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Foundations for Architecting Data Solutions

MRP: Rs.475.00
Price in points: 475 points
9789352137800
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While many companies ponder implementation details such as distributed processing engines and algorithms for data analysis, this practical book takes a much wider view of big data development, starting with initial planning and moving diligently toward execution. Authors Ted Malaska and Jonathan Seidman guide you through the major components necessary to start, architect, and develop successful big data projects.

Everyone from CIOs and COOs to lead architects and developers will explore a variety of big data architectures and applications, from massive data pipelines to web-scale applications. Each chapter addresses a piece of the software development life cycle and identifies patterns to maximize long-term success throughout the life of your project.

  • Start the planning process by considering the key data project types
  • Use guidelines to evaluate and select data management solutions
  • Reduce risk related to technology, your team, and vague requirements
  • Explore system interface design using APIs, REST, and pub/sub systems
  • Choose the right distributed storage system for your big data system
  • Plan and implement metadata collections for your data architecture
  • Use data pipelines to ensure data integrity from source to final storage
  • Evaluate the attributes of various engines for processing the data you collect

Books

Author:
Ted Malaska
Binding:
Paperback
Condition Type:
New
Country Origin:
India
Edition:
First
Gift Wrap:
N
Leadtime to ship in days (default):
Usually ships in 1-2 days
Leadtime to ship in days(if not in stock):
Usually ships in 12-15 days
Pages:
192
Publisher:
Shroff / O'Reilly
Year:
2018

Dimensions

Dimensions (W x H x D):
7 x 9 x 0.36 inch

Table of Contents (9789352137800_toc.pdf, 174 Kb) [Download]