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English
Description
"Full Value of Data: Driving Business Success with the Full Value of Data" is a comprehensive guide to harnessing the power of data to drive business success. This book covers all aspects of data-driven decision making, from identifying relevant data sources, setting data-driven goals and objectives, to creating a data-driven culture within the organization.The book begins by discussing the importance of data in today's business environment and the...
2) Full Value of Data: Maximizing Business Potential through Data-Driven Insights and Decisions. Part 2
Author
Language
English
Description
"Full Value of Data: Maximizing Business Potential through Data-Driven Insights and Decisions" This book explores the importance of data-driven insights and decisions in today's rapidly changing business landscape. From data collection and analysis to implementation and measurement, this comprehensive guide will equip you with the tools and strategies needed to harness the full potential of your data. With real-life examples and practical tips, you'll...
3) Data Mesh: Building Scalable, Resilient, and Decentralized Data Infrastructure for the Enterprise Pa
Author
Language
English
Description
"Data Mesh" is a groundbreaking book that introduces a new way of designing and operating data infrastructure for modern enterprises. Drawing from real-world experiences and case studies, the book presents a decentralized approach to managing data, where small, cross-functional teams take ownership of their data domains and build self-contained data products. The book explores the challenges that traditional centralized data architecture faces in...
4) Full Value of Data: Unlocking the Power and Potential of Big Data to Drive Business Growth. Part 1
Author
Language
English
Description
"Full Value of Data: Unlocking the Power and Potential of Big Data to Drive Business Growth" is a comprehensive guide for anyone looking to harness the power of big data and turn it into a competitive advantage for their business. This book provides a thorough understanding of big data, its sources, collection, management, and analysis. It covers the various types of data and their relevance to business, the data science process and its applications,...
5) Data Science for Beginners: Unlocking the Power of Data With Easy-To-Understand Concepts and Techniq
Author
Language
English
Description
"Data Science for Beginners: Unlocking the Power of Data with Easy-to-Understand Concepts and Techniques" is a comprehensive guide for those who are new to the field of data science and machine learning. The book provides an overview of the exciting and rapidly-growing field of data science and the role that machine learning plays within it. The book starts with a clear and concise definition of machine learning, followed by an exploration of its...
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English
Description
"Data Science for Beginners: Tips and Tricks for Effective Machine Learning" is a practical guide that offers readers a clear and concise introduction to the field of machine learning. Machine learning has become an integral part of data science, and is used to build predictive models, make accurate predictions, and uncover hidden patterns in data. This book is designed to help beginners navigate the world of machine learning and understand the most...
Author
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Description
Deep Learning with Python: A Comprehensive Guide to Deep Learning with Python" is a must-read for anyone who wants to master the art of artificial intelligence. This comprehensive guide takes readers on a journey from the very basics of deep learning to the most advanced concepts and techniques.Starting with an overview of artificial intelligence and its applications, the book dives deep into the world of deep learning, explaining how it works and...
8) Data Mesh: Building Scalable, Resilient, and Decentralized Data Infrastructure for the Enterprise. P
Author
Language
English
Description
The book then goes on to provide a detailed guide to building a Data Mesh architecture, covering topics such as designing autonomous data domains, building a data product catalog, implementing federated governance, and managing data pipelines. The authors provide practical advice and real-world examples to help you understand the key concepts and apply them in your organization. In addition to the technical aspects of building a Data Mesh architecture,...