A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial Intelligence
Key Features:
Book Description:
The big data architects are the "masters" of data, and hold high value in today's market. Handling big data, be it of good or bad quality, is not an easy task. The prime job for any big data architect is to build an end-to-end big data solution that integrates data from different sources and analyzes it to find useful, hidden insights.
Big Data Architect's Handbook takes you through developing a complete, end-to-end big data pipeline, which will lay the foundation for you and provide the necessary knowledge required to be an architect in big data. Right from understanding the design considerations to implementing a solid, efficient, and scalable data pipeline, this book walks you through all the essential aspects of big data. It also gives you an overview of how you can leverage the power of various big data tools such as Apache Hadoop and ElasticSearch in order to bring them together and build an efficient big data solution.
By the end of this book, you will be able to build your own design system which integrates, maintains, visualizes, and monitors your data. In addition, you will have a smooth design flow in each process, putting insights in action.
What You Will Learn:
Who this book is for:
Big Data Architect's Handbook is for you if you are an aspiring data professional, developer, or IT enthusiast who aims to be an all-round architect in big data. This book is your one-stop solution to enhance your knowledge and carry out easy to complex activities required to become a big data architect.
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Syed Muhammad Fahad Akhtar has 12+ years of industry experience in analysis, designing, developing, integrating, and managing large applications in different industries. He has vast exposure of working in UAE, Pakistan, and Malaysia and is currently working in ASIT Solutions as a solution architect. He received his masters from Torrens University, Australia, and bachelor of science in computer engineering from National University of Computer and Emerging Sciences (FAST), Pakistan.
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