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Every enterprise application creates data, whether it’s log messages, metrics, user activity, outgoing messages, or something else. And how to move all of this data becomes nearly as important as the data itself. If you’re an application architect, developer, or production engineer new to Apache Kafka, this practical guide shows you how to use this open source streaming platform to handle real-time data feeds. Engineers from Confluent and LinkedIn who are responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream-processing applications with this platform. Through detailed examples, you’ll learn Kafka’s design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. Understand publish-subscribe messaging and how it fits in the big data ecosystem. Explore Kafka producers and consumers for writing and reading messages Understand Kafka patterns and use-case requirements to ensure reliable data delivery Get best practices for building data pipelines and applications with Kafka Manage Kafka in production, and learn to perform monitoring, tuning, and maintenance tasks Learn the most critical metrics among Kafka’s operational measurements Explore how Kafka’s stream delivery capabilities make it a perfect source for stream processing systems
In Rotten Tomatoes' first TV-focused book, discover the best shows ever made. For the completist, The Ultimate Binge Guide is a challenge: a bingeable bucket list of all the shows you need to see before you die (or just to be super-informed at your next dinner party). For all readers, it's a fascinating look at the evolution of TV. The guide is broken down into several sections that speak to each series' place in TV history, including: Classics That Made the Molds (And Those That Broke Them):​ The Jeffersons, All in the Family, Sanford and Son, The Mary Tyler Moore Show, Get Smart, Cheers, Golden Girls, Happy Days... Tony, Walt, Don, and the Antiheroes We Loved and Hated​: Oz, Mad Men, The Sopranos, Breaking Bad, The Americans, Peaky Blinders, Ozark, The Shield, Boardwalk Empire, How To Get Away With Murder... Game-Changing Sitcoms and the Kings and Queens of Cringe: Insecure, Community, 30 Rock, Curb Your Enthusiasm, Fleabag, Black-ish, Party Down, Veep, Catastrophe, Fresh Off the Boat, Tim and Eric, Schitt's Creek, Better Things, It's Always Sunny In Philadelphia, Pen15, Freaks and Geeks, Broad City, Black Lady Sketch Show... Grown-Up Genre: Buffy The Vampire Slayer, The X-Files, Battlestar Galactica, The Expanse, Supernatural, The Walking Dead, American Horror Story, Star Trek, Watchmen, The Witcher, Stranger Things, Game of Thrones, Westworld, Doctor Who... Mysteries and Mindf--ks: Twin Peaks, Lost, Sense8, Mr. Robot, Broadchurch, The Leftovers, Fargo, Top of the Lake, Killing Eve, Wilfred, True Detective, Hannibal, Mindhunter... Reality TV and Docuseries That Captured the Zeitgeist: The Last Dance, Making A Murderer, Cheer, Tiger King, Planet Earth, RuPaul's Drag Race, Wild Wild Country, Queer Eye, The Jinx, Anthony Bourdain: Parts Unknown... In this punchy full-color guide, the editors of Rotten Tomatoes complement series write-ups with engaging infographics; fun sidebars (like a battle between the US and UK editions of The Office); and deep-dive essays on the streaming wars, superproducers to know, and the evolution of our collective viewing habits.
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. Youâ??ll explore the basic operations and common functions of Sparkâ??s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Sparkâ??s scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasetsâ??Sparkâ??s core APIsâ??through worked examples Dive into Sparkâ??s low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Sparkâ??s stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation
This is a comprehensive guide to creating and streaming media files over the Internet or over a corporate network--complete with case studies and glossary.
VTubing, short for Virtual YouTubing, is a rapidly growing digital phenomenon where creators interact with their audience using animated avatars. These avatars, often anime-inspired, are controlled using motion capture technology, allowing creators to stream content, play games, sing, and much more, all while maintaining a layer of anonymity. As the VTubing community has expanded, so has its influence on the entertainment industry, blurring the lines between virtual and real-world interactions. This eBook is designed to help those who are new to VTubers understand the basics of this fascinating culture. Whether you're a curious viewer or someone thinking about starting your VTubing journey, this guide will walk you through the essential information you need to get started. From the history of VTubers to the equipment you'll need, you'll find it all here. For those just dipping their toes into the virtual waters, the world of VTubers can seem overwhelming. There are countless channels, personalities, and platforms to explore, each with its unique appeal. This preface serves as a gateway into this diverse world, providing a simple introduction to the topics we'll cover. The evolution of technology and entertainment has made it possible for anyone to become a virtual star, and this guide aims to empower readers by giving them the knowledge and tools needed to dive into the world of VTubing. You'll not only learn about the history and technical aspects but also the nuances of creating your unique VTuber persona and interacting with your audience. VTubing is much more than entertainment—it's about building a community, expressing creativity, and embracing technology. As you go through the chapters, you'll see that VTubing is not limited to a specific genre or audience. It has opened doors for all kinds of content creators—from gamers and singers to artists and comedians. This guide will show you how VTubing offers limitless potential for anyone willing to explore it. Enjoy this journey into the vibrant and ever-evolving world of VTubers. Whether you're here to watch or participate, this beginner's guide will give you a solid foundation to navigate the virtual realm confidently.
Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages. Moving all this data is just as important as the data itself. With this updated edition, application architects, developers, and production engineers new to the Kafka streaming platform will learn how to handle data in motion. Additional chapters cover Kafka's AdminClient API, transactions, new security features, and tooling changes. Engineers from Confluent and LinkedIn responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream processing applications with this platform. Through detailed examples, you'll learn Kafka's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. You'll examine: Best practices for deploying and configuring Kafka Kafka producers and consumers for writing and reading messages Patterns and use-case requirements to ensure reliable data delivery Best practices for building data pipelines and applications with Kafka How to perform monitoring, tuning, and maintenance tasks with Kafka in production The most critical metrics among Kafka's operational measurements Kafka's delivery capabilities for stream processing systems
It’s your worst fear. Trying to live stream video… But you don’t know where to start. Yes, it’s overwhelming at first, but this short book is going to help. From the co-host of Live Streaming Tech on YouTube, comes a new guide on the best first steps to live streaming video. Most gamers and video influencers make live streaming look way too easy. In practice, it’s much harder. After over two decades of learning and applying in computer technology, Walt Roberts shares his keen insights on what you need to do to start live streaming video immediately. Would you rather grind it out and hope for the best? Or, go into live streaming video with confidence? With dozens of platforms and tons of technology, discover exactly what you need including: · When is the right time for you to go live · What gear is the best to invest in & what to avoid · Why you don’t have to wait to get paid as a live streamer & gamer · How to save your money when buying microphones, webcams or other peripherals · Where is the best live streaming platform: YouTube, Twitch, Facebook or Periscope · And, so much more! You’ll love this short read, because it’s going to get you live streaming with confidence right away. Get it now.
Updated and enhanced, the second edition of this text provides both library students and practitioners with a thorough understanding of procedural and philosophical approaches in acquisitions management. Since the last edition of this text was published over a decade ago, library acquisitions practices have changed dramatically in response to economic and industry changes and the introduction and maturation of new technologies. An essential tool kit, this updated edition covers every aspect of current acquisitions management from organization of acquisitions departments to professional ethics. The step-by-step guide takes you through acquisitions department activities from the beginning of the ordering process through making materials available to the public. You'll learn about the latest acquisitions systems, negotiating bids and RFPs, gifts and exchange, and decisions of permanence. In addition, the book provides expert guidance on relationships with vendors as well as on the publishing industry in general. Key among the updates to this second edition is information about major changes that have occurred recently, including what's new in integrated library systems, electronic resource management, and patron- and demand-driven acquisitions. An appendix offers a wealth of resources on topics related to acquisitions and includes a comprehensive glossary.
Summary Streaming Data introduces the concepts and requirements of streaming and real-time data systems. The book is an idea-rich tutorial that teaches you to think about how to efficiently interact with fast-flowing data. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology As humans, we're constantly filtering and deciphering the information streaming toward us. In the same way, streaming data applications can accomplish amazing tasks like reading live location data to recommend nearby services, tracking faults with machinery in real time, and sending digital receipts before your customers leave the shop. Recent advances in streaming data technology and techniques make it possible for any developer to build these applications if they have the right mindset. This book will let you join them. About the Book Streaming Data is an idea-rich tutorial that teaches you to think about efficiently interacting with fast-flowing data. Through relevant examples and illustrated use cases, you'll explore designs for applications that read, analyze, share, and store streaming data. Along the way, you'll discover the roles of key technologies like Spark, Storm, Kafka, Flink, RabbitMQ, and more. This book offers the perfect balance between big-picture thinking and implementation details. What's Inside The right way to collect real-time data Architecting a streaming pipeline Analyzing the data Which technologies to use and when About the Reader Written for developers familiar with relational database concepts. No experience with streaming or real-time applications required. About the Author Andrew Psaltis is a software engineer focused on massively scalable real-time analytics. Table of Contents PART 1 - A NEW HOLISTIC APPROACH Introducing streaming data Getting data from clients: data ingestion Transporting the data from collection tier: decoupling the data pipeline Analyzing streaming data Algorithms for data analysis Storing the analyzed or collected data Making the data available Consumer device capabilities and limitations accessing the data PART 2 - TAKING IT REAL WORLD Analyzing Meetup RSVPs in real time
Are you a web developer or do you write Internet of things (IoT) software? If so, you would know that many web and IoT development projects these days require the ability to establish a persistent connection between a client and a server without having to keep sending repeated requests from the client. For example, a user of a live chat would want to know in real time that they have received a new message. Or an IoT device may need to be sent a command in real time. As you may also know, such functionality may be hard to implement. However, if you can build your server-side application on ASP.NET Core, there is a way to make this whole process easy. There is a library called SignalR, which is included in ASP.NET Core. SignalR doesn't only enable you to achieve real-time two-way communication between applications. It also substantially simplifies the process of enabling all of this in the code. Under the hood, it uses various two-way communication protocols, such as WebSocket. However, it abstracts away all the implementation complexity of these protocols. To the developer, working with this library will mostly consists of writing simple and easily readable statements In this book, we will cover everything you would need to know about using SignalR on .NET 6, so you will see how to integrate it with the the latest features on ASP.NET Core 6 and C# 10. We will cover much more than you can find in the official documentation of the library. For example, you will learn how to connect a plain WebSocket client to it, which may help you to write a client in a language that isn't officially supported. Likewise, we will cover many concepts that aren't directly related to SignalR, but are important to its production-ready implementation. These would include single sign-on, certificate authorization, logging, metrics and scaling out. By the end of this book, you would be able to identify the situations where SignalR is the best tool for the job and you would be fully able to implement it.