A Practitioners' Guide to SAS - Dey, Anirban
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Erscheint vorauss. 11. Dezember 2025
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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…mehr

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Produktbeschreibung
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. You will: ·       ·       ·       Establish best practices and guidelines for usage of the SAS platform    
Autorenporträt
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.