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 task before 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 that 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 that integrates, maintains, visualizes, and monitors your data. In addition, you will have a smooth design flow in each process, putting insights in action.
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Book Overview & Buying
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Table Of Contents
Big Data Architect???s Handbook
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Big Data Architect???s Handbook
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Overview of this book
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.
Table of Contents (21 chapters)
Preface
Why Big Data?
Big Data Environment Setup
Hadoop Ecosystem
NoSQL Database
Off-the-Shelf Commercial Tools
Containerization
Network Infrastructure
Cloud Infrastructure
Security and Monitoring
Frontend Architecture
Backend Architecture
Machine Learning
Artificial Intelligence
Elasticsearch
Structured Data
Unstructured Data
Data Visualization
Financial Trading System
Retail Recommendation System
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