Intelligent Decisioning SAS Intelligent Decisioning helps organizations manage data, business rules, analytical models, and optimization techniques.UPDATE, 11 February 2021. Getting Started with SAS Viya for Lua Lua APIs for using SAS Viya CAS actions Getting Started with SAS Viya for Java™ Java APIs for using SAS Viya CAS actions Since reality is real-time, streaming analytics from SAS ESP is a crucial component of intelligent realities. It can make a worker better by displaying information from the IoT in the physical reality. Intelligent Realities An intelligent reality is a technologically enhanced reality that improves human cognitive performance and judgement. Finally, the functions facilitate the management and governance of data assets and their relationships. You can also cleanse, prepare, and transform your data. SAS Data Management for developers SAS Data Management helps transform, integrate, govern and secure data while improving its overall quality and reliability.ĭata Management on SAS Viya for developers Data Management on SAS Viya allows developers to load, import, and profile data using an IDE or via REST APIs.
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Mobile SDK The SAS SDK for iOS and SAS SDK for Android are Software Development Kits (SDKs) that you use to create your own mobile apps to access content on your SAS Visual Analytics server
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Getting Started with SAS Viya for R Combine R language functions with SAS through various code libraries. Getting Started with SAS Viya Programming Access the capabilities of the SAS Viya through Cloud Analytic Services (CAS) actions for data access and analytics, run directly from SAS applications. Python SWAT The SAS Scripting Wrapper for Analytics Transfer (SWAT) is a package developed to allow the Python interface to access the SAS Viya platform. Using ESPPy, you can connect to an ESP server and interact with projects and their components as Python objects. SAS ESPPy Library The ESPPy package enables you to create SAS Event Stream Processing (ESP) models programmatically in Python. SAS DLPy Library SAS DLPy is a high-level open-source package for the Python APIs that are created for the SAS Viya 3.4 (and newer) Deep Learning back end. You can start a SAS session and run analytics from Python through a combination of object-oriented methods and Python magics. SASPy Library This project provides Python APIs to the SAS system. SAS Visual Investigator SAS Visual Investigator enables users to identify, investigate, and act on suspicious activities and events of interest quickly and easily with self-service capabilities that govern the complete life cycle of an investigation, search, or inquiry. Find access to your SAS Viya orders, API reference documentation, and tutorials on your SAS Viya software. SAS Viya Orders API Support resources for SAS Viya orders. Visual Analytics SDK The SAS Visual Analytics SDK is a collection of JavaScript libraries that web developers can use to embed SAS Visual Analytics content within custom web pages and web applications. SAS Content SDK The SAS Content SDK is a JavaScript library that web developers can use to embed HTML elements within custom web pages and web apps that allow end users to navigate, preview, and open content in SAS Viya.Ĭonversation Designer SDK The SAS Conversation Designer software development kit (SDK) is a set of JavaScript APIs and web components that enable SAS Conversation Designer chatbots to be easily embedded in a third-party application or web page. SAS IoT Analytics A collection of IoT use cases, code examples, and supporting material to build end-to-end analytics life cycle for IoT using SAS IoT Analytics Python SAS integrates with Python through various code libraries and tools that allow open source developers to unite the Python language with the analytic power of SAS. The REST APIs are written to make it easy to integrate the capabilities of SAS Viya to help build applications or create scripts.ĪPI End-to-End Use Cases This GitHub project aims to leverage the knowledge base of the SAS users and developers community for better SAS API documentation, user guides and quick starts. REST REST APIs for any client language to access SAS analytics, data and services. Integrate open source languages and agile technology with the capabilities of SAS analytics. SAS provides application and enterprise developers, data scientists, and analysts with access to SAS services. Open Source SAS Open source development resources for developers.
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