Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka
- ISBN-10
- 1484221745
- ISBN-13
- 9781484221747
- Category
- Computers
- Pages
- 212
- Language
- English
- Published
- 2016-11-03
- Publisher
- Apress
- Authors
- Raul Estrada, Isaac Ruiz
Description
This book is about how to integrate full-stack open source big data architecture and how 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 datasets 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. The 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’ll learn How to make big data architecture without using complex Greek letter architectures. How to build a cheap but effective cluster infrastructure. How to make queries, reports, and graphs that business demands. How to manage and exploit unstructured and No-SQL data sources. How use tools to monitor the performance of your architecture. How to integrate all technologies and decide which replace and which reinforce. Who This Book Is For This book is for developers, data architects, and data scientists looking for how to integrate the most successful big data open stack architecture and how to choose the correct technology in every layer.
Get the book
Other editions
Similar books
-
Fast Data Processing Systems with SMACK Stack
By Raul EstradaAbout This Book This highly practical guide shows you how to use the best of the big data technologies to solve your response-critical problems Learn the art of making cheap-yet-effective big data architecture without using complex Greek ...
-
Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities
By Richard S., Gao, NiuFeaturing coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students ...
-
Big Data, Fast Data
By Jochen Mader, Michael Lex, Dr. Daniel PapeDie Big-Data-Welt verändert sich.
-
Handbook of Research on Big Data Storage and Visualization Techniques
By Cook, Richard S., Jeffrey S.Chemometrics in Excel. John Wiley & Sons. Retrieved on October 22, 2016 from https://www.amazon.com/Chemometrics- Excel-Alexey-L-Pomerantsev/dp/1118605357 Pomerantsev, A. L., & Rodionova, O. Y. (2012). Process analytical technology: A ...
-
Obtaining Value from Big Data for Service Systems, Volume II: Big Data Technology
By Stephen H. Kaisler, Frank Armour, J. Alberto Espinosa... Local Manufacturing Communities: Online Simulations of Future Workshop Systems by William Sims Bainbridge • Service Excellence in.
-
Complete Guide to Open Source Big Data Stack
By Michael Frampton... SMACK. Stack. The SMACK stack uses Apache Spark, Mesos, Akka, Cassandra, and Kafka. Apache Spark is the in-memory parallel processing engine, while ... BIG DATA STACK OVERVIEW Development Stacks LAMP Stack MEAN Stack SMACK Stack MARQS Stack.
-
Research Anthology on Privatizing and Securing Data
By Management Association, Information ResourcesThis book is essential for data analysts, cybersecurity professionals, data scientists, security analysts, IT specialists, practitioners, researchers, academicians, and students interested in the latest trends and technologies for ...
-
Research Anthology on Usage and Development of Open Source Software
By Management Association, Information ResourcesScripting DNA: Identifying the JavaScript programmer. Digital Investigation, 15, 61–71. doi:10.1016/j.diin.2015.09.001 Wittern, E., Suter, P., & Rajagopalan, S. (2016). A look at the dynamics of the JavaScript package ecosystem.
-
Distributed Computing and Artificial Intelligence, 14th International Conference
By Sara Rodriguez, Sigeru Omatu, Paweł Sitek... Big Data analytics frameworks. In: 2014 International Conference on Circuits, Systems, Communication and Information ... SMACK. Apress, Berkeley, CA (2016). 9. Mayilvaganan, M., Sabitha, M.: A cloud-based architecture for Big-Data ...
-
Complex, Intelligent, and Software Intensive Systems: Proceedings of the 12th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2018)
By Leonard Barolli, Nadeem Javaid, Makoto TakizawaThis book provides a platform of scientific interaction between the three challenging and closely linked areas of ICT-enabled-application research and development: software intensive systems, complex systems and intelligent systems.