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

by Syed Muhammad Fahad Akhtar

Overview

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.

Product Details

ISBN-13:	9781788836388
Publisher:	Packt Publishing
Publication date:	06/21/2018
Sold by:	Barnes & Noble
Format:	eBook
Pages:	486
File size:	24 MB
Note:	This product may take a few minutes to download.

About the Author

Syed Muhammad Fahad Akhtar has 12+ years of industry experience in analysis, designing, developing, integrating, and managing large applications in different industries. He has vast exposure of working in UAE, Pakistan, and Malaysia and is currently working in ASIT Solutions as a solution architect. He received his master’s from Torrens University, Australia, and bachelor of science in computer engineering from National University of Computer and Emerging Sciences (FAST), Pakistan.
Fahad Akhtar is having more than 10 years of industrial experience of analysis, designing, developing, integrating and managing large applications in different and diverse industries. He has vast exposure of working in UAE and Pakistan. He is currently working in Abu Dhabi Islamic Bank as Solution Architect. He received his MBA degree from Torrens University, Australia and Bachelor of Science in Computer Engineering from the National University of Computer and Emerging Sciences, Pakistan. He is having Professional Skills in IBM, Cloudera, Hortonworks Big data, Hadoop, Spark, Kafka, HBase, Hive, Sqoop, Flume and NoSQL. He successfully completed many projects. One of them is Archiving Emails with Predictions for 50+ Terabyte of emails. It makes them available for search and apply machine learning algorithms to collect many useful predictions and insight. He is currently working on Call Center Predict Customer Engagement. It uses the recorded audio files and speech to text algorithm to apply machine learning and predict customer engagements with the operator. He has cross-platform expertise and achieves recognition from IBM, Sun Microsystems and Microsoft. He received in 2017 –IBM Certified Big Data Architect, 2012 – Sun Certified Java Programmer, 2009 – Microsoft Certified Solution Developer, 2007 – Microsoft Certified Application Developer and 2005 – Microsoft Certified Profession. He also contributed his experience and services towards as Member, a board of director in K.K. Abdal Institute of Engineering and Management Sciences, Pakistan.

Table of Contents

Table of Contents

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