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Apache Delivery Service
by Matt KindtA jungle horror story by Matt Kindt (Ether, Mind MGMT) and Tyler Jenkins (Fear Case)! Two haunted men are on a hunt in the jungles of Vietnam searching for clues to a missing treasure trove of gold that was stolen from all over Asia by a Japanese general during World War II. Eventually they find a series of hidden caves in the mountains near the coast. Bodies start showing up—murder victims and mutilated corpses. There is a rumor that the caves and gold are protected by terrifying witches that have been living in the cave system for thousands of years. As our warriors travel deeper into the mystery they learn more disturbing facts about each other and become paranoid of one another as they get closer and closer to the gold, while, at the same time, a bizarre serial killer is hunting them down.
Apache Devil (Classics To Go)
by Edgar Rice BorroughsShoz-Dijiji, or Black Bear, kidnapped by the Apaches from his white pioneer family as an infant and raised by Geronimo, is now a brave and accomplished Apache War Chief. In addition to the skills of hunting and warfare he has learned to hate violently the pin-dah-lickoyee (“white eyes”) from witnessing their consistently wretched treatments of the Apaches.
The Apache Diaspora: Four Centuries of Displacement and Survival (America in the Nineteenth Century)
by Paul ConradAcross four centuries, Apache (Ndé) peoples in the North American West confronted enslavement and forced migration schemes intended to exploit, subjugate, or eliminate them. While many Indigenous groups in the Americas lived through similar histories, Apaches were especially affected owing to their mobility, resistance, and proximity to multiple imperial powers. Spanish, Comanche, Mexican, and American efforts scattered thousands of Apaches across the continent and into the Caribbean and deeply impacted Apache groups that managed to remain in the Southwest.Based on archival research in Spain, Mexico, and the United States, as well Apache oral histories, The Apache Diaspora brings to life the stories of displaced Apaches and the kin from whom they were separated. Paul Conrad charts Apaches' efforts to survive or return home from places as far-flung as Cuba and Pennsylvania, Mexico City and Montreal. As Conrad argues, diaspora was deeply influential not only to those displaced, but also to Apache groups who managed to remain in the West, influencing the strategies of mobility and resistance for which they would become famous around the world.Through its broad chronological and geographical scope, The Apache Diaspora sheds new light on a range of topics, including genocide and Indigenous survival, the intersection of Native and African diasporas, and the rise of deportation and incarceration as key strategies of state control. As Conrad demonstrates, centuries of enslavement, warfare, and forced migrations failed to bring a final solution to the supposed problem of Apache independence and mobility. Spain, Mexico, and the United States all overestimated their own power and underestimated Apache resistance and creativity. Yet in the process, both Native and colonial societies were changed.
Apache Dream Bride
by Joan Elliott PickartTHE MAN ON THE BEDROOM FLOOR... was straight out of Kathy Maxwell's dream. But she could only stare at the lone Apache, wearing nothing but formfitting buckskins and a scowl, who rose to stand at the foot of her bed. "I am Dakota," he said. "Why have you brought me to this strange place?" Kathy was astonished at the sight before her. Somehow during the night the Native American dreamcatcher that hung above her bed had snuck into her sleep, stolen her dream man out of the 1870s and transported him here, into her present-day bedroom! Gee whiz, what was a twentieth-century girl to do?
Apache Essentials: Install, Configure, Maintain
by Darren James Harkness* Covers the most up-to-date versions of the technology. * Teaches subject using real world tutorials. * Subject is taught in a very concise, no-nonsense fashion, wasting little time on history and other fluff. Book is therefore compact and portable. It gives you just what you need. * Demystifies what is sometimes thought of as an intimidating subject. * Covers Apache for Windows, Mac/Unix, and Linux. * Full book support available online and via e-mail.
