With DataFlux Data Management 2.7, the major component of SAS Data Quality and other SAS Data Management solutions, every job has a REST API automatically created once moved to the Data Management Server. This is a great feature and enables us to easily call Data Management jobs from programming languages
Tag: data management
In a previous blog post, I demonstrated combining the power of SAS Event Stream Processing (ESP) and the SAS Quality Knowledge Base (QKB), a key component of our SAS Data Quality offerings. In this post, I will expand on the topic and show how you can work with data from
Have you ever had problems matching data that has typographical errors in it? Because of the nature of arbitrary typos and incorrect spelled words a specific matching technique is required to tackle those cases. SAS Data Quality, with its traditional, in nature deterministic matching approach is by nature not best
SAS Business Data Network is SAS’ solution for managing glossaries of common business terms. This is part of the SAS Data Governance offering as well as bundled with Advanced versions of all SAS Data Management bundles. One thing that is important regarding Data Governance in general, and this solution in
In DataFlux Data Management Studio, the predominate component of the SAS Data Quality bundle, the data quality nodes in a data job use definitions from something called the SAS Quality Knowledge Base (QKB). The QKB supports over 25 languages and provides a set of pre-built rules, definitions and reference data
In DataFlux Data Management Studio, the data quality nodes (e.g., Parsing, Standardization, and Match Codes) in a data job use definitions from the SAS Quality Knowledge Base (QKB). These definitions are based on a locale (Language and Country combination). Sometimes you would like to work with multi-locale data within the
Trusted data is key to driving accurate reporting and analysis, and ultimately, making the right decision. SAS Data Quality and SAS Data Management are two offerings that help create a trusted, blended view of your data. Both contain DataFlux Data Management Studio, a key component in profiling, enriching monitoring, governing
In this post, I continue the journey of getting data profiling results into SAS Visual Analytics. In my first blog I described the process of collecting DataFlux Data Quality profiling metrics to load a datamart. Now we load this datamart into memory (LASR) and then plug a VA report on
REpresentational State Transfer (REST) is an architectural style for designing web services that access a system's resources using HTTP methods. With the release of DataFlux Data Management 2.7 earlier this year, three new REST Application Programming Interfaces (APIs) are now available: Data Management Server Batch Jobs Data Management Server Real-time
This is my first blog post, and the first of a long series around Data Governance. The first thing I want to discuss is the ability to Share DataFlux Data Quality profiling metrics in SAS Visual Analytics. This post will illustrate how to extract profiling data from the DataFlux repository