Time Streams PDF Download
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| Author | : J. Robert King |
| Publisher | : Wizards of the Coast |
| Total Pages | : 352 |
| Release | : 2018-03-27 |
| Genre | : Fiction |
| ISBN | : 0786966416 |
Download Time Streams Book in PDF, ePub and Kindle
Urza’s Legacy Unfolds Urza Planeswalker has enlisted the most brilliant minds from across Dominaria to study at his academy on Tolaria. Together they work to bring to life the greatest artifact weapon Urza has ever devised, hoping to use it to defend their home from an imminent Phyrexian invasion. But treachery and tragedy stalk the tiny island, as Urza and his followers seek to manipulate time itself.
| Author | : Bill Bejeck |
| Publisher | : Simon and Schuster |
| Total Pages | : 410 |
| Release | : 2018-08-29 |
| Genre | : Computers |
| ISBN | : 1638356025 |
Download Kafka Streams in Action Book in PDF, ePub and Kindle
Summary Kafka Streams in Action teaches you everything you need to know to implement stream processing on data flowing into your Kafka platform, allowing you to focus on getting more from your data without sacrificing time or effort. Foreword by Neha Narkhede, Cocreator of Apache Kafka Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Not all stream-based applications require a dedicated processing cluster. The lightweight Kafka Streams library provides exactly the power and simplicity you need for message handling in microservices and real-time event processing. With the Kafka Streams API, you filter and transform data streams with just Kafka and your application. About the Book Kafka Streams in Action teaches you to implement stream processing within the Kafka platform. In this easy-to-follow book, you'll explore real-world examples to collect, transform, and aggregate data, work with multiple processors, and handle real-time events. You'll even dive into streaming SQL with KSQL! Practical to the very end, it finishes with testing and operational aspects, such as monitoring and debugging. What's inside Using the KStreams API Filtering, transforming, and splitting data Working with the Processor API Integrating with external systems About the Reader Assumes some experience with distributed systems. No knowledge of Kafka or streaming applications required. About the Author Bill Bejeck is a Kafka Streams contributor and Confluent engineer with over 15 years of software development experience. Table of Contents PART 1 - GETTING STARTED WITH KAFKA STREAMS Welcome to Kafka Streams Kafka quicklyPART 2 - KAFKA STREAMS DEVELOPMENT Developing Kafka Streams Streams and state The KTable API The Processor APIPART 3 - ADMINISTERING KAFKA STREAMS Monitoring and performance Testing a Kafka Streams applicationPART 4 - ADVANCED CONCEPTS WITH KAFKA STREAMS Advanced applications with Kafka StreamsAPPENDIXES Appendix A - Additional configuration information Appendix B - Exactly once semantics
| Author | : Michael Moorcock |
| Publisher | : Millennium Orion Publishing Group |
| Total Pages | : 457 |
| Release | : 1993 |
| Genre | : Alternative histories (Fiction) |
| ISBN | : 9781857980349 |
Download A Nomad of the Time Streams Book in PDF, ePub and Kindle
| Author | : F. A. Kilpatrick |
| Publisher | : |
| Total Pages | : 42 |
| Release | : 1989 |
| Genre | : Dyes and dyeing |
| ISBN | : |
Download Measurement of Time of Travel in Streams by Dye Tracing Book in PDF, ePub and Kindle
| Author | : |
| Publisher | : |
| Total Pages | : 218 |
| Release | : 2003 |
| Genre | : Groundwater |
| ISBN | : |
Download Residence Times and Nitrate Transport in Ground Water Discharging to Streams in the Chesapeake Bay Watershed Book in PDF, ePub and Kindle
| Author | : Josh Fischer |
| Publisher | : Simon and Schuster |
| Total Pages | : 310 |
| Release | : 2022-04-19 |
| Genre | : Computers |
| ISBN | : 1638356491 |
Download Grokking Streaming Systems Book in PDF, ePub and Kindle
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
| Author | : Mitch Seymour |
| Publisher | : O'Reilly Media |
| Total Pages | : 435 |
| Release | : 2021-02-04 |
| Genre | : Computers |
| ISBN | : 1492062464 |
Download Mastering Kafka Streams and ksqlDB Book in PDF, ePub and Kindle
Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide shows data engineers how to use these tools to build highly scalable stream processing applications for moving, enriching, and transforming large amounts of data in real time. Mitch Seymour, data services engineer at Mailchimp, explains important stream processing concepts against a backdrop of several interesting business problems. You'll learn the strengths of both Kafka Streams and ksqlDB to help you choose the best tool for each unique stream processing project. Non-Java developers will find the ksqlDB path to be an especially gentle introduction to stream processing. Learn the basics of Kafka and the pub/sub communication pattern Build stateless and stateful stream processing applications using Kafka Streams and ksqlDB Perform advanced stateful operations, including windowed joins and aggregations Understand how stateful processing works under the hood Learn about ksqlDB's data integration features, powered by Kafka Connect Work with different types of collections in ksqlDB and perform push and pull queries Deploy your Kafka Streams and ksqlDB applications to production
| Author | : Prashant Kumar Pandey |
| Publisher | : |
| Total Pages | : 348 |
| Release | : 2019-03-26 |
| Genre | : |
| ISBN | : 9789353518028 |
Download Kafka Streams - Real-time Stream Processing Book in PDF, ePub and Kindle
The book Kafka Streams: Real-time Stream Processing helps you understand the stream processing in general and apply that skill to Kafka streams programming. This book is focusing mainly on the new generation of the Kafka Streams library available in the Apache Kafka 2.x. The primary focus of this book is on Kafka Streams. However, the book also touches on the other Kafka capabilities and concepts that are necessary to grasp the Kafka Streams programming.Who should read this book?Kafka Streams: Real-time Stream Processing is written for software engineers willing to develop a stream processing application using Kafka Streams library. I am also writing this book for data architects and data engineers who are responsible for designing and building the organization's data-centric infrastructure. Another group of people is the managers and architects who do not directly work with Kafka implementation, but they work with the people who implement Kafka Streams at the ground level.What should you already know?This book assumes that the reader is familiar with the basics of Java programming language. The source code and examples in this book are using Java 8, and I will be using Java 8 lambda syntax, so experience with lambda will be helpful.Kafka Streams is a library that runs on Kafka. Having a good fundamental knowledge of Kafka is essential to get the most out of Kafka Streams. I will touch base on the mandatory Kafka concepts for those who are new to Kafka. The book also assumes that you have some familiarity and experience in running and working on the Linux operating system.Kafka Version?This book is based on Kafka Streams library available in Apache Kafka 2.x. All the source code and examples in this book are tested on Apache Kafka 2.1 open source distribution. Some chapters of this book also make use of Confluent community version to explain and demonstrate functionalities that are only available in Confluent Platform such as Schema Registry and Avro Serializer/Deserializer. This book is not a replacement for the Kafka documentation. I recommend you to frequently refer Java docs for Apache Kafka Client API as well as Kafka Streams API. You can also leverage Confluent Platform documentation for more details. Source Code Repository?All the examples and source code listings in different chapters of the book are trimmed in a readable format. The code snippet in the book is not expected to be executed independently. However, a working version of the source code for all the examples are available in the GitHub repository. You can access the GitHub repository at the below URL.https: //github.com/LearningJournal/Kafka-Streams-Real-time-Stream-Processing
| Author | : Robert G. Allen |
| Publisher | : John Wiley & Sons |
| Total Pages | : 342 |
| Release | : 2005-04-05 |
| Genre | : Business & Economics |
| ISBN | : 0471714550 |
Download Multiple Streams of Income Book in PDF, ePub and Kindle
In Multiple Streams of Income, bestselling author Robert Allen presents ten revolutionary new methods for generating over $100,000 a year—on a part-time basis, working from your home, using little or none of your own money. For this book, Allen researched hundreds of income-producing opportunities and narrowed them down to ten surefire moneymakers anyone can profit from. This revised edition includes a new chapter on a cutting-edge investing technique.
| Author | : Patrick Schneider |
| Publisher | : Academic Press |
| Total Pages | : 408 |
| Release | : 2022-01-07 |
| Genre | : Computers |
| ISBN | : 0128238194 |
Download Anomaly Detection and Complex Event Processing Over IoT Data Streams Book in PDF, ePub and Kindle
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
