etl
- 网络加载；抽取转化装载(Extract， Transform and Load)；数据抽取
etletl
加载
抽取、转移和加载（ETL）是指这种过程：从操作数据源或者外部数据源抽取数据，然后转换数据（包括数据清理、聚合、汇总 …
抽取转化装载(Extract, Transform and Load)
ETL（extract, transform and load）产品乍看起来似乎并不起眼，单就此项技术本身而言，几乎也没什么特别深奥之处，但是在 …
数据抽取
数据抽取模块采用数据抽取(ETL)技术，通过后台编程，将从码头管理系统以及其它系统中的源数据进行抽取，载入到中间数据 …
数据整合
...I），BI的基础是数据整合。数据整合及商业智能是后信息化时代的必然，拥有一套性能强大，使用方便的数据整合（ETL）平 …
提取转换加载(Extract Transform Load)
Depreciation key-折旧码---开百网... ... > Navigation Attribution- 导航属性 > ETL- 提取转换加载 > Indexes- 索引 ...
1
Is the name of the ETL step or process that you are trying to promote.
是您试图升级的ETL步骤或过程的名称。
2
Given that ETL is just a small part of EII, you can imagine the scope and the severity of the point-to-point integration problem.
考虑到ETL仅仅是EII的一小部分，所以您可以想象端对端集成问题的范围和严重性。
3
Unlike ETL and data replication, event publishing does not know where the data is going and how it will be used.
和ETL以及数据复制不同，事件发布并不清楚数据的去向以及如何使用数据。
4
and e, converting data into a standard format by using an ETL engine module and transmitting the standard format into the system.
ETL引擎模块把数据转化为一个标准的格式，并传递到本系统中。
5
Another way is to have the extract, transform, and load (ETL) process update the summary table as it loads the fact table.
另一种方法是使提取、转换和加载（ETL）流程在加载事实表时更新汇总表。
6
Moving data to target tables in the central data warehouse is usually the final step of an ETL process .
将数据移至中心数据仓库中的目标表通常是ETL过程的最后步骤。
7
Providing this sort of information involves an ETL-like process that happens offline.
提供这种信息需要一个离线的ETL式流程。
8
The entire ETL process can be significantly shortened to the point where real-time BI can be realized.
整个ETL过程可以大大缩短，并实现实时BI。
9
IBM InfoSphere DataStage enables firms to extract, transform, and load (ETL) data from a variety of sources into a data warehouse.
IBMInfoSphereDataStage使公司能够从各种源提取和转换数据，并将数据装载到数据仓库中。
10
What I stress studied are data cleaning, data type transforming, multithreading running model of data migration, etc.
其中重点研究了ETL的数据清洗、数据类型转换、多线程运行模型等问题。
11
In considering these recommendations, keep in mind possible impacts of these recommendations on the performance of ETL work.
在考虑这些建议时，要留意这些建议对ETL工作的性能的影响。
12
Which data loading approach to use really depends on the business circumstances; it should be specified in ETL design documents.
使用哪种数据装入方法取决于业务环境；应在ETL设计文档中指定装入方法。
13
The issue needs to be addressed with a scalable ETL architecture.
这个问题需要用一个可伸缩的ETL架构来解决。
14
A third method is to have the summary tables rebuilt after the ETL process using SQL SUM and aggregate functions.
第三种方法是在ETL流程之后使用SQLSUM和汇总函数来重构汇总表。
15
CRISP-DM reference focuses on data extraction, transformation, loading the technical implementation of the entire ETL process.
参照CRISP-DM重点讨论了数据抽取、转换、加载技术整个ETL的实现入程；
16
Metadata management also needs to incorporate SSO, ETL, federation, quality, search, versioning, workflow and storage persistence.
元数据管理还要将SSO、ETL、联合、质量、搜索、版本控制、工作流和储存持久性结合在一起。
17
Business Intelligence Development Studio includes the Integration Services project for developing ETL solutions.
BusinessIntelligenceDevelopmentStudio包括用于开发ETL解决方案的IntegrationServices项目。
18
Finally, the staff member analyzes the metadata information about the last ETL job LOAD_SALES_SUM, populating the summary table.
最后，分析最后一个ETL作业LOAD_SALES_SUM的元数据信息，这个作业填充汇总表。
19
An external system (usually a result of an ETL process) deposits UMF files in a slot.
外部系统（通常是ETL过程的结果）将UML文件存放在一个数据槽中。
20
As you might expect, there are several ways to program an ETL job for this scenario.
正如您所预料的，有多种方式为本场景编写ETL任务。
21
Designing ETL jobs (or data flows) is an important aspect of integrating XML into data warehouse environments.
设计ETL任务（或数据流）是将XML集成到数据仓库环境的重要方面。
22
Merge is especially useful in data warehouse (ETL) environments where transaction tables are merged with bigger warehouse tables.
Merge在数据仓库环境（ETL）中特别有用，将其中的事务表合并到更大的仓库表中。
23
The first step is to design an ETL job which reads input from a source file, and has a Java transformer stage to perform transformations.
第一步是设计一个ETL作业，它可以从源文件读取输入，并拥有一个JavaTransformerStage来执行转换。
24
Manage ETL and data feed schema database objects including tables, indexes, views, constraints, db links, jobs and snapshots.
ETL和数据传送管理架构的数据库对象包括表，索引，视图，约束，数据库链接，就业和快照。
25
This section uses two ETL jobs to illustrate the steps to look up the Teradata data based on the input records.
本节将使用两个ETL作业演示根据输入记录查找Teradata数据的步骤。
26
This section uses a simple ETL job to illustrate the steps necessary for loading data into Salesforce. com.
本节使用一个简单的ETL任务来演示将数据装载到Salesforce.com中的必要步骤。
27
Experience in BI, Data Mining, ETL, large scale data warehouse implementation is an asset.
最好有商业智能、数据挖掘、ETL、大型数据仓库的实现经验。
28
The benchmark may not be including the ETL time for loading the data, partitioning data, and building indexes.
基准不得包括ETL数据的装船期限、分区数据，建设指标。
29
The main work is as follows: First, study the concept and character of data warehouse, data mart and ETL for the theoretical fundation.
工作主要包括以下内容：首先对数据仓库、数据集市与ETL的概念特点等进行研究，得到理论基础；
30
WebSphere DataStage is an inherently flexible data consolidation tool that can natively support ETL, ELT, and TEL topologies.
WebSphereDataStage数据整合工具天生就具有很好的灵活性，可以为ETL、ELT和TEL拓扑提供固有支持。