Understand why managing your data is essential for analytics
This post goes through the steps to build complex models in SAS Model Studio and publish and run them to Hadoop in SAS Viya.
SAS batch jobs can generate many log files that accumulate over time. In this post, we present a SAS program that cleans up old log files on your system.
Did you know that 80 percent of an analytics life cycle is time spent on data preparation? For many SAS users and administrators, data preparation is what you live and breathe day in and day out. Your analysis is only as good as your data, and that's why we wanted
SAS Viya is our latest extension of the SAS Platform and interoperable with SAS® 9.4. There were a number of SAS Viya presentations at SAS Global Forum 2018. In this series, we will review several of the most interesting talks. This post reviews Hadley Christoffels’ talk, A Need For Speed: Loading Data via the Cloud.
The European Union’s General Data Protection Regulation (GDPR) taking effect on 25 May 2018 pertains not only to organizations located within the EU; it applies to all companies processing and holding the personal data of data subjects residing in the European Union, regardless of the company’s location. Here are four selected SAS tools for GDPR that allow you to protect personal data in SAS reports by suppressing counts in small demographic group reports.
The release of SAS Viya 3.3 has brought some nice data quality features. In addition to the visual applications like Data Studio or Data Explorer that are part of the Data Preparation offering, one can leverage data quality capabilities from a programming perspective. Here is an overview of SAS Data Quality 3.3 programming capabilities.
With SAS Viya 3.3, a new data transfer mechanism Multi Node Data Transfer has been introduced to transfer data between the data source and the SAS’ Cloud Analytics Services. Learn more about this feature.
With the release of SAS Viya 3.3, you now have the ability to pass implicit SQL queries to a variety of SQL data sources, including Hive. Here's what happens as users write SAS compliant SQL code.
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
