Foundations for Architecting Data Solutions: Managing Successful Data Projects
Language: English
Published by O'Reilly Media, 2018
- Softcover
- Used
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- Title
- Foundations for Architecting Data Solutions: Managing Successful Data Projects
- Author
- Malaska, Ted
- Publisher
- O'Reilly Media
- Publication year
- 2018
- Condition
- Fair
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1492038741
- ISBN 13
- 9781492038740
- Item weight
- 340 grams
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
"Synopsis" may belong to another edition of this title.
About the Author
Jonathan is a software engineer on the Cloud team at Cloudera. Prior to that, he was a solutions architect at Cloudera working with partners to integrate their solutions with Cloudera’s software stack. Previously, he was a technical lead on the big data team at Orbitz Worldwide, helping to manage the Hadoop clusters for one of the most heavily trafficked sites on the internet. He's also a co-founder of the Chicago Hadoop User Group and Chicago Big Data, co-author of Hadoop Application Architectures, technical editor for Hadoop in Practice, and has spoken at a number of industry conferences on Hadoop and big data,
"About the title" may belong to another edition of this title.
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