Description
Big Data Application Architecture Q&A, 1st ed.
A Problem - Solution Approach
Authors: Sawant Nitin, Shah Himanshu
Language: EnglishSubjects for Big Data Application Architecture Q&A:
Approximative price 47.46 €
In Print (Delivery period: 15 days).
Add to cart the book of Sawant Nitin, Shah Himanshu172 p. · 19.1x23.5 cm · Paperback
Description
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Big Data Application Architecture Pattern Recipes answers one of the most critical questions of this time 'how do you select the best end-to-end architecture to solve your big data problem?'.
The book deals with various mission critical problems encountered by solution architects, consultants, and software architects while dealing with the myriad options available for implementing a typical solution, trying to extract insight from huge volumes of data in real–time and across multiple relational and non-relational data types for clients from industries like retail, telecommunication, banking, and insurance. The patterns in this book provide the strong architectural foundation required to launch your next big data application.
The architectures for realizing these opportunities are based on relatively less expensive and heterogeneous infrastructures compared to the traditional monolithic and hugely expensive options that exist currently. This book describes and evaluates the benefits of heterogeneity which brings with it multiple options of solving the same problem, evaluation of trade-offs and validation of 'fitness-for-purpose' of the solution.
- Introduction
- Big Data Application Architecture
- Ingestion and Streaming Patterns
- Data Storage Patterns
- Data Access Patterns
- Data Discovery and Analysis Patterns
- Visualization Patterns
- Deployment Patterns
- Big Data NFRs
- Big Data Case Studies
- Resources and Tools
- Appendix
Use cases for big data specific to architectures like Walmart and Ebay.
Covers the end-to-end application architecture required to realize the big data solution covering the analytics and visualization aspects in addition to hadoop and not just focus on providing design patterns in the map-reduce or hadoop area only.
The book can be used as reference to search the closest big data pattern and quickly use it to start building the application which corresponds to your problem statement.
Complete list of application architectures used by peers for specific industries.