Titre: Big Data Smack: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka
�diteur: Apress
Date de parution: 2016
Langue: anglais
ISBN � 10 chiffres: 1484221745
ISBN � 13 chiffres: 9781484221747
Reliure: Paperback
�tat de l'article: As New
�tat de la jaquette: No Jacket

A propos de ce titre

Synopsis

Learn how to integrate full-stack open source big data architecture and to choose the correct technology—Scala/Spark, Mesos, Akka, Cassandra, and 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, and 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 and, more importantly, how to best integrate them. It provides detailed coverage of the practical benefits of these technologies and incorporates real-world examples in every situation. This book focuses on the problems and scenarios solved by the architecture, as well as the solutions provided by every technology. It covers the six main concepts of big data architecture and how integrate, replace, and reinforce every layer:

The language: Scala

The engine: Spark (SQL, MLib, Streaming, GraphX)

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, and graphs that business demands
Manage and exploit unstructured and No-SQL data sources
Use tools to monitor the performance of your architecture
Integrate all technologies and decide which ones replace and which ones reinforce

Who This Book Is For:

Developers, data architects, and data scientists looking to integrate the most successful big data open stack architecture and to choose the correct technology in every layer

� propos de l?auteur

Ra�l Estrada is the co-founder of Treu Technologies, an enterprise for Social Data Marketing and BigData research. He is an Enterprise Architect with more than 15 years of experience in cluster management and Enterprise Software. Prior to founding Treu Technologies, Estrada worked as an Enterprise Architect in Application Servers & evangelist for Oracle Inc. He loves functional languages like Elixir and Scala, and also has a Master of Computer Science degree.

Isaac Ruiz has been a Java programmer since 2001, and a consultant and architect since 2003. He has participated in projects of different areas and varied scopes (education, communications, retail, and others). Ruiz specializes in systems integration and has participated in projects mainly related to the financial sector. He is a supporter of free software. Ruiz likes to experiment with new technologies (frameworks, languages, methods).

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

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