Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka (Paperback)
  • Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka (Paperback)

Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka (Paperback)

(author), (author)
Paperback 264 Pages / Published: 29/09/2016
  • We can order this

Usually dispatched within 3 weeks

  • This item has been added to your basket

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

Publisher: APress
ISBN: 9781484221747
Number of pages: 264
Weight: 5525 g
Dimensions: 254 x 178 x 15 mm
Edition: 1st ed.

You may also be interested in...

VBA For Dummies
Added to basket
Enterprise Data Architecture
Added to basket
Database Design for Mere Mortals
Added to basket
Hadoop - The Definitive Guide 4e
Added to basket
Think Stats 2e
Added to basket
Designing Data-Intensive Applications
Added to basket
Doing Data Science
Added to basket
The Elements of Statistical Learning
Added to basket
Search Engine Optimization (SEO)
Added to basket
Coding For Kids For Dummies
Added to basket
NoSQL Distilled
Added to basket
Data Wrangling with Python
Added to basket
Querying Microsoft (R) SQL Server (R) 2012
Added to basket
A Semantic Web Primer
Added to basket

Please sign in to write a review

Your review has been submitted successfully.