A Zookeeper's Guide to Dating


Book Description

Wallflower janitor Emily has dreamed of being a zookeeper their entire life. But they’ve been passed over again and again for promotion. Asked out by a gay man who thinks they’re named ‘Emil,’ they feel happy for the first time in forever. Jeremi is outgoing, friendly, driven… and his forgetfulness has lost him more boyfriends than he can count. When he meets an adorable twink at the zoo, Jeremi vows: this time will be different. Their first date tanks. Jeremi tries to salvage things by offering to be Emil’s job coach, yet he can’t help but want to be more than just friends. As Emil’s egg cracks and their self-confidence grows, Emil yearns for more from Jeremi. Yet they worry they’re not what Jeremi is looking for... Is their relationship doomed to die in captivity? This 30,000 word novella is a low-stakes sweet M/M romance with a trans-masc main character, and is a low-stakes, homophobia-free feel good story with a happily ever after. Each book in the T-Guides series stands alone and they can be read in any order. A Zookeeper's Guide is written in alternating first-person POV.




A Zookeeper's Guide to Dating


Book Description

Wallflower janitor Emily has dreamed of being a zookeeper their entire life. But they've been passed over again and again for promotion. Asked out by a gay man who thinks they're named 'Emil,' they feel happy for the first time in forever.Jeremi is outgoing, friendly, driven? and his forgetfulness has lost him more boyfriends than he can count. When he meets an adorable twink at the zoo, Jeremi vows: this time will be different.Their first date tanks.Jeremi tries to salvage things by offering to be Emil's job coach, yet he can't help but want to be more than just friends.As Emil's egg cracks and their self-confidence grows, Emil yearns for more from Jeremi. Yet they worry they're not what Jeremi is looking for...Is their relationship doomed to die in captivity?This 30,000 word novella is a low-stakes sweet M/M romance with a trans-masc main character, and is a low-stakes, homophobia-free feel good steamy story with a happily ever after. Each book in the T-Guides series stands alone and they can be read in any order. A Zookeeper's Guide is written in alternating first-person POV.




A Day in the Life of a Zookeeper


Book Description

Explains what zookeepers do during a typical day.




ZooKeeper


Book Description

Building distributed applications is difficult enough without having to coordinate the actions that make them work. This practical guide shows how Apache ZooKeeper helps you manage distributed systems, so you can focus mainly on application logic. Even with ZooKeeper, implementing coordination tasks is not trivial, but this book provides good practices to give you a head start, and points out caveats that developers and administrators alike need to watch for along the way. In three separate sections, ZooKeeper contributors Flavio Junqueira and Benjamin Reed introduce the principles of distributed systems, provide ZooKeeper programming techniques, and include the information you need to administer this service. Learn how ZooKeeper solves common coordination tasks Explore the ZooKeeper API’s Java and C implementations and how they differ Use methods to track and react to ZooKeeper state changes Handle failures of the network, application processes, and ZooKeeper itself Learn about ZooKeeper’s trickier aspects dealing with concurrency, ordering, and configuration Use the Curator high-level interface for connection management Become familiar with ZooKeeper internals and administration tools




Hadoop: The Definitive Guide


Book Description

Hadoop: The Definitive Guide helps you harness the power of your data. Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build reliable, scalable, distributed systems: programmers will find details for analyzing large datasets, and administrators will learn how to set up and run Hadoop clusters. Complete with case studies that illustrate how Hadoop solves specific problems, this book helps you: Use the Hadoop Distributed File System (HDFS) for storing large datasets, and run distributed computations over those datasets using MapReduce Become familiar with Hadoop's data and I/O building blocks for compression, data integrity, serialization, and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster, or run Hadoop in the cloud Use Pig, a high-level query language for large-scale data processing Take advantage of HBase, Hadoop's database for structured and semi-structured data Learn ZooKeeper, a toolkit of coordination primitives for building distributed systems If you have lots of data -- whether it's gigabytes or petabytes -- Hadoop is the perfect solution. Hadoop: The Definitive Guide is the most thorough book available on the subject. "Now you have the opportunity to learn about Hadoop from a master-not only of the technology, but also of common sense and plain talk."-- Doug Cutting, Hadoop Founder, Yahoo!




Apache ZooKeeper Essentials


Book Description

Whether you are a novice to ZooKeeper or already have some experience, you will be able to master the concepts of ZooKeeper and its usage with ease. This book assumes you to have some prior knowledge of distributed systems and high-level programming knowledge of C, Java, or Python, but no experience with Apache ZooKeeper is required.




Kafka: The Definitive Guide


Book Description

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




Tourism Impacts, Planning and Management


Book Description

Tourism Impacts, Planning and Management is a unique text, which links the three crucial areas of tourism: impacts, planning and management. Tourism impacts are multifaceted and are therefore difficult to plan for and manage. This title looks at all the key players involved – be they tourists, host communities or industry members – and considers a number of approaches and techniques for managing tourism impacts successfully. Now in its Fourth Edition, this bestselling text has been fully revised to include: new material on overtourism, dark tourism, child sex tourism in South East Asia, festival tourism, regional development and Artificial Intelligence updated tourism data and statistics new case studies on the economic impacts of tourism in France, the 20 places most reliant on tourism in 2018, Fáilte Ireland’s survey of good environmental practice in the industry, corporate social responsibility, as well as the above topical issues in tourism an updated Companion Website that includes PowerPoints, video and web links and a case study archive. The text is written in an accessible style and includes a plethora of features that engage and aid understanding. This accessible yet academically rigorous introduction to tourism impacts, planning and management is essential reading for all tourism students.




Kafka: The Definitive Guide


Book Description

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




Hadoop: The Definitive Guide


Book Description

Get ready to unlock the power of your data. With the fourth edition of this comprehensive guide, youâ??ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. Using Hadoop 2 exclusively, author Tom White presents new chapters on YARN and several Hadoop-related projects such as Parquet, Flume, Crunch, and Spark. Youâ??ll learn about recent changes to Hadoop, and explore new case studies on Hadoopâ??s role in healthcare systems and genomics data processing. Learn fundamental components such as MapReduce, HDFS, and YARN Explore MapReduce in depth, including steps for developing applications with it Set up and maintain a Hadoop cluster running HDFS and MapReduce on YARN Learn two data formats: Avro for data serialization and Parquet for nested data Use data ingestion tools such as Flume (for streaming data) and Sqoop (for bulk data transfer) Understand how high-level data processing tools like Pig, Hive, Crunch, and Spark work with Hadoop Learn the HBase distributed database and the ZooKeeper distributed configuration service