Learn how to take full advantage of Apache Kafka, the distributed, publish-subscribe queue for handling real-time data feeds. With this comprehensive book, you ll understand how Kafka works and how it s designed. Authors Neha Narkhede, Gwen Shapira, and Todd Palino show you how to deploy production Kafka clusters; secure, tune, and monitor them; write rock-solid applications that use Kafka; and build scalable stream-processing applications.Learn how Kafka compares to other queues, and where it fits in the big data ecosystemDive into Kafka s internal designPick up best practices for developing applications that use KafkaUnderstand the best way to deploy Kafka in production monitoring, tuning, and maintenance tasksLearn how to secure a Kafka clusterGet detailed use-cases"
Learn how to take full advantage of Apache Kafka, the distributed, publish-subscribe queue for handling real-time data feeds. With this comprehensive book, you ll understand how Kafka works and how it s designed. Authors Neha Narkhede, Gwen Shapira, and Todd Palino show you how to deploy production Kafka clusters; secure, tune, and monitor them; write rock-solid applications that use Kafka; and build scalable stream-processing applications.Learn how Kafka compares to other queues, and where it fits in the big data ecosystemDive into Kafka s internal designPick up best practices for developing applications that use KafkaUnderstand the best way to deploy Kafka in production monitoring, tuning, and maintenance tasksLearn how to secure a Kafka clusterGet detailed use-cases"
Описание: With this practical guide, data engineers, data scientists, and developers will learn how to work with streaming data in a conceptual and platform-agnostic way.
Автор: Chambers Bill, Zaharia Matei Название: Spark: The Definitive Guide: Big Data Processing Made Simple ISBN: 1491912219 ISBN-13(EAN): 9781491912218 Издательство: Wiley Рейтинг: Цена: 8869.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals.
Описание: With this practical pocket reference, data engineers, data scientists, and developers will learn how to work with streaming data in a conceptual and platform-agnostic way. This handy pocket reference explains the what, where, when, and how of processing real-time data streams.
Автор: Pandey Prashant Kumar Название: Kafka Streams - Real-time Stream Processing ISBN: 9353518024 ISBN-13(EAN): 9789353518028 Издательство: Неизвестно Цена: 4481.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Kienzler Romeo, Karim MD Rezaul, Alla Sridhar Название: Apache Spark 2: Data Processing and Real-Time Analytics ISBN: 1789959209 ISBN-13(EAN): 9781789959208 Издательство: Неизвестно Цена: 9194.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Apache Spark is an in-memory, cluster-based data processing system that provides a wide range of functionalities such as big data processing, analytics, machine learning, and more.
Автор: Saxena Shilpi, Gupta Saurabh Название: Practical Real-time Data Processing and Analytics ISBN: 1787281205 ISBN-13(EAN): 9781787281202 Издательство: Неизвестно Рейтинг: Цена: 10114.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Real-Time Data Acquisition in Human Physiology: Real-Time Acquisition, Processing, and Interpretation--A MATLAB-Based Approach focuses on the design and development of a computer-based system to detect and digitally process human ECG, EMG, and carotid pulse waveforms in real time. The indigenous system developed and described in this book allows for an easy-to-interface, simple hardware arrangement for bio-signal detection. The computational functionality of MATLAB is verified for viewing, digital filtration, and feature extraction of acquired bio-signals.
This book demonstrates a method of providing a relatively cost-effective solution to human physiology real-time monitoring, processing, and interpretation that is more realizable and would directly benefit a larger population of patients.
This monograph reports recent advances of using fast computers for performing and analyzing molecular dynamics simulations. It enables the chemist to cope with common program packages and to include additional features in the relevant code.
It contains as well codes for key operations in GROMACS molecular simulations.
Описание: This book describes both batch processing and real-time processing pipelines. You`ll learn how to implement basic and advanced big data use cases with ease and develop a deep understanding of the Apache Beam model. In addition to this, you`ll discover how the portability layer works and the building blocks of an Apache Beam runner.
Work with all aspects of batch processing in a modern Java environment using a selection of Spring frameworks. This book provides up-to-date examples using the latest configuration techniques based on Java configuration and Spring Boot. The Definitive Guide to Spring Batch takes you from the “Hello, World!” of batch processing to complex scenarios demonstrating cloud native techniques for developing batch applications to be run on modern platforms. Finally this book demonstrates how you can use areas of the Spring portfolio beyond just Spring Batch 4 to collaboratively develop mission-critical batch processes.
You’ll see how a new class of use cases and platforms has evolved to have an impact on batch-processing. Data science and big data have become prominent in modern IT and the use of batch processing to orchestrate workloads has become commonplace. The Definitive Guide to Spring Batch covers how running finite tasks on cloud infrastructure in a standardized way has changed where batch applications are run.
Additionally, you’ll discover how Spring Batch 4 takes advantage of Java 9, Spring Framework 5, and the new Spring Boot 2 micro-framework. After reading this book, you’ll be able to use Spring Boot to simplify the development of your own Spring projects, as well as take advantage of Spring Cloud Task and Spring Cloud Data Flow for added cloud native functionality.
Includes a foreword by Dave Syer, Spring Batch project founder.
What You'll Learn
Discover what is new in Spring Batch 4 Carry out finite batch processing in the cloud using the Spring Batch projectUnderstand the newest configuration techniques based on Java configuration and Spring Boot using practical examplesMaster batch processing in complex scenarios including in the cloud Develop batch applications to be run on modern platforms Use areas of the Spring portfolio beyond Spring Batch to develop mission-critical batch processes
Who This Book Is For
Experienced Java and Spring coders new to the Spring Batch platform. This definitive book will be useful in allowing even experienced Spring Batch users and developers to maximize the Spring Batch tool.
Автор: Garofalakis Minos, Gehrke Johannes, Rastogi Rajeev Название: Data Stream Management: Processing High-Speed Data Streams ISBN: 3662568373 ISBN-13(EAN): 9783662568378 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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