Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Big Data Application Architecture Q&A: A Problem - Solution Approach (Expert's Voice in Big Data)

Buy

Big Data Application Architecture Pattern Recipes provides an insight into heterogeneous infrastructures, databases, and visualization and analytics tools used for realizing the architectures of big data solutions. Its problem-solution approach helps in selecting the right architecture to solve the problem at hand. In the process of reading through these problems, you will learn harness the power of new big data opportunities which various enterprises use to attain real-time profits.

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.

What you’ll learn

  • Major considerations in building a big data solution
  • Big data application architectures problems for specific industries
  • What are the components one needs to build and end-to-end big data solution?
  • Does one really need a real-time big data solution or an off-line analytics batch solution?
  • What are the operations and support architectures for a big data solution?
  • What are the scalability considerations, and options for a Hadoop installation?

Who this book is for

  • CIOs, CTOs, enterprise architects, and software architects
  • Consultants, solution architects, and information management (IM) analysts who want to architect a big data solution for their enterprise

Table of Contents

  1. Introduction
  2. Big Data Application Architecture
  3. Ingestion and Streaming Patterns
  4. Data Storage Patterns
  5. Data Access Patterns
  6. Data Discovery and Analysis Patterns
  7. Visualization Patterns
  8. Deployment Patterns
  9. Big Data NFRs
  10. Big Data Case Studies
  11. Resources and Tools
  12. Appendix
(HTML tags aren't allowed.)

Uncertainty in the Electric Power Industry: Methods and Models for Decision Support
Uncertainty in the Electric Power Industry: Methods and Models for Decision Support
Starting in Chile, the UK and Norway, liberalization and privatization
have been a major theme in the electricity industry during the last decade.

Through the introduction of competition and economic considerations,
governments around the world have attempted to obtain more reliable and
cheaper services for the electricity
...
Intelligent Data Mining: Techniques and Applications (Studies in Computational Intelligence)
Intelligent Data Mining: Techniques and Applications (Studies in Computational Intelligence)
"Intelligent Data Mining – Techniques and Applications" is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications. The main objective of this book is to gather a...
Underwater: Options When Your Mortgage Is Upside Down
Underwater: Options When Your Mortgage Is Upside Down

Just about every month, housing values in the U.S. fall. That, in turn, increases the number of people who owe more on their houses than they are worth—either trapping them in homes they may no longer want or putting them in danger of financial catastrophe if they lose a job or are otherwise unable to meet the...


Machine Learning Approaches to Bioinformatics (Science, Engineering, and Biology Informatics)
Machine Learning Approaches to Bioinformatics (Science, Engineering, and Biology Informatics)

This book covers a wide range of subjects in applying machine learning approaches for bioinformatics projects. The book succeeds on two key unique features. First, it introduces the most widely used machine learning approaches in bioinformatics and discusses, with evaluations from real case studies, how they are used in individual...

Juniper(r) Networks Secure Access SSL VPN Configuration Guide
Juniper(r) Networks Secure Access SSL VPN Configuration Guide
Juniper Networks Secure Access SSL VPN appliances provide a complete range of remote access appliances for the smallest companies up to the largest service providers. As a system administrator or security professional, this comprehensive configuration guide will allow you to configure these appliances to allow remote and mobile access for...
System Analysis, Design, and Development : Concepts, Principles, and Practices
System Analysis, Design, and Development : Concepts, Principles, and Practices
Learn to develop systems that meet customer needs and organizational objectives

Successful system development requires formulation and implementation of a sound technical strategy that accurately translates the user's operational needs into a physical solution to comply with their specifications and contract requirements. System Analysis,...

©2019 LearnIT (support@pdfchm.net) - Privacy Policy