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Fast Data Processing Systems with SMACK Stack

You're reading from  Fast Data Processing Systems with SMACK Stack

Product type Book
Published in Dec 2016
Publisher Packt
ISBN-13 9781786467201
Pages 376 pages
Edition 1st Edition
Languages
Author (1):
Raúl Estrada Raúl Estrada
Profile icon Raúl Estrada

Table of Contents (15) Chapters

Fast Data Processing Systems with SMACK Stack
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. An Introduction to SMACK 2. The Model - Scala and Akka 3. The Engine - Apache Spark 4. The Storage - Apache Cassandra 5. The Broker - Apache Kafka 6. The Manager - Apache Mesos 7. Study Case 1 - Spark and Cassandra 8. Study Case 2 - Connectors 9. Study Case 3 - Mesos and Docker

About the Reviewers

Anton Kirillov started his career as a Java developer in 2007, working on his PhD thesis in the Semantic Search domain at the same time. After finishing and defending his thesis, he switched to Scala ecosystem and distributed systems development. He worked for and consulted startups focused on Big Data analytics in various domains (real-time bidding, telecom, B2B advertising, and social networks) in which his main responsibilities were focused on designing data platform architectures and further performance and stability validation. Besides helping startups, he has worked in the bank industry building Hadoop/Spark data analytics solutions and in a mobile games company where he has designed and implemented several reporting systems and a backend for a massive parallel online game.

The main technologies that Anton has been using for the recent years include Scala, Hadoop, Spark, Mesos, Akka, Cassandra, and Kafka and there are a number of systems he’s built from scratch and successfully released using these technologies. Currently, Anton is working as a Staff Engineer in Ooyala Data Team with focus on fault-tolerant fast analytical solutions for the ad serving/reporting domain.

Sumit Pal has more than 24 years of experience in the Software Industry, spanning companies from startups to enterprises. He is a big data architect, visualization and data science consultant, and builds end-to-end data-driven analytic systems. Sumit has worked for Microsoft (SQLServer), Oracle (OLAP), and Verizon (Big Data Analytics). Currently, he works for multiple clients building their data architectures and big data solutions and works with Spark, Scala, Java, and Python. He has extensive experience in building scalable systems in middletier, datatier to visualization for analytics applications, using BigData and NoSQL DB. Sumit has expertise in DataBase Internals, Data Warehouses, Dimensional Modeling, As an Associate Director for Big Data at Verizon, Sumit, strategized, managed, architected and developed analytic platforms for machine learning applications. Sumit was the Chief Architect at ModelN/LeapfrogRX (2006-2013), where he architected the core Analytics Platform.

Sumit has recently authored a book with Apress - called - "SQL On Big Data - Technology, Architecture and Roadmap". Sumit regularly speaks on the above topic in Big Data Conferences across USA.

Sumit has hiked to Mt. Everest Base Camp at 18.2K feet in Oct, 2016. Sumit is also an avid Badminton player and has won a bronze medal in 2015 in Connecticut Open in USA in the men's single category.

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Fast Data Processing Systems with SMACK Stack
Published in: Dec 2016 Publisher: Packt ISBN-13: 9781786467201
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