Apache Fire
by Raine Cantrell&“Raine Cantrell is a powerhouse writer whose emotional intensity keeps you enthralled.&” —Kathe Robin, RT Book Reviews Widowed and childless, Angie is named The Woman of Sorrow by Niko, a noble warrior of the Apache. But as passion ignites between them, Angie must weather the storm of prejudice and injustice for another chance at true happiness—and true love.
Apache Fire
by Elizabeth LaneA dangerous man lay near death at Rose Colby's feet-and though logic told her to flee from the unpredictable half-breed, instinct whispered a different tale. Latigo was a worthy man who desperately needed her help-and her heart...!The brave young woman made Latigo yearn for what he knew he could never have-acceptance, family...and love. Such things were not for the likes of him. For he was a renegade Apache, the white man's posse claimed, and could only bring the widowed Rose Colby more grief....
Apache Flume: Distributed Log Collection for Hadoop
by Steve HoffmanA starter guide that covers Apache Flume in detail.Apache Flume: Distributed Log Collection for Hadoop is intended for people who are responsible for moving datasets into Hadoop in a timely and reliable manner like software engineers, database administrators, and data warehouse administrators
Apache Flume: Distributed Log Collection for Hadoop - Second Edition
by Steve HoffmanIf you are a Hadoop programmer who wants to learn about Flume to be able to move datasets into Hadoop in a timely and replicable manner, then this book is ideal for you. No prior knowledge about Apache Flume is necessary, but a basic knowledge of Hadoop and the Hadoop File System (HDFS) is assumed.
Apache Geronimo 2.1: Quick Reference
by Manu T. George Vamsavardhana Reddy ChillakuruThis book is a comprehensive reference of the Apache Geronimo Application Server with easy-to-understand examples and sample applications. Different configuration items are available as self contained chapters that can be looked up independently of the other chapters so that readers can go straight to whatever part of Geronimo they want to configure. The book is packed with tips and tricks, based on the author's experience with Apache Geronimo in real-life projects. This book is intended for Java EE developers and server administrators who would like to use Geronimo for developing and deploying fully fledged Java EE 5 applications and freely distribute Geronimo with their solutions. Readers should be familiar with Java EE 5 concepts.
Apache Hadoop 3 Quick Start Guide: Learn about big data processing and analytics
by Hrishikesh Vijay KarambelkarA fast paced guide that will help you learn about Apache Hadoop 3 and its ecosystemKey FeaturesSet up, configure and get started with Hadoop to get useful insights from large data setsWork with the different components of Hadoop such as MapReduce, HDFS and YARN Learn about the new features introduced in Hadoop 3Book DescriptionApache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics, including MapReduce, YARN, and HDFS.The book begins with an overview of big data and Apache Hadoop. Then, you will set up a pseudo Hadoop development environment and a multi-node enterprise Hadoop cluster. You will see how the parallel programming paradigm, such as MapReduce, can solve many complex data processing problems.The book also covers the important aspects of the big data software development lifecycle, including quality assurance and control, performance, administration, and monitoring. You will then learn about the Hadoop ecosystem, and tools such as Kafka, Sqoop, Flume, Pig, Hive, and HBase. Finally, you will look at advanced topics, including real time streaming using Apache Storm, and data analytics using Apache Spark. By the end of the book, you will be well versed with different configurations of the Hadoop 3 cluster.What you will learnStore and analyze data at scale using HDFS, MapReduce and YARNInstall and configure Hadoop 3 in different modesUse Yarn effectively to run different applications on Hadoop based platformUnderstand and monitor how Hadoop cluster is managedConsume streaming data using Storm, and then analyze it using SparkExplore Apache Hadoop ecosystem components, such as Flume, Sqoop, HBase, Hive, and KafkaWho this book is forAspiring Big Data professionals who want to learn the essentials of Hadoop 3 will find this book to be useful. Existing Hadoop users who want to get up to speed with the new features introduced in Hadoop 3 will also benefit from this book. Having knowledge of Java programming will be an added advantage.
