Kód kurzu: PIVY31
In this course, you learn to use the SWAT (SAS Wrapper for Analytics Transfer) package to take advantage of the SAS Cloud Analytic Services (CAS) engine in SAS Viya for massively parallel processing (MPP) using familiar Python syntax. You learn about SAS Viya and the CAS engine, how to leverage the strengths of the CAS engine and your local Python client, how to connect Python to CAS, and how to access and load data into CAS’s MPP environment. You then learn to explore, analyze, and prepare the data on the CAS server, taking advantage of the distributed processing power using familiar Pandas API and CAS actions from the SWAT package. Lastly, you learn how to return summarized results from the CAS server to your local Python client for additional processing and visualization using native Python packages.
Odborní
certifikovaní lektori
Mezinárodne
uznávané certifikácie
Široká ponuka technických
a soft skills kurzov
Skvelý zákaznicky
servis
Prispôsobenie kurzov
presne na mieru
Počiatočný dátum: 08.12.2025
Forma: Virtuálna
Dĺžka kurzu: 2 dni
Jazyk: en
Cena bez DPH: 810 EUR
Počiatočný dátum: Na vyžiadanie
Forma: Prezenčná/Virtuálna
Dĺžka kurzu: 2 dni
Jazyk: en/cz
Cena bez DPH: 810 EUR
| Počiatočný dátum |
Miesto konania |
Forma | Dĺžka kurzu |
Jazyk | Cena bez DPH | ||
|---|---|---|---|---|---|---|---|
| 08.12.2025 | Virtuálna | 2 dni | en | 810 EUR | Registrovať | ||
| Na vyžiadanie | Prezenčná/Virtuálna | 2 dni | en/cz | 810 EUR | Registrovať | ||
| G | Garantovaný kurz | ||||||
Data analysts with open source experience who want to take advantage of the Cloud Analytic Services engine (CAS server) in SAS Viya for massively parallel processing using familiar Python syntax
Getting Started
Accessing and Managing Data
Exploring, Analyzing, and Preparing Data
Doing More with Python and SAS Viya
Before taking this class, you should have experience writing Python programs for data analytics. Familiarity with JupyterLab is a plus but not required. There are no SAS prerequisites.
pruduktová podpora
