Big Data Architect’s Handbook Front Cover

Big Data Architect’s Handbook

  • Length: 486 pages
  • Edition: 1
  • Publisher:
  • Publication Date: 2018-06-21
  • ISBN-10: 1788835824
  • ISBN-13: 9781788835824
  • Sales Rank: #920482 (See Top 100 Books)
Description

Big Data Architect’s Handbook: A guide to building proficiency in tools and systems used by leading big data experts

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

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.

Table of Contents

Chapter 1. Why Big Data
Chapter 2. Big Data Environment Setup
Chapter 3. Hadoop Ecosystem
Chapter 4. NoSQL Database
Chapter 5. Off-the-Shelf Tools
Chapter 6. Containerization
Chapter 7. Network Infrastructure
Chapter 8. Cloud Infrastructure
Chapter 9. Security & Monitoring
Chapter 10. Front End Architecture
Chapter 11. Back End Architecture
Chapter 12. Machine Learning
Chapter 13. Artificial Intelligence
Chapter 14. ElasticSearch
Chapter 15. Structured Data
Chapter 16. UnStructured Data
Chapter 17. Data Visualization
Chapter 18. Financial Trading system
Chapter 19. Retail Recommendation System

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