» » Big Data Architect's Handbook (True PDF)
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  • Author: rukensai
  • Date: 30-08-2018, 10:32
30-08-2018, 10:32

Free Download Big Data Architect's Handbook (True PDF)

Category: E-Books

Big Data Architect's Handbook (True PDF)
A guide to building proficiency in tools and systems used by leading big data experts
2018 | ISBN: 1788835824 | English | 486 pages | True PDF | 26 MB

A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial Intelligence

Key Features
Learn to build and run a big data application with sample code
Explore examples to implement activities that a big data architect performs
Use Machine Learning and AI for structured and unstructured data
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
Learn Hadoop Ecosystem and Apache projects
Understand, compare NoSQL database and essential software architecture
Cloud infrastructure design considerations for big data
Explore application scenario of big data tools for daily activities
Learn to analyze and visualize results to uncover valuable insights
Build and run a big data application with sample code from end to end
Apply Machine Learning and AI to perform big data intelligence
Practice the daily activities performed by big data architects
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