Apache HBase Primer
by Deepak VohraLearn the fundamental foundations and concepts of the Apache HBase (NoSQL) open source database. It covers the HBase data model, architecture, schema design, API, and administration. Apache HBase is the database for the Apache Hadoop framework. HBase is a column family based NoSQL database that provides a flexible schema model. What You'll Learn Work with the core concepts of HBase Discover the HBase data model, schema design, and architecture Use the HBase API and administration Who This Book Is For Apache HBase (NoSQL) database users, designers, developers, and admins.
Apache Hive Cookbook
by Shrey Mehrotra Saurabh Chauhan Hanish BansalEasy, hands-on recipes to help you understand Hive and its integration with frameworks that are used widely in today's big data world About This Book * Grasp a complete reference of different Hive topics. * Get to know the latest recipes in development in Hive including CRUD operations * Understand Hive internals and integration of Hive with different frameworks used in today's world. Who This Book Is For The book is intended for those who want to start in Hive or who have basic understanding of Hive framework. Prior knowledge of basic SQL command is also required What You Will Learn * Learn different features and offering on the latest Hive * Understand the working and structure of the Hive internals * Get an insight on the latest development in Hive framework * Grasp the concepts of Hive Data Model * Master the key concepts like Partition, Buckets and Statistics * Know how to integrate Hive with other frameworks such as Spark, Accumulo, etc In Detail Hive was developed by Facebook and later open sourced in apache community. Hive provides SQL like interface to run queries on Big Data frameworks. Hive provides SQL like syntax also called as HQL that includes all SQL capabilities like analytical functions which are the need of the hour in today's Big Data world. This book provides you easy installation steps with different types of metastores supported by Hive. This book has simple and easy to learn recipes for configuring Hive clients and services. You would also learn different Hive optimizations including Partitions and Bucketing. The book also cover the source code explanation of latest Hive version. Hive Query Language is being used by other frameworks including spark. Towards the end you will cover integration of Hive with these frameworks. Style and approach Starting with the basics and covering the core concepts with the practical usage, this book is a complete guide to learn and explore Hive offerings.
Apache Hive Essentials
by Dayong DuIf you are a data analyst, developer, or simply someone who wants to use Hive to explore and analyze data in Hadoop, this is the book for you. Whether you are new to big data or an expert, with this book, you will be able to master both the basic and the advanced features of Hive. Since Hive is an SQL-like language, some previous experience with the SQL language and databases is useful to have a better understanding of this book.
Apache Hive Essentials: Essential techniques to help you process, and get unique insights from, big data, 2nd Edition
by Dayong DuThis book takes you on a fantastic journey to discover the attributes of big data using Apache Hive.Key FeaturesGrasp the skills needed to write efficient Hive queries to analyze the Big Data Discover how Hive can coexist and work with other tools within the Hadoop ecosystemUses practical, example-oriented scenarios to cover all the newly released features of Apache Hive 2.3.3Book DescriptionIn this book, we prepare you for your journey into big data by frstly introducing you to backgrounds in the big data domain, alongwith the process of setting up and getting familiar with your Hive working environment.Next, the book guides you through discovering and transforming the values of big data with the help of examples. It also hones your skills in using the Hive language in an effcient manner. Toward the end, the book focuses on advanced topics, such as performance, security, and extensions in Hive, which will guide you on exciting adventures on this worthwhile big data journey.By the end of the book, you will be familiar with Hive and able to work effeciently to find solutions to big data problemsWhat you will learnCreate and set up the Hive environmentDiscover how to use Hive's definition language to describe dataDiscover interesting data by joining and filtering datasets in HiveTransform data by using Hive sorting, ordering, and functionsAggregate and sample data in different waysBoost Hive query performance and enhance data security in HiveCustomize Hive to your needs by using user-defined functions and integrate itwith other toolsWho this book is forIf you are a data analyst, developer, or simply someone who wants to quickly get started with Hive to explore and analyze Big Data in Hadoop, this is the book for you. Since Hive is an SQL-like language, some previous experience with SQL will be useful to get the most out of this book.
