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Eight-step learning data Migration: How to use ETL tools kettle

First, the purposeMerge tables on different servers onto another server. For example, merge table B on server 1 on table A and server 2 to table C on server 3Requirements: Table A needs to be cropped (removing unnecessary fields), table B needs to add some fieldsIi. Methods of Use(1) Create a new Table C (field that conforms to the actual system design) in the database on server 3(2) Create a new table input, connect to server 1, select the table you want to use by getting the SQL statement, or

ETL Learning Experience: Exploring the essence of ETL in Key Data Warehouses

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 migrat

Import and export of ETL tools-kettle data-database to database

. Hold down the SHIFT key and drag the "table input" icon from "Convert 1" to "table output" to establish a connection. Notice that the arrow is in the opposite direction. 3. Double-click "Table Input" to configure the relevant content Figure 4: Configuring the relevant content in table input Figure 5: Test result diagram Figure 6: Configure the SQL statement to query the specified table. And you can see the records in the table by "preview" Note: You can see the records in the table, which

Introduction to ETL technology: Introduction to ETL, data warehouse, and etl Data Warehouse

the data source, cleans the data, and finally loads the data to the data warehouse according to the pre-defined data warehouse model.Therefore, how enterprises use various technical means and convert data into information and kno

ETL tools vs SQL sorting

Because both of them are used, informatica is easy to manage in the future, especially for data correction. when data is supplemented in the later stage, the data stream is clear at a glance.SQL is efficient, but it is inconvenient to maintain it later. It takes a long time to find a data stream ..

The data increment extraction mechanism in ETL

distributed and heterogeneous data sources, such as relational data and planar data files, to the temporary middle layer for cleaning, transformation, integration and finally loading into Data warehouse or data mart, which is the basis of on-line Analytical processing and

NETAPP 7MTT Tools for migration of stored data

1 NetApp 7MTT Tools for migration of stored data 1.1 7MTT Migration Process 650) this.width=650; "title=" clip_image002 "style=" border-top:0px; border-right:0px; Background-image:none; border-bottom:0px; padding-top:0px; padding-left:0px; border-left:0px; margin:0px; padding-right:0px "bord

About MongoDB and SQL Server using the self-brought tools to realize the rapid migration of data and considerations

Background introduction With the development of business and the change of demand, we pursue the use of different types of databases and give full play to their respective characteristics. If you decide to adopt a new type of database, you need to migrate the existing data to the new database. In this type of requirement, it is particularly important to import data from SQL Server into MongoDB. In the face

ETL Architecture Division test Questions (vii) _ Data analysis

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 pers

ETL (data extraction)

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 existing data resources, which wastes more time and money and loses the best chance to make key business decisions. Therefore, how can enterprises accessUsing various technical m

Data warehouse-ETL

ETL concepts The three ETL letters represent extract, transform, and load, namely, extraction, conversion, and loading. (1) Data Extraction: extract the data required by the target data source system from the source data source sy

Group (embedded ETL Tools) financial statement System Solutions

data from the total data source into the database tables in each subsidiary, at this time the subsidiaries in the development of the report only need to connect their own database tables, so that the control of data rights, but also better the data of the subsidiaries in the various subsidiaries of the database table.

Open source Job scheduling tool to realize open-source datax, Sqoop, Kettle and other ETL tools job batch Automation scheduling

1, Ali Open source software: datax Datax is a heterogeneous data source offline Synchronization tool that is dedicated to achieving stable and efficient data synchronization between heterogeneous data sources including relational databases (MySQL, Oracle, etc.), HDFS, Hive, ODPS, HBase, FTP, and more. (Excerpt from Wikipedia) 2. Apache Open source software: Sqoop

Flexible and effective Data Warehouse solution, part 3rd: Design and implement warehouse ETL process

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. ET

Available for ETL tools under Hadoop--kettle

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 scr

A simple use of ETL tools kettle

The kettle of ETL tools extracts data from one database into another database: 1. Open the ETL folder, double-click Spoon.bat start Kettle 2. Resource pool selection, Connaught no choice to cancel 3. Select Close 4. Create a new transformation 5. Configure the required database 6. The

ETL Technical Tools Kettle Getting started note (i) Kettle connecting Oracle RAC Listener does not currently know of SID Error resolution

Tags: ETL kettle jdbc Oracle RAC1 problem Phenomena:Previously done Kettle connect an Oracle database for table extractionThe table input information for the script is as follows:Error message in the table input report when executing (script uploaded to Linux machine with sh command) :But in the machine with the Sqlplus command login can be successful:2 resolution process:After the problem, the first contact with the source

Why use professional ETL tools?

ETL is responsible for the distribution, heterogeneous data sources such as relational data, flat data files, such as the extraction of the temporary middle tier after the cleaning, transformation, integration, and finally loaded into the data warehouse or

ETL of Data Warehouse--Practical Summary theory

, dimension tables, summary tables, etc. New data needs to be updated to these tables on a daily basis. The procedures for updating these tables (programs) are developed at the very beginning, and each day only needs to pass some parameters, such as dates, to run the programs. 3. Data loading: Personally, each insert data to a table, can be called

ETL Design in BI project of data extraction, cleaning and transformation

is the T (cleaning, conversion) of the part, in general, this part of the workload is the entire ETL 2/3. The loading of the data is typically written directly to the DW after the data has been cleaned. The implementation of the ETL has a variety of methods, commonly used in three kinds, the first is the use of

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