Big Data SMACK: A Guide To Apache Spark, Mesos, Akka, Cassandra,
And Kafka

Product Description

Learn how to integrate full-stack open source big data architecture & to choose the correct technology-Scala Spark Mesos Akka Cassandra & Kafka-in every layer Big data architecture is becoming a requirement for many different enterprises So far however the focus has largely been on collecting aggregating & crunching large data sets in a timely manner In many cases now organizations need more than one paradigm to perform efficient analyses Big Data SMACK explains each of the full-stack technologies & more importantly how to best integrate them It provides detailed coverage of the practical benefits of these technologies & incorporates real-world examples in every situation This book focuses on the problems & scenarios solved by the architecture as well as the solutions provided by every technology It covers the six main concepts of big data architecture & how integrate replace & reinforce every layer The language Scala The engine Spark (SQL MLib Streaming Graph X) The container Mesos Docker The view Akka The storage Cassandra The message broker Kafka What You Will Learn Make big data architecture without using complex Greek letter architectures Build a cheap but effective cluster infrastructure Make queries reports & graphs that business demands Manage & exploit unstructured & No-SQL data sources Use tools to monitor the performance of your architecture Integrate all technologies & decide which ones replace & which ones reinforce Who This Book Is For Developers data architects & data scientists looking to integrate the most successful big data open stack architecture & to choose the correct technology in every layer