Get Free Ebook Hands-On Big Data Modeling: Effective database design techniques for data architects and business intelligence professionals, by James Lee Tao Wei
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Hands-On Big Data Modeling: Effective database design techniques for data architects and business intelligence professionals, by James Lee Tao Wei
Get Free Ebook Hands-On Big Data Modeling: Effective database design techniques for data architects and business intelligence professionals, by James Lee Tao Wei
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About the Author
James Lee is a passionate software wizard working at one of the top Silicon Valley-based startups specializing in big data analysis. In the past, he has worked at big companies such as Google and Amazon. In his day job, he works with big data technologies such as Cassandra and ElasticSearch, and he is an absolute Docker technology geek and IntelliJ IDEA lover with a strong focus on efficiency and simplicity. Apart from his career as a software engineer, he is keen on sharing his knowledge with others and guiding them, especially for startups and programming. He has been teaching courses and conducting workshops on Java programming / IntelliJ IDEA since he was 21. James Lee has an MS degree in Computer Science from McGill University and many years of experience as a teaching assistant for various computer science classes. James Lee also enjoys skiing and swimming, and he is a passionate traveller.Tao Wei has an MS degree in Computer Science from the University of McGill and many years of experience as a teaching assistant for various computer science classes. When Tao is not working, Tao enjoys reading and swimming, and he is a passionate photographer. Pedro Magalhães Bernardo is a software engineer and data scientist based in Rome, Italy. Currently, he is working as a freelancer on different software projects across the globe. Previously, he has worked for start-ups and other companies in Brazil where he helped build data pipelines and software architectures for big data analysis. His main areas of expertise are software architecture and data engineering, and he is currently pursuing an MSc in Data Science at the University of Rome "La Sapienza".
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Product details
Paperback: 306 pages
Publisher: Packt Publishing (November 30, 2018)
Language: English
ISBN-10: 1788620909
ISBN-13: 978-1788620901
Product Dimensions:
7.5 x 0.7 x 9.2 inches
Shipping Weight: 1.5 pounds (View shipping rates and policies)
Average Customer Review:
4.2 out of 5 stars
5 customer reviews
Amazon Best Sellers Rank:
#931,007 in Books (See Top 100 in Books)
The content is so simple
The content is very simple and I think that it is the biggest plus-point of this book. Big Data is going pretty "Big" or rather "Huge" and I truly believe that this book should be considered among the top “Big Data†books. I have read it and am referring it to my students (whenever needed). A lot of people ignore the basics and concepts of Big Data. They simply start implementing. This is a big mistake because when the data goes real Big, these concepts shall only come to your rescue and give you a solution. So clear the concepts by reading this book. I congratulate the authors for such a Good Job!
I am a beginner programmer and honestly, was a bit scared to touch this book. But I must confess that my belief was wrong. The book is good for anyone who is interested in learning Big Data Modeling. Creating models need some creativity, and this book taught me how to do that in the best possible way. It wasn't that easy though, I need more experience and practice. I purchased the Kindle version and am not regretting, its a good decision to save paper and get a hold of a good book. Oh yes, a big thank you to the author team.
I was interested in learning weather data modeling as I work for a company that forecasts weather. The book has helped me learn how to assimilate weather data using weather data models. I have learned/practiced QJIS and it helped me a lot. So I suggest that go through QJIS or learn it (if you don't know) before starting this book. Overall, a good book! Add On: Simplified basic to expert level explanation. So if your English is normal, you might not need a dictionary:).
If you are interested in big data modeling, this book is a must-read for you. It gives you a high level understanding of different technology behind big data modeling, including the idea behind it, the pros and cons. An amazing book for practitioners who want to learn all the essential concepts quickly and in an organized manner.
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