Book Image

Big Data Architect's Handbook

By : Syed Muhammad Fahad Akhtar
Book Image

Big Data Architect's Handbook

By: Syed Muhammad Fahad Akhtar

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.

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Table of Contents (21 chapters)
Preface
Preface
Free Chapter
1
Why Big Data?
Why Big Data?
2
Big Data Environment Setup
Big Data Environment Setup
3
Hadoop Ecosystem
Hadoop Ecosystem
4
NoSQL Database
NoSQL Database
5
Off-the-Shelf Commercial Tools
Off-the-Shelf Commercial Tools
6
Containerization
Containerization
7
Network Infrastructure
Network Infrastructure
8
Cloud Infrastructure
Cloud Infrastructure
9
Security and Monitoring
Security and Monitoring
10
Frontend Architecture
Frontend Architecture
11
Backend Architecture
Backend Architecture
12
Machine Learning
Machine Learning
13
Artificial Intelligence
Artificial Intelligence
14
Elasticsearch
Elasticsearch
15
Structured Data
Structured Data
16
Unstructured Data
Unstructured Data
17
Data Visualization
Data Visualization
18
Financial Trading System
Financial Trading System
19
Retail Recommendation System
Retail Recommendation System
20
Other Books You May Enjoy
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Cloud Infrastructure

There are lots of companies that are now moving their businesses and IT infrastructure to cloud providers, either completely or in part. They are reaching this stage because they are convinced that it is the future in terms of infrastructural setup. A survey was conducted that concluded that by 2019 65% of businesses will have moved to cloud. 

In this chapter, we will be covering the following topics:

  • Companies moving to cloud
  • Infrastructure driving factors
    • Data locality driving factors
    • New requirements driving factors
  • Design consideration
    • Open source versus commercial
    • Commodity hardware versus purpose built
    • Cloud versus on-premises
    • Application architecture
    • Cost

Let's first start with some discussion on the driving factors due to which companies are moving to cloud infrastructures.

Companies moving to cloud 

Companies are always...

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