kettle etl

BI Architecture-bi Key Links ETL related knowledge Main function: Load the data of the source system into the Data Warehouse and data mart layer; The main problem is the complex source data environment, including a wide variety of data types, huge load data volumes, intricate data relationships, and uneven data quality common terminology etl: Data extraction, conversion, loading (extract/ Transform/l

Kettle as an ETL tool, its functions are becoming more perfect, has been the majority of data mining enthusiasts favor. And because he is a Java open source project, in order to meet the needs of the project, it is necessary to study its source code, preferably integrated into the Java project, as a key part of the project running process to use. Well, let's take a look at the deployment and version generat

1. IntroductionRecently, the company started an ETL project, the bottom layer combined with open source kettle for development. So learning kettle Imperative, the use of kettle here do not have to introduce, online has a lot of information. For example: Kettle Chinese commun

ETL Tools Intermittent also touch the informatica,kettle, SSIS, personal feeling info is very powerful but also very expensive, and has some mystery. Kettle version 4.0 has been the user defined Java class components, so that users can write Java code to let Kettle call, which explains a lot of things

In java, you can call the kettle conversion file through the command line, and then call the command line code in java. In this way, it is not seamlessly integrated with the java code logic. This article shows that if kettle5.1 is seamlessly integrated with java code through other APIs, most of the information on the Internet is of a lower version and cannot be run in kettle5.x. 1. Which jar files are required? In java, you can call the

Assembly Area Preparing data, often also called data management, refers to acquiring data and translating it into information, and ultimately submitting that information to the front-end query interface. The background does not provide query services, the Data Warehouse methodology assumes that data access in the background is strictly forbidden, which is the sole purpose of the foreground. The backend part of the data warehouse is often referred to as the staging area (Stagingarea). Data aggreg

ETL: Abbreviation of extraction-transformation-loading. The Chinese name is data.Extract, convert, and load data. ETL extracts data from distributed and heterogeneous data sources, such as relational data and flat data files, to a temporary middle layer for cleaning, conversion, integration, and finally loading data to a data warehouse or data warehouse.Data mart has become the basis for Online Analytical P

of our needs, calling several external class libraries can avoid writing a full kettle plugin. Kettle loads all the jar files in the Libext directory and subdirectories at startup, and if you need to access the class of the custom jar package, you need to put it in the Libext file. Our example is about MD5, which has a corresponding jar package (Apache Commons codec project) from kettle3.2. The codec proje

Accessing kettle internal components using JavaScriptThere are few ETL project requirements that cannot be achieved using kettle standard steps. Let's say that every record needs to be marked as information from that database, and the original database is set through the DB connection, how do I get these settings? (Type, host, port, database name, etc.)There are

Label:Problem Description: 1:oracle database connection suddenly becomes very slow when landing; Sqldeveloper link database is slow; 2:kettle-spoon ETL Program Access database, task execution times: Database connection IO error: Socket Time out error. Solve: 1:lsnrctl status uses commands to view the status of Oracle listening, and after the command executes, the results are displayed for a long time (norma

executed serially.Job jumps: The connection between jobs is called job hopping. The different running results of each job item in the job determine the different execution paths of the job. The operation results of the job item are judged as follows:1, unconditional execution: The next job item executes regardless of whether the previous job item was executed successfully or not. Logo, black wire, with a lock icon on it2, when the run result is true: marked as, green wire, with a hook number3,

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

"));Pointtime.setvalue ("24:00");Pointnumber = 1440;} else {var hourstr = pointtimestr.substr (0, 2);var hour = Str2Num (HOURSTR);var minutestr = Pointtimestr.substr (3, 5);var minute = Str2Num (MINUTESTR);Pointnumber = hour + minute;} At this point, the whole transformation work completed, Summary: If the kettle and other ETL tools are more familiar with the use of E