Predictive Analytics for the Modern Enterprise
A Practitioner's Guide to Designing and Implementing Solutions
$148.23
- Paperback
348 pages
- Release Date
2 January 2024
Summary
The surging predictive analytics market is expected to grow from \(10.5 billion today to \)28 billion by 2026. With the rise in automation across industries, the increase in data-driven decision-making, and the proliferation of IoT devices, predictive analytics has become an operational necessity in today’s forward-thinking companies.
If you’re a data professional, you need to be aligned with your company’s business activities more than ever before. This practical book provides the ba…
Book Details
| ISBN-13: | 9781098136864 |
|---|---|
| ISBN-10: | 1098136861 |
| Author: | Nooruddin Abbas Ali |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 348 |
| Release Date: | 2 January 2024 |
| Weight: | 620g |
| Dimensions: | 178mm x 233mm |
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Nooruddin Abbas Ali
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.
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