Padalia - Apache Cassandra Essentials

Nitin Padalia is the technical leader at Aricent Group, where he is involved in building highly scalable distributed applications in the field of telecommunications. From the beginning of his career, he has been working in the field of telecommunications and has worked on protocols such as SMPP, RTP, SIP, and VOIP. Since the beginning of his career, he has worked on the development of applications that can scale infinitely with highest performance possible. He has experience of developing applications for bare metal hardware, virtualized environments, and cloud-based applications using various languages and technologies.

I would like to thank all the reviewers of this book; their comments helped me to present data effectively.

Meeta Rajani, for setting things up and providing input during the initial phase of the book.

Anish Sukumaran, for helping me through his comments and input till the completion of this book.

Chaoran Yu, for good suggestions regarding presenting data and examples in a way that could be more helpful from the readers' perspective.

Ranjit, for his input throughout the book.

I also would like to thank my familymy mother, father, wife, and kidsfor letting me take some time out to write this book.

Ranjeet Kumar Jha has over 12 years (three years in the big data field) of experience in various phases of the project life cycle, including the development and design phases. He has also been part of production support for Java/JEE and big data-based applications. He is a certified enterprise architect, that is, Oracle Certified Master Enterprise Java JEE Architect, and has worked for over six years as an architect in Java JEE technologies (over three years in the big data field). He has worked in various domains such as finance, insurance, e-commerce, digital media, CMS, security, and online advertisements.

He has worked as a programmer, designer, mentor, and architect on all types of projects related to Java, especially JEE and big data. He is the reviewer of the book Real-time Analytics with Storm and Cassandra .

To find out more about him, visit his LinkedIn profile at https://www.linkedin.com/in/jharanjeet.

I would like to thank my familymy wife, Anila Jha, and two kids, Anushka Jha and Tanisha Jha, for their constant support, encouragement, and patience. Without you, I wouldn't have achieved so much! Love you all immensely.

Sonal Raj is a hacker, Pythonista, big data believer, and a technology dreamer. He has a passion for design and is an artist at heart. He blogs about technology, design, and gadgets at http://www.sonalraj.com/. When not working on projects, he can be found travelling, stargazing, or reading.

He has pursued engineering in computer science and holds a master's degree in IT. He loves to work on community projects. He has been a research fellow at IISc and has taken up projects on graph computations using Neo4j, Storm, and NoSQL databases. He has been a speaker at PyCon India and local meetups and has also published articles and research papers in leading magazines and international journals. He has contributed to several open source projects.

He is the author of Neo4j High Performance , Packt Publishing , and has reviewed titles on technologies such as Storm and Neo4j

I am grateful to the author for patiently listening to my critiques. I'd like to thank the open source community for keeping their passions alive and contributing to such remarkable projects. A special thank you to my parents, without whom I never would have grown to love learning as much as I do.

Chaoran Yu obtained his bachelor's degree with high honors from UC Berkeley Department of Electrical Engineering and Computer Science in May 2014. He has been a software developer with the data analytics team of Ericsson MediaFirst, a leading IPTV solution, since then. The technologies that he has worked on include Apache Cassandra, Spark, and the Microsoft .NET framework. He organized service and client logging and performance data and wrote code to store them in Cassandra, which he then processed with Spark jobs to generate real-time reports for TV operators. His passion for open source technologies, especially for distributed and scalable systems, makes him an avid learner in this ever-changing technology landscape.

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