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Big Data Architect???s Handbook

Big Data Architect???s Handbook

By : Akhtar
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Big Data Architect???s Handbook

Big Data Architect???s Handbook

3 (2)
By: 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.
Table of Contents (21 chapters)
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10
Frontend Architecture
17
Data Visualization

Containerization

In a traditional system, an application usually deploys in a dedicated server. These servers are not cheap hardware and normally cost upwards of thousands of dollars. Deployment into a dedicated server is mainly done to provide full access to hardware resources and to avoid any configuration conflicts. However, this can cost companies a huge amount each time they're required to deploy a new application. From here, comes virtualization –although there are both advantages and disadvantages to its approach. To overcome the negatives of virtualization, containerization came into existence.

In this chapter, we will explore the following topics:

  • Virtualization and different types of hypervisors
  • Containerization and its benefits
  • Docker 
  • Docker Swarm
  • Kubernetes

We will start with the detailed theory related to these topics. We will then move our...

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Tech Concepts
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Programming languages
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Big Data Architect???s Handbook
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