A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial Intelligence
Key Features:
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:
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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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.
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