Scalable Big Data Architecture: A Practitioners Guide to Choosing Relevant Big Data Architecture, (Paperback)
Scalable Big Data Architecture is your essential guide to navigating the complexities of Big Data with practical examples and proven methodologies.
Scalable Big Data Architecture: A Practitioners Guide to Choosing Relevant Big Data Architecture, (Paperback)
Articol nr.: 156902045

Scalable Big Data Architecture: A Practitioners Guide to Choosing Relevant Big Data Architecture, (Paperback)

Articol nr.: 156902045

RON 273

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Scalable Big Data Architecture is your essential guide to navigating the complexities of Big Data with practical examples and proven methodologies.
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Ce Iese în evidență

Comprehensive Guidance
Offers detailed insights into selecting the appropriate Big Data architecture, catering to both beginners and experienced practitioners, ensuring informed decision-making for various project requirements.
Practical Frameworks
Presents actionable frameworks and examples, enabling readers to apply theoretical concepts to real-world scenarios, enhancing the practicality of Big Data implementation.
Up-to-Date Insights
Incorporates the latest trends and technologies in Big Data, providing readers with a competitive edge when adapting their architectures to future developments and scalability needs.

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Shop Scalable Big Data Architecture: A Practitioners Guide to Choosing Relevant Big Data Architecture, (Paperback) online at a best price in România. 48586052
  • This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term Big Data, from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance. Scalable Big Data Architecture covers real-world, concrete industry use cases that leverage complex distributed applications, which involve web applications, RESTful API, and high throughput of large amount of data stored in highly scalable No-SQL data stores such as Couchbase and Elasticsearch. This book demonstrates how data processing can be done at scale from the usage of NoSQL datastores to the combination of Big Data distribution. When the data processing is too complex and involves different processing topology like long running jobs, stream processing, multiple data sources correlation, and machine learning, it's often necessary to delegate the load to Hadoop or Spark and use the No-SQLto serve processed data in real time. This book shows you how to choose a relevant combination of big data technologies available within the Hadoop ecosystem. It focuses on processing long jobs, architecture, stream data patterns, log analysis, and real time analytics. Every pattern is illustrated with practical examples, which use the different open sourceprojects such as Logstash, Spark, Kafka, and so on. Traditional data infrastructures are built for digesting and rendering data synthesis and analytics from large amount of data. This book helps you to understand why you should consider using machine learning algorithms early on in the project, before being overwhelmed by constraints imposed by dealing with the high throughput of Big data. Scalable Big Data Architecture is for developers, data architects, and data scientists looking for a better understanding of how to choose the most relevant pattern for a Big Data project and which tools tointegrate into that pattern.
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateDecember, 2015
Pages141
SubgenreData Science
Series titleNo Series
Edition1
PublisherApress
Original languagesEnglish
LanguageEnglish
Is collectibleN
Recording time0 min
Retail packagingSingle Piece
Assembled product dimensions (l x w x h)7.00 x 0.34 x 10.00 in (17.8 x 0.9 x 25.4 cm)
Assembled product weight0.64 lb (290 grams)
Bisac subject headingComputers

Cine Ar Trebui să Cumpere?

Suitable For
  • Data Engineers

    Provides essential insights on designing scalable architecture, essential for data engineers working on large-scale data systems.

  • IT Architects

    IT architects will benefit from understanding various big data architectures for effective system design and integration.

  • Business Analysts

    Business analysts looking to leverage big data can gain valuable knowledge to interpret architectures effectively for business insights.

Not Suitable For
  • Beginners in Data

    Individuals new to data concepts may find the technical terminology overwhelming without prior foundational knowledge.

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Întrebări și răspunsuri ale clienților

  • Întrebare: Who is the target audience for this book?

    Răspuns: The book is aimed at developers, data architects, and data scientists seeking to enhance their understanding of big data technologies.
  • Întrebare: What type of data processing does the book cover?

    Răspuns: It covers large-scale data processing, including stream processing, log analysis, and real-time analytics.
  • Întrebare: Which technologies are discussed in this book?

    Răspuns: The book discusses No-SQL databases, Hadoop, Spark, Kafka, and other open-source projects for big data processing.

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