETL scheduling developed

ETL scheduling development (5) -- connect to the database to execute database command subroutines and etl Scheduling In ETL scheduling, you need to connect to the database to read and write data. The following subprograms use the input database connection string and database commands (or SQL) to perform the required operations: #!/usr/bin/bash#created by lubinsu

The main indexes of this series of articles are as follows: I. ETL Tool kettle Application Analysis Series I [Kettle Introduction] Ii. ETL Tool kettle Practical Application Analysis Series 2 [application scenarios and demo downloads] Iii. ETL Tool kettle Practical Application Analysis Series III [ETL background process

warehouse in oracle, it seems that only ETL tools are used.In addition, the ETL division of labor in large enterprises is still very fine,Mapping, workflow, monitor, and data processing are completed by different teams. In my previous project, laomei is responsible for mapping and workflow.China only has the monitor permission. It mainly monitors the loading spe

Workflow Notes 2 -- state machine workflow, Workflow workflowState Machine Workflow In the previous Workflow Note 1-Workflow introduction, the flowchart Workflow is introduced. Later, M

Etl tool, kettle implementation loop, etl Tool kettle implementation Kettle is an open-source ETL Tool written in java. It can be run on Windows, Linux, and Unix. It does not need to be installed green, and data extraction is efficient and stable. Business Model: there is a large data storage table in the relational database, which is designed as a parity datab

During database management, extraction, conversion, and loading (ETL, extract, transform, and load) are three independent functions that constitute a simple editing task. First, read the data in the specified source database and extract the required sub-dataset. Then, the conversion function uses rules or drop-down lists to process the acquired data or create connections with other data, so that it can be converted to the desired state. Finally, we us

Reprinted ETL architect interview questions 1. What is a logical data mapping and what does it mean to the ETL team? What is Logical Data ing? What role does it play on the ETL project team? A: Logical Data Map) describes the data definition of the source system, the model of the target data warehouse, and instructions on operations and processing methods to conv

coordination jobsHDFs dfs-put-f coordinator.xml/user/root/(4) Run the coordination jobOozie Job-oozie Http://cdh2:11000/oozie-config/root/job-coord.properties-runFrom the Oozie Web console, you can see the coordinated jobs ready to run, with the status of Prep as shown in.This coordination job starts on July 11, 2016 and executes 14 points per day. The end date is very late, which is set for December 31, 2020. Be aware of the time zone settings. Oozie The default time zone is UTC and does not w

also called a workflow or a task flow. It is more like a workflow. In a workflow, each component is a task. These tasks are executed in a predefined order. You can have branches in the task flow. The execution result of the current task determines which branch to move forward. Data flow is a new concept. Data streams are also called pipelines to solve data conve

For the Data warehouse and ETL knowledge, I am basically a layman. Everything has to start from scratch, take a note, to facilitate the understanding of learning progress.First, let's take a look at the basic definition:Well, some people also called the ETL simple data extraction. At least before the study, the leader told me that you need to do a data extraction tool.In fact, extraction is the key part of

The key technology in the ETL of BI that little thingETL (Extract/transformation/load) is the core and soul of BI/DW, integrating and improving the value of data in accordance with unified rules, is responsible for the completion of data from the data source to the target Data Warehouse transformation process, is the implementation of the data warehouse important steps.The main link in ETL process is data e

involves external calls (SHELL, stored procedures, etc.), with filter filter,Type converter (Express), Listener (Lookup), dispatcher, stored procedure call, connector component (join), and so on. The use of variables and parameters in ETL is more difficult.Some principles: try to use the WHERE clause in SQL instead of the filter. Do not use the Lookup,join component for large tables. The data source uses the bulk method, and so on. Can look at the pr

Second, ETL extraction schemeThe main link in ETL process is data extraction, data conversion and processing, data loading. In order to achieve these achievementsCan, the ETL tool will perform some functional expansion, such as workflow, scheduling engine, rule engine, script support,Statistical information, and so on.

ETL ConsiderationsAs a data warehouse system, ETL is the key link. Said Big, ETL is a data integration solution, said small, is to pour data tools. Recall the work over the years, the processing of data migration, conversion is really a lot of work. But those jobs are basically a one-time job or a small amount of data, using Access, DTS, or making a small program