Stream Processing With Heron
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Stream Processing With Heron
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Author : Huijun Wu
language : en
Publisher:
Release Date : 2019
Stream Processing With Heron written by Huijun Wu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
With Early Release ebooks, you get books in their earliest form-the author's raw and unedited content as he or she writes-so you can take advantage of these technologies long before the official release of these titles. You'll also receive updates when significant changes are made, new chapters are available, and the final ebook bundle is released. For data engineers and researchers new to stream processing, this practical book provides a professional reference that focuses on Apache Heron. Authors Huijun Wu and Maosong Fu from Twitter provide the basic knowledge you need to get started with this real-time processing engine. Learn how Heron serves as a general-purpose, modular, and extensible platform that you can use to support common real-time analytics use cases. Through the course of this book, you'll discover approaches for tackling challenges in stream processing systems and applications. You'll also understand how to build streaming applications that can benefit from Heron's robustness, high performance, adaptability to cloud environments, and ease of use. With this book, you'll examine: A complete study path that shows you how to develop stream processing systems Heron's data model, system, topology submission process, architecture, and components How to compile the Heron source code Methods for migrating Apache Storm's topology to Heron Heron components, including state manager, scheduler, topology master, stream manager, instance, metrics manager, and metrics cache Heron tools, including tracker, UI, and explorer New features, such as health manager, Python topology, delivery semantics, and API server.
Heron Streaming
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Author : Huijun Wu
language : en
Publisher: Springer Nature
Release Date : 2021-04-20
Heron Streaming written by Huijun Wu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-20 with Computers categories.
This book provides both a basic understanding of stream processing in general, and practical guidance for development and research with Apache Heron in particular. It delivers to developers of streaming applications basic and systematic knowledge about Heron, which is today only scattered across project documents, technique blogs and code snippets on the Web. The book is organized in four parts: Part I describes basic knowledge about stream processing, Apache Storm, and Apache Heron (Incubating), and also introduces the Heron source repository. Part II then goes into details and describes two data models to write Heron topologies and often used topology features, including stateful processing. This part is especially targeted at software developers who write topologies using Heron APIs. Next, part III describes Heron tools, including the command-line interface and the user interface, needed to manage a single topology or multiple topologies in a data center. This part is particularly aimed at operators who deploy and manage running jobs. Eventually, part IV describes the Heron source code and how to customize or extend Heron. This part is especially suggested for software engineers who would like to contribute code to the Heron repository and who are curious about Heron insights. Overall, this book aims at professionals who want to process streaming data based on Apache Heron. A basic knowledge of Java and Bash commands for Linux is assumed.
Stream Processing With Heron
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Author : HUIJUN. FU WU (MAOSONG.)
language : en
Publisher:
Release Date : 2019-07-05
Stream Processing With Heron written by HUIJUN. FU WU (MAOSONG.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-05 with categories.
For data engineers and researchers new to stream processing, this practical book provides a professional reference that focuses on Apache Heron. Authors Huijun Wu and Maosong Fu from Twitter provide the basic knowledge you need to get started with this real-time processing engine. Learn how Heron serves as a general-purpose, modular, and extensible platform that you can use to support common real-time analytics use cases. Through the course of this book, you'll discover approaches for tackling challenges in stream processing systems and applications. You'll also understand how to build streaming applications that can benefit from Heron's robustness, high performance, adaptability to cloud environments, and ease of use. With this book, you'll examine: A complete study path that shows you how to develop stream processing systems Heron's data model, system, topology submission process, architecture, and components How to compile the Heron source code Methods for migrating Apache Storm's topology to Heron Heron components, including state manager, scheduler, topology master, stream manager, instance, metrics manager, and metrics cache Heron tools, including tracker, UI, and explorer New features, such as health manager, Python topology, delivery semantics, and API server
Grokking Streaming Systems
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Author : Josh Fischer
language : en
Publisher: Simon and Schuster
Release Date : 2022-04-19
Grokking Streaming Systems written by Josh Fischer and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-19 with Computers categories.
