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

3.8 3.8 out of 5 stars 12 ratings
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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.

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  1. ISBN-10
    1788835824
  2. ISBN-13
    978-1788835824
  3. Publisher
    Packt Publishing
  4. Publication date
    June 21, 2018
  5. Language
    English
  6. Dimensions
    9.25 x 7.52 x 1.01 inches
  7. Print length
    486 pages
  8. See all details
Next slide of product details

Editorial Reviews

About the Author

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.

Product details

  • Publisher ‏ : ‎ Packt Publishing (June 21, 2018)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 486 pages
  • ISBN-10 ‏ : ‎ 1788835824
  • ISBN-13 ‏ : ‎ 978-1788835824
  • Item Weight ‏ : ‎ 1.85 pounds
  • Dimensions ‏ : ‎ 9.25 x 7.52 x 1.01 inches
  • Customer Reviews:
    3.8 3.8 out of 5 stars 12 ratings

About the author

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Syed Muhammad Fahad Akhtar

Syed Muhammad Fahad Akhtar

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More than 13 years of experience analysis, designing, developing, integrating, and managing large applications for diverse industries. 7+ years of experience in Cloud, Data Science and Big Data.

Exposure of working in Malaysia, U.A.E. and Pakistan.

Expert level skills in Data Science, AI & Blockchain.

Hands on experience in Machine Learning / Deep Learning with TensorFlow, Keras, PyTorch, Azure ML, ML Flow, AWS Sage Maker.

Excellent skills in Big data platforms like Databricks, Cloudera, Hortonworks.

Professional skills in Hadoop, Spark, HBase, Hive, Sqoop, Flume and NoSQL.

Expert skills in Azure, AWS and Google Cloud.

20+ international certifications and over 200+ MOOCs, certificates, and Nano degrees.

LinkedIn: https://www.linkedin.com/in/syedmfahad/

Customer reviews

3.8 out of 5 stars
12 global ratings

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  • Placeholder
    5.0 out of 5 stars Good Book
    Reviewed in India on July 23, 2019
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    Good
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  • James
    1.0 out of 5 stars Essentially just a collection of high level blog posts
    Reviewed in the United Kingdom on April 27, 2019
    Verified Purchase
    It's basically a very high level description of well known big data tools. You could probably get the same amount of info from just Googling "what is Hadoop". If this is meant to be a 'bible' for big data architects then I am genuinely concerned about the future of our industry.
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