Big Data: Modern Frameworks and Application Development
39.99 €
The only thing available 2
This book covers programming models, systems, and frameworks specifically designed for processing and analyzing large data sets. It provides a detailed description of the properties and mechanisms of key programming paradigms used in big data analysis, such as MapReduce, worker threads, massively synchronous parallelism (BSP), message passing, and SQL-like models. The book's chapters describe the most commonly used frameworks, such as Hadoop, Spark, Storm, and MPI, designed for analyzing large data collections, using code examples.
The main topics of the book:
- Big data concepts and notions;
- Big data models;
- Tools for processing big data;
- Choosing the right framework for working with big data.
Programmers and researchers will find a discussion of choosing the environment most suitable for achieving the application's goals, as well as a guide that introduces models, languages, and tools for effectively managing and analyzing big data.
The publication is intended for readers with different levels of experience: developers, scientists, data analysts, and business professionals using big data.
To work with the book, you need to know programming languages such as Java, Python, or Scala, and have an understanding of the concepts of parallel and distributed programming.
The main topics of the book:
- Big data concepts and notions;
- Big data models;
- Tools for processing big data;
- Choosing the right framework for working with big data.
Programmers and researchers will find a discussion of choosing the environment most suitable for achieving the application's goals, as well as a guide that introduces models, languages, and tools for effectively managing and analyzing big data.
The publication is intended for readers with different levels of experience: developers, scientists, data analysts, and business professionals using big data.
To work with the book, you need to know programming languages such as Java, Python, or Scala, and have an understanding of the concepts of parallel and distributed programming.
See also:
- All books by the publisher
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