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Mastering SAS Consulting: Design, Deploy, and Manage Analytics Environments
Louise Reader
Read on Louise Reader App.
The SAS ecosystem is evolving. Whether you work with SAS Viya or SAS?9, there's never been a better time to dive in and master its full potential. This book guides you through the technologies and environments that make SAS a powerful asset in data analytics, revealing the surprising depth and rich capabilities that SAS offers.
This comprehensive guide is tailored for consultants and operations teams, covering everything from strategic analysis and architecture to implementation, administration, and best practices. You'll explore the analytics landscape across both commercial and open-source systems, learning how to design, deploy, and manage SAS environments effectively.
By the end of this book, you'll be equipped to confidently implement and operate SAS technology turning raw data into real insights and business value.
What You Will Learn
· Understand Consulting, Operations and Process activities associated with SAS technologies
· Support SAS data sourcing and reporting deliveries
· Establish best practices and guidelines for usage of the SAS platform
Who This Book Is For
Consultants, Administrators, Architects, and Developers
Les livres numériques peuvent être téléchargés depuis l'ebookstore Numilog ou directement depuis une tablette ou smartphone.
PDF : format reprenant la maquette originale du livre ; lecture recommandée sur ordinateur et tablette EPUB : format de texte repositionnable ; lecture sur tous supports (ordinateur, tablette, smartphone, liseuse)
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Anirban Dey is an experienced IT/Software industry professional working at Techno functional consultant level. With more than 15 years of industry experience, Anirban has worked primarily in banking and financial services, and with other business unites as well.
He's also been involved with the predictive analytics and AI domain for over a decade and is proficient in activities related to the SAS environment/ecosystem, open source cloud technologies, coding, platform management and implementation, and data integration/data management activities.
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