Reference data is the data used to define and classify other data. Master data is the data about business entities, such as customers and products. Master data provides the context needed for business transactions. While both reference data and master data management provide context for business ac...
Reference data is a special subset of master data that is used for classification throughout your entire organization. It can be used in data management to define the characteristics of an identifier.
z/OS manages data by means of data sets. The term data set refers to a file that contains one or more records. The record is the basic unit of information used by a program running on z/OS.
Relating data is an essential concept when you're diving into the realm of complex app building with Power Apps. It's all about establishing connections between different data sources to enhance functionality and data organization.Consider a travel expense app, you might want one primary record ...
When you add values to a new reference data set, the code is saved exactly as you type it. Reference data sets that were created before this change was introduced are case-insensitive, and any new values added there are saved in uppercase. These reference data sets are marked with a ...
Graph analytics is another commonly used term, and it refers specifically to the process of analyzing data in a graph format using data points as nodes and relationships as edges. Graph analytics requires a database that can support graph formats; this could be a dedicated graph database, or ...
Reference numbers make it easier for customers to interact withcustomer servicerepresentatives. Consumers can communicate questionable transactions to the representative, who can then investigate them through their database to obtain more details about the transactions. For example, a customer may simply r...
Exploratory analysis is used to understand the main characteristics of a data set. It is often used at the beginning of a data analysis process to summarize the main aspects of the data, check for missing data, and test assumptions. This technique involves visual methods such as scatter plots...
public String unsupportedReason() Get the unsupportedReason property: The explanation about why the resource is unsupported by What-If. Returns: the unsupportedReason value.validate public void validate() Validates the instance.withAfter public WhatIfChange withAfter(Object after) Set the after property...
A big data solution includes all data realms including transactions, master data, reference data, and summarized data. Analytical sandboxes should be created on demand. Resource management is critical to ensure control of the entire data flow including pre- and post-processing, integration, in-data...