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Big Data Smack: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka

Description: 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 Raúl 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).

Price: 87.56 AUD

Location: Hillsdale, NSW

End Time: 2024-12-04T17:03:06.000Z

Shipping Cost: 33.18 AUD

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Big Data Smack: A Guide to Apache Spark, Mesos, Akka, Cassandra, and KafkaBig Data Smack: A Guide to Apache Spark, Mesos, Akka, Cassandra, and KafkaBig Data Smack: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka

Item Specifics

Return shipping will be paid by: Buyer

Returns Accepted: Returns Accepted

Item must be returned within: 60 Days

Return policy details:

EAN: 9781484221747

UPC: 9781484221747

ISBN: 9781484221747

MPN: N/A

Item Length: 25.4 cm

Number of Pages: 264 Pages

Language: English

Publication Name: Big Data Smack: a Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka

Publisher: Apress

Publication Year: 2016

Subject: Computer Science

Item Height: 254 mm

Item Weight: 5525 g

Type: Textbook

Author: Raul Estrada, Isaac Ruiz

Item Width: 178 mm

Format: Paperback

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