Predictive Analytics for the Modern Enterprise - Ali, Nooruddin Abbas
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This practical book provides the background, tools, and best practices necessary to help you design, implement, and operationalize predictive analytics in the cloud. Author Nooruddin Abbas Ali, principal solutions architect at MongoDB, brings you up to speed through industry use cases and end-to-end hands-on examples.

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Produktbeschreibung
This practical book provides the background, tools, and best practices necessary to help you design, implement, and operationalize predictive analytics in the cloud. Author Nooruddin Abbas Ali, principal solutions architect at MongoDB, brings you up to speed through industry use cases and end-to-end hands-on examples.
Autorenporträt
Nooruddin Abbas Ali is a global leader for ecosystem and AI partner Solutions Architects at MongoDB. This select global team works with innovative customers and partners looking to disrupt their respective industries. It is the team's belief that data is the key to unlocking business potential and bringing about the sustainable disruption that moves the human race forward. Nooruddin has been in the tech and service management industry for over 20 years, where he has held several positions in development, professional services, management, pre-sales, and thought leadership. He has worked for 0-1 startups, large public cloud providers (Alibaba Cloud), hypergrowth data platform companies (MongoDB), and end-to-end large system integrators. Nooruddin has been working with distributed data systems and cloud technologies for over a decade. He has experience and credentials in multiple cloud technologies, architecture best practices, AI, and application data platforms. This unique combination of data and cloud skills, coupled with his experience at various levels of the enterprise spectrum, has allowed him to amass the knowledge and field experience required to make this book multifaceted while having depth on core foundations of predictive analytics.