Foundations for Architecting Data Solutions Managing Successful Data Projects Ted Malaska

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Product details:

• ISBN-10 ‏ : ‎ 1492038741
• ISBN-13 ‏ : ‎ 978-1492038740
• Author:  Ted Malaska (Auteur), Jonathan Seidman (Auteur)

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.

Table of contents:

1. Key Data Project Types and Considerations

2. Evaluating and Selecting Data Management Solutions

3. Managing Risk in Data Projects

4. Interface Design

5. Distributed Storage Systems

6. The Meta of Enterprise Data

7. Ensuring Data Integrity

8. Data Processing

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