Mary Kathryn Queen is a Principal Technical Training Consultant in the Global Enablement and Learning (GEL) Team within SAS R&D's Global Technical Enablement Division. Her primary focus is on SAS Data Management technologies, particularly data quality, data preparation, and data governance.
This is a continuation of my previous blog post on SAS Data Studio and the Code transform. In this post, I will review some additional examples of using the Code transform in a SAS Data Studio data plan to help you prepare your data for analytic reports and/or models. Create
SAS Data Studio is a new application in SAS Viya 3.3 that provides a mechanism for performing simple, self-service data preparation tasks to prepare data for use in SAS Visual Analytics or other applications. It is accessed via the Prepare Data menu item or tile on SAS Home. Note: A
SAS Data Preparation 2.1 is now available and it includes the ability to perform data quality transformations on your data using the definitions from the SAS Quality Knowledge Base (QKB). The SAS Quality Knowledge Base is a collection of files which store data and logic that define data quality operations
In this blog post I am going to cover the example of importing data into SAS Viya using Cloud Analytic Services (CAS) actions via REST API. For example, you may want to import data into a CASLib via REST API. This means you can perform an import of data outside
In SAS Viya 3.2, SAS Visual Data Builder provides a mechanism for performing simple, self-service data preparation tasks for SAS Visual Analytics or other applications. SAS Visual Data Builder is NOT an Extract, Transform and Load (ETL) or data quality tool. You may still need one of those tools to
In SAS Viya 3.2, the Self-Service Import provides a mechanism for a user to import (copy) data into the SAS Cloud Analytic Services (CAS) environment. The data is copied as a .sashdat file into the selected CAS Library location when it is imported. Self-Service Import data can only be imported into
SAS® Federation Server provides a central, virtual environment for administering and securing access to your data. It also allows you to combine data from multiple sources without moving or copying the data. SAS Federation Server Manager, a web-based application, is used to administer SAS Federation Server(s). Data privacy is a
SAS® Federation Server provides a central, virtual environment for administering and securing access to your data. It also allows you to combine data from multiple sources without moving or copying the data. SAS Federation Server Manager, a web-based application, is used to administer SAS Federation Server(s). Data privacy is a
Data virtualization is an agile way to provide virtual views of data from multiple sources without moving the data. Think of data virtualization as an another arrow in your quiver in terms of how you approach combining data from different sources to augment your existing Extract, Transform and Load ETL batch
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
