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DATA ENGINEERING AND AI FOR BEGINNERS: Revolutionizing Data Processing and Analytics by Leveraging Artificial Intelligence for Efficient Input Collection, Storage, and Transformation
Are you intrigued by the world of AI and data engineering? Do you find yourself captivated by the potential of these technologies to transform businesses and industries? If so, Data Engineering and AI for Beginners is the introductory guide you've been searching for.In today’s fast evolving digital landscape where data is lifeblood, those who harness its flow hold the keys to game-changing insights. This book addresses the very challenges and questions that have been on your
What is Data Engineering?How Does AI Fit into the Picture?Is This for Me, a Beginner?What Tools and Technologies Are Involved?Where Does This Lead Me in the Future?
Data Engineering and AI for Beginners is a resource tailored to cater to your curiosity and passion for learning, whether you're an eager student, a budding professional, or an experienced practitioner seeking to level up your skills. This book is designed to pique your interest with clear explanations of concepts, a structured learning journey that spans from fundamentals to advanced topics, and comprehensive coverage from a holistic view.
You will discover in this
The Potential of AI Applications in Data EngineeringAI-driven Data Visualisation and StorytellingDeep-dived Insights from Advanced Analytics with AIAI-powered Data Governance and ComplianceAnd Much, Much More!
Ask any veteran data engineer who works with artificial intelligence, and you'll hear stories of data transformed into actionable insights, hidden patterns unveiled within mountains of data, and careers elevated by the power of innovation. AI isn't just an option; it's the compass guiding data engineers towards uncharted territories of excellence.
Whether you're aiming to solve business problems or to simply demystify AI and data engineering, take the first step and let Data Engineering and AI for Beginners start you on a transformative journey of mastery.
What is Data Engineering?How Does AI Fit into the Picture?Is This for Me, a Beginner?What Tools and Technologies Are Involved?Where Does This Lead Me in the Future?
Data Engineering and AI for Beginners is a resource tailored to cater to your curiosity and passion for learning, whether you're an eager student, a budding professional, or an experienced practitioner seeking to level up your skills. This book is designed to pique your interest with clear explanations of concepts, a structured learning journey that spans from fundamentals to advanced topics, and comprehensive coverage from a holistic view.
You will discover in this
The Potential of AI Applications in Data EngineeringAI-driven Data Visualisation and StorytellingDeep-dived Insights from Advanced Analytics with AIAI-powered Data Governance and ComplianceAnd Much, Much More!
Ask any veteran data engineer who works with artificial intelligence, and you'll hear stories of data transformed into actionable insights, hidden patterns unveiled within mountains of data, and careers elevated by the power of innovation. AI isn't just an option; it's the compass guiding data engineers towards uncharted territories of excellence.
Whether you're aiming to solve business problems or to simply demystify AI and data engineering, take the first step and let Data Engineering and AI for Beginners start you on a transformative journey of mastery.
168 pages, Kindle Edition
Published September 11, 2023
17 people are currently reading
3 people want to read
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Displaying 1 of 1 review
June 3, 2024
Incredible and Timely Book
The book emphasizes the importance of data prepping, cleansing, and labeling. This along with a solid governance process is key.
In no way can I write a perfect review on this highly technical, yet easy to read reference book. It is timely and well done !
The author is well versed and provides tons of imputation examples that will require a deeper dive and re-reading on my part. He discusses that data is an ocean of valuable information and insights, details around data engineering , and it's part in this newer revolution. Data visualization uncovers concealed patterns and trends, as also with a visualization process. Another key area was that AI is all about personalization.
Interested in AI and Data? I highly recommend.
The book emphasizes the importance of data prepping, cleansing, and labeling. This along with a solid governance process is key.
In no way can I write a perfect review on this highly technical, yet easy to read reference book. It is timely and well done !
The author is well versed and provides tons of imputation examples that will require a deeper dive and re-reading on my part. He discusses that data is an ocean of valuable information and insights, details around data engineering , and it's part in this newer revolution. Data visualization uncovers concealed patterns and trends, as also with a visualization process. Another key area was that AI is all about personalization.
Interested in AI and Data? I highly recommend.
Displaying 1 of 1 review