A comprehensive end-to-end Big Data Architecture Handbook that gives hands-on practice in Big Data & Artificial Intelligence.
Key Features
- Learn to build and run a Big Data application with sample code - from data ingestion, processing to visualization
- Includes real-world examples for implementing activities that a Big Data architect performs.
- Use Machine Learning and Artificial Intelligence for Structured & Unstructured Data
Book Description
Big Data Architects are the "masters" of data, and their role is one of very high value in the market today. Handling big data, which includes a lot of data of good and 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. This book will show you how to do just that.
This book will take you through developing a complete, end-to-end big data pipeline which will lay the foundation of, and provide you with the necessary knowledge required to be a Big Data architect. Right from understanding the design considerations to implementing a solid, efficient and scalable data pipeline, this book covers it all. It also gives you an overview of how you can leverage the power of various Big Data tools such as Apache Hadoop, ElasticSearch and more, and bring them together to build an efficient Big Data solution.
By the end of this book, the readers will be able to build their own design system which integrates, maintains, visualizes and monitors your data and will help the readers to ensure a smooth design flow among each process, making insights come alive.
What you will learn
- Hadoop Ecosystem and relevant Apache projects
- Understand and compare NoSQL database and essential Software Architecture
- Cloud infrastructure design considerations for Big Data
- Application scenario of Big Data tools to perform day-to-day activities
- Learn how to analyze and visualize your results to uncover valuable insights
- Build and run a Big Data application with sample code from end-to-end
- Apply Machine learning and Artificial intelligence to perform big data intelligence
- Hands-on practice for the day-to-day activities performed by all-round big data architects.
Who This Book Is For
This book is for as piring data professionals, developers and IT enthusiasts who aspire to be all-round Big Data Architects. This book is a one-stop solution to upskill your knowledge and to carry out easy to complex big data architect activities.
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.
