etl acronym

Server integration services,ssis) is a data integration platform that can be used to extract, transform, load, and so on.For example, for an analysis service, the database engine is an important data source, and how the data in the data source is properly processed and loaded into the analysis service for various analytical processing is the problem that the SSIS service solves.Importantly, the SSIS service can handle a wide variety of data sources efficiently, and in addition to Microsoft SQL

few similar questions, so I have summarized some of them and gradually gained an unformed accumulation, which is roughly recorded as follows. Microsoft may be subject to some restrictions, so the support of many products in China is not very powerful, and there are fewer people engaged in related development. Based on my experience over the years, this article provides some reference projects for your evaluation. According to different situations, the product name mentioned in this article is n

Gradient Dimension Conversion and Its Implementation Author: Chen Li In SQL Server 2005, Bi (Business Intelligence) module functions are greatly enhanced. An important module is called SQL Server Integrated Services (SSIS), which is the SQL Server database integration service, its main function is to extract, convert, and load data from the business database or OLTP database (extract-transform-load, ETL) to the data warehouse ), th

Question: Why Bi, statistics and analysis of massive data through BI solutions, compared with pure tsql statistics, can improve query and analysis performance, in addition, multidimensional analysis can help customers better understand data. Recently, I have been asked a few similar questions, so I have summarized some of them and gradually gained an unformed accumulation, which is roughly recorded as follows. Microsoft may be subject to some restrictions, so the support of many products in Chin

/fill/i0jbqkfcma== /dissolve/70/gravity/center ">The key to the success of traditional bi lies in modeling, from which it can be seen that the data taken from the database and modeling are applied at different levels in different technologies, very complex.and the traditional BI implementation time period is long, the cost is big ... The most important is the success rate is not high, only about 35%.? Risk degree: Data modeling takes a lot of time, resulting in longer project cycles. And because

: Deterministic data analysis: mainly simple data statistics tasks, such as OLAP, attention to rapid response, the implementation of components such as Impala; Exploratory data analysis: Mainly information-related discovery tasks, such as searching, focusing on unstructured full-volume information collection, implementing components such as search; Predictive data analysis: Mainly machine learning tasks, such as logistic regression, focus on the advanced an

. Install On a 64-bit computer on a 64-bit computer. If Integration Services is selected, only the 64-bit runtime and tool are installed. If you must run the package in 32-Bit mode, you must select other options to install the 32-bit runtime and tool: · If the 64-bit computer runs the x86 operating system, choose Business Intelligence Development Studio or "Administrative Tools-complete ". · If the 64-bit computer runs the Itanium operating system, select "Administrative To

\ DB_1 \ RDBMS \ TRACE/wgods_ora_3940.trc h: \ out.txt outputfile explain = etl/etl After running the preceding command, you can view the generated text file.The Code is as follows:TKPROF: Release 10.2.0.1.0-Production on Wednesday May 23 16:56:41 2012Copyright (c) 1982,200 5, Oracle. All rights reserved.Trace file: D: \ ORACLE \ PRODUCT \ 10.2.0 \ DB_1 \ RDBMS \ TRACE/wgods_ora_3940.trcSort options: defa

Tags: mysql backup script1. Backup Scripts#!/usr/bin/envpython #_ *_coding:utf-8_*_ "" @File: backup_db.py @Author: oldtan @Email: [ Emailprotected] @Last modified:20180408 "" "Importos importdatetime from Threadingimportthread host= ' 10.36.1.101 ' user= ' root ' pw= ' 1qaz# EDC ' path= '/mnt/tantianran_mysql_backup/' Now=datetime.datetime.now () NOWSTR= Now.strftime ('%y%m%d ') cleanstr= (Now-datetime.timedelta (days=5)). Strftime ('%Y%m%d ') DBS =[ ' Urun_private_cloud ', ' Urun-asr ', ' A

PM Q: "Vic, which package is now running ETL job, which task is being executed?" "The first time I encountered this problem, I was so confused that I could only bite the bullet and say," Let me see. "This problem is common in project development, but is overlooked by many ETL development engineers, possibly because it is not a proposition that can be directly answered.In large-scale data processing,