A friendly, framework-agnostic tutorial that will help you grok how streaming systems work—and how to build your own! In Grokking Streaming Systems you will learn how to: Implement and troubleshoot streaming systems Design streaming systems for complex functionalities Assess parallelization requirements Spot networking bottlenecks and resolve back pressure Group data for high-performance systems Handle delayed events in real-time systems Grokking Streaming Systems is a simple guide to the complex concepts behind streaming systems. This friendly and framework-agnostic tutorial teaches you how to handle real-time events, and even design and build your own streaming job that’s a perfect fit for your needs. Each new idea is carefully explained with diagrams, clear examples, and fun dialogue between perplexed personalities! About the technology Streaming systems minimize the time between receiving and processing event data, so they can deliver responses in real time. For applications in finance, security, and IoT where milliseconds matter, streaming systems are a requirement. And streaming is hot! Skills on platforms like Spark, Heron, and Kafka are in high demand. About the book Grokking Streaming Systems introduces real-time event streaming applications in clear, reader-friendly language. This engaging book illuminates core concepts like data parallelization, event windows, and backpressure without getting bogged down in framework-specific details. As you go, you’ll build your own simple streaming tool from the ground up to make sure all the ideas and techniques stick. The helpful and entertaining illustrations make streaming systems come alive as you tackle relevant examples like real-time credit card fraud detection and monitoring IoT services. What's inside Implement and troubleshoot streaming systems Design streaming systems for complex functionalities Spot networking bottlenecks and resolve backpressure Group data for high-performance systems About the reader No prior experience with streaming systems is assumed. Examples in Java. About the author Josh Fischer and Ning Wang are Apache Committers, and part of the committee for the Apache Heron distributed stream processing engine. Table of Contents PART 1 GETTING STARTED WITH STREAMING 1 Welcome to Grokking Streaming Systems 2 Hello, streaming systems! 3 Parallelization and data grouping 4 Stream graph 5 Delivery semantics 6 Streaming systems review and a glimpse ahead PART 2 STEPPING UP 7 Windowed computations 8 Join operations 9 Backpressure 10 Stateful computation 11 Wrap-up: Advanced concepts in streaming systems
Anomaly Detection And Complex Event Processing Over Iot Data Streams
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Author : Patrick Schneider
language : en
Publisher: Academic Press
Release Date : 2022-01-07
Anomaly Detection And Complex Event Processing Over Iot Data Streams written by Patrick Schneider and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-07 with Computers categories.
Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents advanced processing techniques for IoT data streams and the anomaly detection algorithms over them. The book brings new advances and generalized techniques for processing IoT data streams, semantic data enrichment with contextual information at Edge, Fog and Cloud as well as complex event processing in IoT applications. The book comprises fundamental models, concepts and algorithms, architectures and technological solutions as well as their application to eHealth. Case studies, such as the bio-metric signals stream processing are presented –the massive amount of raw ECG signals from the sensors are processed dynamically across the data pipeline and classified with modern machine learning approaches including the Hierarchical Temporal Memory and Deep Learning algorithms. The book discusses adaptive solutions to IoT stream processing that can be extended to different use cases from different fields of eHealth, to enable a complex analysis of patient data in a historical, predictive and even prescriptive application scenarios. The book ends with a discussion on ethics, emerging research trends, issues and challenges of IoT data stream processing. Provides the state-of-the-art in IoT Data Stream Processing, Semantic Data Enrichment, Reasoning and Knowledge Covers extraction (Anomaly Detection) Illustrates new, scalable and reliable processing techniques based on IoT stream technologies Offers applications to new, real-time anomaly detection scenarios in the health domain
Building Data Streaming Applications With Apache Kafka
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Author : Manish Kumar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-08-18
Building Data Streaming Applications With Apache Kafka written by Manish Kumar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-18 with Computers categories.
