Brindha Priyadarshini Jeyaraman - Real-Time Streaming with Apache Kafka, Spark, and Storm: Create Platforms that Can Quickly Crunch Data and Deliver Real-Time Analytics to Users

My beloved Parents
Mr. Jeyaraman
Mrs. Patturani
and
My husband Suneet and
my children Riaan and Riya

Brindha Jeyaramanhas over 12+ years of work experience in software development and building data analytics systems. She has a strong software development background with extensive experience in implementing data analytics systems. She has completed her Bachelors degree in Information Technology and Master degree in Knowledge Engineering from Institute of Systems Science, NUS. During her undergraduate studies, she has implemented and published a paper on Bandwidth Optimization using Genetic Algorithms. She secured an Anna University rank of 36 during her undergraduate studies. Her strong inclination towards research has driven her to implement a Gesture Recognition System using Machine Learning techniques as a final year project in M.Tech - Knowledge Engineering. The outcome of the project was published as a paper. She received a Gold Medal and Book Prize for her Masters degree at NUS. Her current focus is on MLOps and productionizing Data Analytics Systems.

Hossein Narghaniis currently working in Tehran, Iran, and specializes in the Big Data domain. He has more than 12 years of experience in the design and development of different scale applications. His latest projects have driven him towards more distributed data engineering, where he extensively uses Apache Spark, Kafka, Sqoop, Flume, Java, and other tools. He possesses years of experience in the end-to-end lifecycle of Big Data solution architectures in the telecommunication and financial industries. His expertise extends to DevOps and administration aspects of Big Data analytics. He has also launched Big Data, Hadoop, Apache Spark, Apache Flink, Flume, Pyspark and Kafka courses for teaching many students.

There are a few people I would like to thank for the continued and ongoing support they have given me during the writing of this book. First and foremost, I would like to thank my family - my parents, my husband, and my children for providing encouragement and support throughout the process of writing the chapters. I could have never completed this book without their support.