Email: online@course.in
Main Road
SAS DATA INTEGRATION DEVELOPMENT FOR SAS 9 PRACTICE EXAMS
SASOnline Courses
Freshers and Career Changers
Online and Offline Classes
Week Days and Week Ends
Daily 2 hrs during Weekdays
•Troubleshoot advanced models in SAS .
•Learn how to use and interpret SAS .
•Become a better developer by mastering SAS fundamentals
•How to handle SAS script and code in apps.
•Learn and Master SAS with this time saving course
•What is SAS and How to Build apps using SAS .
•Learn how to implement the all the functionalities of a SAS .
•Go through all the steps to designing a game from start to finish.This course is designed for any graduates as well as Software Professionals who are willing to learn SAS .
•Additional Sessions for Doubt Clearing
•Training by Industry expert professionals
•Get Certified at the Best Training Institute.
•We enage Experienced trainers for Quality Training
•Assignments and test to ensure concept absorption.
•Courseware that is curated to meet the global requirements
•One-on-one training, online training, team or Corporate training can be provided
•We do Schedule the sessions based upon your comfort by our Highly Qualified Trainers and Real time Experts
•
•Android, Android Sdk, Freshers, Electronics, Java, Android Developer, B.tech, M.tech, Application Support, Software Engineering, Advanced Java, android
•Hyperion Developer, Hyperion Essbase, OBIEE, Oracle BI, Oracle Business Intelligence, Data Warehouse, Oracle Apps Funcitional, Oracle Apps HRMS Technical
•Java, .Net, Selenium, QTP, DBA, PHP, Neoload, Manual Testing, Rest, Soap, Web Services, SQL, UI, Peoplesoft, Cloud
•Peoplesoft, Business Intelligence, Cloud, Msbi, Cognos, Sharepoint, Db2, Qlikview, Inside Sales
•Spring, Hibernate, Java, Dot Net, Dotnet MVC, Android, iOS, Dot net developer, Android Developer, Manual Testing, Embedded, Telecom
•
Tests the candidate’s ability to apply the skills and knowledge necessary for data integration development in the SAS® environment Successful candidates should be skilled in tasks such as: Defining architecture of the platform for SAS Business Analytics. Creating metadata for source and target data. Creating metadata for target data and jobs. Working with transformations. Working with tables and table loader transformation. Working with slowly changing dimensions. Defining generated transformations. Deploying jobs. This course does not content the study material. This course contains 75 questions
© 2018 Digitalalice. Powered by Digitalalice