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Programming Tips

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Gerry NelsonJuly 29, 2015 3

Great new functionality for SAS Administrators in 9.4 M3

SAS 9.4 M3 released in July 2015 with some interesting new features and functionality for platform SAS administrators. In this blog I will review at a very high level the major new features. For details you can see the SAS 9.4 System Administration guide. SAS 9.4 M3 includes a new release

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Programming Tips | SAS Administrators

Teri PatsilarasJuly 22, 2015 2

Use Hub Shared Collections to automatically push VA reports to your users

The SAS Visual Analytics 7.2 release introduces a new look and feel to the Hub with the modern (HTML5) version. It also introduces a new feature, Shared Collections, which allows an administrator to push a Shared Collection to all users’ Hub view, including Guest access. And bonus - it will

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Programming Tips

Marjorie ShelleyJuly 21, 2015 0

What you should know about SAS Factory Miner

On July 14, 2015 SAS released SAS Factory Miner, our latest advanced data mining and machine learning product. This new product provides automated predictive modeling by segment in a high velocity grid enabled environment, allowing modelers to run hundreds of models within minutes and find champion models by segment quickly.

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Data Visualization | Learn SAS | Programming Tips

Leonid BatkhanJuly 16, 2015 4

Integrating SAS reports with Google maps: two-pane solution

➤ DISCLOSURE! In June 2018 Google introduced changes to the way it handles its Maps platform. They now require API key in order to embed a map, plus Google Maps "projects" must now be associated with a billing account. Unless these new Google rules are met, Google maps described in

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Programming Tips | SAS Administrators

Gerry NelsonJuly 15, 2015 5

Where is my stuff? Documenting what is stored in SAS metadata

In a SAS Environment there is a lot of metadata, metadata about configuration such as server definitions, users, groups and roles and metadata about content like data, reports and jobs etc. SAS Administrators often want to report on metadata. They want to know what reports have been developed and where they are stored, what

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Programming Tips | SAS Administrators

Dave NadenJuly 9, 2015 0

Providing multi-machine data for the SAS Environment Manager Data Mart

One of the great things that the new Data Mart will do for you is combine data from all the machines found in a multi-machine deployment into one storage area, where it is used to create many of the reports found in the Report Center. This capability began with the 14w41

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Programming Tips | SAS Administrators

David SternJuly 7, 2015 1

Anonymization for analysts, report designers and information owners

This is my second blog on the topic of anonymization, which I’ve spent some time over the past several months researching. My first blog, Anonymization for data managers, focused on the technical process. Now let’s dive into the role for analysts, report designers and information owners. To analysts and reporting

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Data Management | Programming Tips | SAS Administrators

David SternJuly 2, 2015 7

Anonymization for data managers

I’ve spent some time over the past couple of months learning more about anonymization. This began with an interest in the technical methods used to protect sensitive personally-identifiable information in a SAS data warehouse and analytics platform we delivered for a customer. But I learned that anonymization has two rather different meanings; one in the

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Programming Tips

Marjorie ShelleyJune 29, 2015 6

How sentimental of you! Enabling sentiment analysis in a SAS Visual Analytics word cloud

Word clouds have been available in SAS Visual Analytics for a while now, but recently, sentiment analysis was added to their functionality. For those of you not familiar with word clouds, a word cloud, also known as a tag cloud, is a visual representation of text data. You are probably

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Programming Tips

Ginny PiechotaJune 19, 2015 11

Can you Lag and Lead at the same time? If using the SAS DATA step, yes you can

Within the SAS DATA step, the LAG function is provided to return a variable’s value from a previous data set observation. With certain data criteria, sometimes there is a need to look ahead at the next observation and you would expect to use a LEAD function, but this does not

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