Design and administer fast, reliable enterprise messaging systems with Apache Kafka About This Book Build efficient real-time streaming applications in Apache Kafka to process data streams of data Master the core Kafka APIs to set up Apache Kafka clusters and start writing message producers and consumers A comprehensive guide to help you get a solid grasp of the Apache Kafka concepts in Apache Kafka with pracitcalpractical examples Who This Book Is For If you want to learn how to use Apache Kafka and the different tools in the Kafka ecosystem in the easiest possible manner, this book is for you. Some programming experience with Java is required to get the most out of this book What You Will Learn Learn the basics of Apache Kafka from scratch Use the basic building blocks of a streaming application Design effective streaming applications with Kafka using Spark, Storm &, and Heron Understand the importance of a low -latency , high- throughput, and fault-tolerant messaging system Make effective capacity planning while deploying your Kafka Application Understand and implement the best security practices In Detail Apache Kafka is a popular distributed streaming platform that acts as a messaging queue or an enterprise messaging system. It lets you publish and subscribe to a stream of records, and process them in a fault-tolerant way as they occur. This book is a comprehensive guide to designing and architecting enterprise-grade streaming applications using Apache Kafka and other big data tools. It includes best practices for building such applications, and tackles some common challenges such as how to use Kafka efficiently and handle high data volumes with ease. This book first takes you through understanding the type messaging system and then provides a thorough introduction to Apache Kafka and its internal details. The second part of the book takes you through designing streaming application using various frameworks and tools such as Apache Spark, Apache Storm, and more. Once you grasp the basics, we will take you through more advanced concepts in Apache Kafka such as capacity planning and security. By the end of this book, you will have all the information you need to be comfortable with using Apache Kafka, and to design efficient streaming data applications with it. Style and approach A step-by –step, comprehensive guide filled with practical and real- world examples
Algorithms And Architectures For Parallel Processing
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Author : Yongxuan Lai
language : en
Publisher: Springer Nature
Release Date : 2022-02-22
Algorithms And Architectures For Parallel Processing written by Yongxuan Lai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-22 with Computers categories.
The three volume set LNCS 13155, 13156, and 13157 constitutes the refereed proceedings of the 21st International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2021, which was held online during December 3-5, 2021. The total of 145 full papers included in these proceedings were carefully reviewed and selected from 403 submissions. They cover the many dimensions of parallel algorithms and architectures including fundamental theoretical approaches, practical experimental projects, and commercial components and systems. The papers were organized in topical sections as follows: Part I, LNCS 13155: Deep learning models and applications; software systems and efficient algorithms; edge computing and edge intelligence; service dependability and security algorithms; data science; Part II, LNCS 13156: Software systems and efficient algorithms; parallel and distributed algorithms and applications; data science; edge computing and edge intelligence; blockchain systems; deept learning models and applications; IoT; Part III, LNCS 13157: Blockchain systems; data science; distributed and network-based computing; edge computing and edge intelligence; service dependability and security algorithms; software systems and efficient algorithms.
Resource Management In Distributed Systems
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Author : Anwesha Mukherjee
language : en
Publisher: Springer Nature
Release Date :
Resource Management In Distributed Systems written by Anwesha Mukherjee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Big Data Analytics
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Author : Anirban Mondal
language : en
Publisher: Springer
Release Date : 2018-12-11
Big Data Analytics written by Anirban Mondal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-11 with Computers categories.
This book constitutes the refereed proceedings of the 6th International Conference on Big Data analytics, BDA 2018, held in Warangal, India, in December 2018. The 29 papers presented in this volume were carefully reviewed and selected from 93 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; financial data analytics and data streams; web and social media data; big data systems and frameworks; predictive analytics in healthcare and agricultural domains; and machine learning and pattern mining.
Database And Expert Systems Applications
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Author : Christine Strauss
language : en
Publisher: Springer Nature
Release Date : 2022-07-28
Database And Expert Systems Applications written by Christine Strauss and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-28 with Computers categories.
This two-volume set, LNCS 13426 and 13427, constitutes the thoroughly refereed proceedings of the 33rd International Conference on Database and Expert Systems Applications, DEXA 2022, held in Vienna in August 2022. The 43 full papers presented together with 20 short papers in these volumes were carefully reviewed and selected from a total of 120 submissions. The papers are organized around the following topics: Big Data Management and Analytics, Consistency, Integrity, Quality of Data, Constraint Modelling and Processing, Database Federation and Integration, Interoperability, Multi-Databases, Data and Information Semantics, Data Integration, Metadata Management, and Interoperability, Data Structures and much more.