Tags: The opening introduction to SQL profilling Task may be that many of us have not really used it in SSIS, so the use of this control may not be well understood. Let's put it another way, assuming that we have a need for some data analysis of some data in a database table, such as statistics on the length of the actual data in each column of the data table, the range of lengths, for example, statistics on the scale of non-empty fields in each data column, the number of rows in the table, rep

duplication of research and development, greatly improve the processing efficiency of large data. Large data need to have data first, data acquisition and storage to solve the problem, data collection and storage technology, with the outbreak of data and the rapid development of large data business, but also in the continuous evolution process. In the early days of large data, or in the early days of many enterprises, only relational databases were used to store core business data, even data wa

Backup scripts#!/usr/bin/envpython#_*_coding:utf-8_*_ "" "@File: backup_db.py@author:oldtan@email:[ Emailprotected] @Last modified:20180408 "" "importosimportdatetimefrom threadingimportthreadfromlogsimportloghost= ' 10.36.1.101 ' USER= ' root ' pw= ' 1qaz#edc ' path= '/mnt/tantianran_mysql_backup/' now= Datetime.datetime.now () nowstr=now.strftime ('%y%m%d ') cleanstr= (now- Datetime.timedelta (days=5)). Strftime ('%y%m%d ') dbs=[ ' Urun_private_cloud ', ' Urun-asr ', ' Ambari ', ' hive ', '

This article outlines the general process of using OWB to create a data warehouse. Oracle's OWB is one of the three most current ETL products. OWB can not only complete data extraction, conversion and loading, but also help users create ROLAP (relational online analysis Process) and MOLAP (multidimensional online) in Oracle database Analysis Process) Data Warehouse objects, data quality management, business intelligence definition, etc.1 Environment C

This article analyzes the ORA-01031 error caused by SYS Local login or remote login, but also provides a ORA-01031 error solution, have encountered the same problem of friends can refer to the solution. if the database instance is installed on server A, you can log on as Administrator and use SQL> conn system/manage as sysdba to log on. But if you create an etl account on server A to make it belong to the Remote Desktop Users and Users groups, as show

OracleCDC (ChangeDataCapture) Overview 1. Incremental data collection overview data collection usually refers to the Extract-Data Extraction Section in the ETL process. In addition to ETL, data is usually transmitted between different application systems. Under certain environmental conditions, data cannot be directly transferred from one system to another, but can only be transmitted as an intermediate med

provider, start or stop provider. To avoid extra overhead, provider does not work all the time, and only starts working when it is. consumer Consumer subscribe to events in real time from the event Trace session or from a log file. The main function of consumer is to provide event Trace Callback. We can design a generic callback to handle all events, or we can design callback for specific events of interest to us. For the callback of common events, we can specify them at opentrace time, and f

Data WarehouseThe purpose of the Data Warehouse is to build an integrated data environment for analysis, providing decision support for the Enterprise (decision supports). In fact, the data warehouse itself does not "produce" any data, at the same time it does not need to "consume" any data, data from outside, and open to external applications, which is why it is called "warehouse", and not called "factory" reasons. Therefore, the basic architecture of data warehouse mainly consists of data infl

in the east.The West, such as uniqueness, density (empty and blank), format, and valid data.EtlThe core function of data integration is to obtain data from the place where the data is currently stored, convert it to a format compatible with the target system, and thenit into the target system. These three steps are called extraction, transformation, and loading (Extract, transform, and Load,etl).1 Profile AnalysisWith Profiling Tools, you can get som

from the data source and ideally, these consumers will interact with only a single data repository, and this repository can provide them with the ability to access any of them.10) message system + Log = Kafka,kafka was born.2.5 Log and ETL, Data Warehouse relationship 2.5.1 Data Warehouse1) A clean, structured, integrated data repository for analysis.2) Although the idea is good, the way to get the data is a bit outdated: periodically get the data fr