The next step is organizing the dimensions and measures into facts.
下一步就是将维度和测度组织成事实。
By analyzing these questions, we define the dimensions and measures needed to meet the requirements (see Table 1).
通过分析这些问题，我们就定义了需要满足需求的维度和测度(见表1)。
You can arrange dimensions and measures on the dashboard however you like to understand various aspects of your business.
您可以随意在仪表板上安排您的维度和测量，以便理解您的业务的各个方面。
This is the process of grouping dimensions and measures together in a manner that can address the specified requirements.
这是以可以解决指定需求的方式将维度和测度进行分组的过程。
The fact table only contains IDs for referencing dimensions tables, and measures for measuring the changing or performance of all dimension members.
事实表只包含用于引用维度表的ID，以及用于测量所有维度成员变化或性能的测度。
This list should contain the models, dimensions, facts, and measures available, as these will all be used as initial entry points when a user begins analyzing data.
该列表包含可用的模型、维度、事实和测度，因为当用户开始分析数据时，这些都将用作初始的进入点。
You'll need to identify how you want to analyze the data and choose the measures and dimensions of interest.
您需要确认如何分析数据并选择适当的测量和维度。
The evaluation criteria are referred to as measures (a numeric attribute of a fact), and what is being analyzed is referred to as dimensions (a description attribute of a fact).
评估标准称作测度(事实的数字属性)，而所分析的内容称作维度(事实的描述属性)。
Figure 21 shows what db2admin, a user in the United States Sales Managers role, would see if he queried for all the members of the Measures and Retailers dimensions.
图21展示角色UnitedStatesSalesManagers中的一个用户db2admin在查询Measures和Retailers维度中的所有成员时将看到的内容。
On the Dimensional Model page, you can add measures, dimensions, and dimension levels to the data cube.
在Dimensionalmodel页中，您可以向数据立方中添加度量、维度和维度级别。
In the Cubing model, most OLAP objects are generated from the dimensional physical data model in InfoSphere data Architect, such as cube models, facts, dimensions, measures, hierarchies, and levels.
在Cubing模型中，大多数OLAP对象是从InfoSphereDataArchitect中的多维物理数据模型生成的，比如多维数据集模型、事实、维度、度量、分层结构和级别。
It provides insight into process performance, enabling you to analyze KPIs over time and other dimensions and to drill up and down and slice and dice business measures to identify trends.
使用它可以深入了解流程性能，使您能够随着时间的推移分析KPI和其他维度，从而对业务度量切片和分块进行深入研究，以确定发展趋势。
If the multiple measures apply their aggregation functions on the same dimensions and in the same order as each other, the measures can all be calculated in the same statement.
如果多个度量将它们的聚合函数应用于同样的维，而且次序相同，那么可以在同一个语句中计算这些度量。
Together, one set of dimensions and its associated measures make up what is called a fact.
一组维度及其相关的测度共同组成了所谓的事实。
You should be familiar with DB2 cube Views metadata objects, such as cube models, facts objects, dimensions, joins, measures, and attributes.
您应该熟悉DB 2CubeViews元数据对象，比如多维数据集模型、事实对象、维、联结、度量和属性。
Then click import cube definition to import OLAP cube object definition, such as "pre-populate measures" and dimensions from DB2 cube Views into DB2 Alphablox cube.
然后单击Importcubedefinition将olap多维数据集对象定义(比如“pre -populate measures”)和维度从DB 2 cubeViews导入到DB 2Alphablox cube中。
You can then slice and dice your measures by any combination of all three dimensions: loan officer and start date and process state.
然后您可以通过以下三个维度的任意组合来细分您的测量：loanofficer、startdate和process state。
The dynamic inspection system for wheel flat on railway wheel inspects and measures the positions and dimensions online on the basis of the value of impact force on rail by the wheels.
铁路车轮扁疤动态检测系统根据车轮对钢轨冲击力的大小，在线检测车轮扁疤的位置和尺寸。
This report analyses the factors which influence the dimensions of reference state in knitting, dyeing and finishing process. Some measures for the control of reference dimensions have been discussed.
本文研究了编织、染色和整理过程中影响棉针织物基准状态尺寸的各种因素，提出线圈长度对基准尺寸有决定性作用，染整工艺及染整条件对基准尺寸影响很大，应严格控制。
This report analyses the factors which influence the dimensions of reference state in knitting, dyeing and finishing process. Some measures for the control of reference dimensions have been discussed.
本文研究了编织、染色和整理过程中影响棉针织物基准状态尺寸的各种因素，提出线圈长度对基准尺寸有决定性作用，染整工艺及染整条件对基准尺寸影响很大，应严格控制。
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