etl wikipedia

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2016/11/10 Kettle Overview

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

Business Intelligence software comparison

display efficiency is low. Molap has no limit on a single data model (corner stone). As the volume of the cube increases, the performance will not decrease significantly;The ROLAP data model supports more than GB of data and has no restrictions. query efficiency is greatly affected. Single Data Model ROLAP 50 GB ~ 80 GB or above, but the query efficiency is slow;It is difficult for molap to support a large amount of data. It is difficult to support models with too many dimension levels an

Kettle FAQ (2)

Kettle FAQ (2) Author:Gemini5201314 10. Character SetKettle uses UTF8, which is commonly used in Java to transmit character sets. Therefore, no matter what database you are using or any database type character set, kettle is supported. If you encounter Character Set problems, the following prompts may help you:1. There will be no garbled characters between a single database and a single database, regardless of the type and character set of the original database and target database.2. if you do n

Index of data related to data warehouse

source4) Select the Data Warehouse Technology and Platform5) extract, purify, and convert data from operational databases to Data Warehouses6) Select Access and report tools7) select database connection Software8) Select data analysis and data presentation software9) update the data warehouse Data warehouse data link-- Basic KnowledgeOWB LearningPrinciples, Design and Application of Data Warehouse Electronic Teaching PlanData warehouse and data mining resource SummaryData Warehouse BASICS (Chin

SSIS advanced Content Series 1

1. Introduction Microsoft SQL Server 2005 integration services (SSIS) is a platform for generating high-performance data integration solutions, including data warehouse extraction, conversion, and loading (ETL) packages. (1) Data Import wizard (2) ETL Tool (3) Control Flow Engine (4) Application Platform (5) High-Performance Data Conversion Data Pipeline In ETL

Implement data verification and check in kettle

Implement data verification and check in kettle In ETL projects, input data usually cannot be consistent. There are some steps in kettle for data verification or check. The verification steps can verify the licensed fields based on some calculations; the filtering steps implement data filtering; and The javascript steps implement more complex calculations. Generally, it is useful to view the data in a certain way. Because most

Enhanced Data Warehouse in Oracle9i and Its Value

A data warehouse needs to obtain different types of data from different data sources, and convert these huge amounts of data into available data for users, to provide data support for enterprise decision-making. This process is often called ETL extraction, conversion, and loading ). The extraction process involves extracting data from different sources. For example, some service providers need to extract data from hundreds of websites and then generat

Sybase Data Integration suite introduction (1)

Installation Data integration is introduced in two parts. In the first part, we will detail all the functions of Sybase Data Integration suite, this section focuses on the Data Federation and enterprise information integration (EII) examples. In the second part, we will go deep into copying, searching, real-time events, and ETL data extraction, conversion, and loading ). Note:Currently, ETL is provided ind

Yarn Resource Scheduling settings

The following configuration is two queue default and ETL, default queue allocation 20% processing power , ETL queue allocation 80% Processing power , the user dba can only submit jobs to the default queue, the user ETL can only submit jobs to the ETL queue,dba User groups can only submit tasks to the default queue:ya

Stability testing of performance tests (reliability testing)

a suitable and reasonable stability indicator model based on user scenario modeling (there will be an example later) Test environment Preparation (configuration of the hardware and software environment: the source of the configuration can be the customer environment simulation, the configuration required by the requirements document, or the best configuration test results) Identify key performance indicators (KPIs) for stability The system metrics used to des

Switch: Java Development 2.0: Use Amazon SQS for cloud computing-based message transmission

?) EffectiveExtract, transform, and loadOr ETL technology is a way to manage this. ETL is a very large term that contains a large number of things. (People build a career around this abbreviation, and the company builds a business around it !) In this example, ETL only indicates that I want to analyze some MongoDB data and create a new document based on the data

Linux Add/Remove users and user groups

Display user InformationID Usercat/etc/passwd1, Build Users:Useradd username//New userpasswd username//Set a password for the user2. Build Working GroupGroupadd groupname//new workgroup3, new users at the same time increase the Working groupUSERADD-G groupname username//new user and added to workgroupUseradd parameter:-G belongs to group-D home Directory-s settings used by shell4. Increase the Working Group for existing usersUsermod-g groupname username (This will remove the user from the other

Optimization of traditional data warehouses (for oracle+datastage)

parallel parameters (such as high-volume ETL full amount, DROP index, ETL and create) Degree parameters for collecting statistics There is also the Aleter session enable parallel DML;Insert/*+ Append parallel (table_i, number of parallel) */Into Table_i nologgingSelect/*+ PARALLEL (A, parallel number) PARALLEL (B, number of parallel) PARALLEL (C, number of parallel) */...... nologging are often

Architecture for Oracle data warehouses

The architecture of an Oracle Data warehouse can be divided into three tiers: Data acquisition Layer: Oracle database Enterprise ETL OPTION + Oracle database data Quality option in Oracle database 10g the same software is designed from data model, data Quality management, ETL process design and all the functions of metadata management. All ETL processes are avai

The basic architecture of the Data Warehouse

The purpose of the data Warehouse is to build an integrated data environment for analysis, providing decision support for the Enterprise (decision supports). The basic architecture of data warehouse mainly consists of the process of data inflow and outflow, which can be divided into three layers-- source data, Data Warehouse, data application. The Data warehouse obtains the data from each data source and in the Data warehouse the data transformation and the flow can consider is the

Sybase Data Integration Suite Introduction

Integration suite and highlight the data Federation and Enterprise Information Integration (EII) paradigm. In the second section, we'll go into the details of replication, search, real-time events, and ETL (data extraction, transformation, and loading). Note: Currently, ETL is provided independently of the data integration suite. Components of the Sybase data Integration Suite The DI suite contains all

Format of common file systems

The file system is the short name of a file management system, which, according to Wikipedia, is used to organize how data is stored on storage media and how it is retrieved. Without a file system, the information on the storage medium will be a large piece of information, there is no way to know when a message will end, and can not know when the information began, the management of information will be very troublesome.?? There are many types of file

OWB 11g Progressive Series (0) Oracle Warehouse Builder 11g Architecture and components

This paper is compiled from Oracle documentation Warehouse Builder 11g Architecture and components Oracle Warehouse Builder is an information integration tool that can transform data into high-quality information using an Oracle database. The Oracle database is the central component of the Warehouse Builder architecture because it hosts the code generated by the Warehouse Builder repository and Warehouse Builder. The following illustration shows the interaction of the main components of the W

Resolution SYS local logon or remote login causes ORA-01031 error method

If the database instance is installed on server A, you log on with administrator privileges, using the Sql> conn System/manage as SYSDBA login is fine. But if you set up an ETL account on Server A, make it the remote Desktop users and Users group, as follows: When you log into the database with the SYS account, you will report ora-01031:insufficient privileges error, exit the ETL account, with

Enhance the reusability of SSIS Package processes by setting checkpoints checkpoints

Usually an ETL Package is composed of multiple control flow and data flow, sometimes the steps of ETL may be more, the whole process can be carried out for a long time. Assuming that there are 5 tasks in the ETL Package, the first 3 tasks execute more than 1 hours and fail at the 4th task. If you start again with a 1th task at the next execution, you will have to

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