Apache Iceberg: Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
by Tomer Shiran Jason Hughes Alex MercedTraditional data architecture patterns are severely limited. To use these patterns, you have to ETL data into each tool—a cost-prohibitive process for making warehouse features available to all of your data. The lack of flexibility with these patterns requires you to lock into a set of priority tools and formats, which creates data silos and data drift. This practical book shows you a better way.Apache Iceberg provides the capabilities, performance, scalability, and savings that fulfill the promise of an open data lakehouse. By following the lessons in this book, you'll be able to achieve interactive, batch, machine learning, and streaming analytics with this high-performance open source format. Authors Tomer Shiran, Jason Hughes, and Alex Merced from Dremio show you how to get started with Iceberg.With this book, you'll learn:The architecture of Apache Iceberg tablesWhat happens under the hood when you perform operations on Iceberg tablesHow to further optimize Iceberg tables for maximum performanceHow to use Iceberg with popular data engines such as Apache Spark, Apache Flink, and DremioDiscover why Apache Iceberg is a foundational technology for implementing an open data lakehouse.
Apache Ignite Quick Start Guide: Distributed data caching and processing made easy
by Sujoy AcharyaBuild efficient, high-performance & scalable systems to process large volumes of data with Apache IgniteKey FeaturesUnderstand Apache Ignite's in-memory technologyCreate High-Performance app components with IgniteBuild a real-time data streaming and complex event processing systemBook DescriptionApache Ignite is a distributed in-memory platform designed to scale and process large volume of data. It can be integrated with microservices as well as monolithic systems, and can be used as a scalable, highly available and performant deployment platform for microservices. This book will teach you to use Apache Ignite for building a high-performance, scalable, highly available system architecture with data integrity.The book takes you through the basics of Apache Ignite and in-memory technologies. You will learn about installation and clustering Ignite nodes, caching topologies, and various caching strategies, such as cache aside, read and write through, and write behind. Next, you will delve into detailed aspects of Ignite’s data grid: web session clustering and querying data.You will learn how to process large volumes of data using compute grid and Ignite’s map-reduce and executor service. You will learn about the memory architecture of Apache Ignite and monitoring memory and caches. You will use Ignite for complex event processing, event streaming, and the time-series predictions of opportunities and threats. Additionally, you will go through off-heap and on-heap caching, swapping, and native and Spring framework integration with Apache Ignite.By the end of this book, you will be confident with all the features of Apache Ignite 2.x that can be used to build a high-performance system architecture.What you will learnUse Apache Ignite’s data grid and implement web session clusteringGain high performance and linear scalability with in-memory distributed data processingCreate a microservice on top of Apache Ignite that can scale and performPerform ACID-compliant CRUD operations on an Ignite cacheRetrieve data from Apache Ignite’s data grid using SQL, Scan and Lucene Text queryExplore complex event processing concepts and event streamingIntegrate your Ignite app with the Spring frameworkWho this book is forThe book is for Big Data professionals who want to learn the essentials of Apache Ignite. Prior experience in Java is necessary.
Apache JMeter
by Emily H. HaliliThis book is focussed on learning and understanding JMeter. It starts with a basic introduction and installation, followed by using JMeter to test web applications. It proceeds to show how to use JMeter to perform load testing and also to test the functional behavior of the target web application. The discussion continues to include testing servers other than web application servers, and demonstrates the use of some of JMeter's built-in functions. This book aims to give readers an introductory view of JMeter, and gives a brief and realistic overview to those researching for an ideal testing tool to use in testing projects. The book is written in a straightforward, clear way, with plenty of step-by-step instructions and illustrative screenshots. The ideal readers or users of this book are experienced or novice testers who have been testing manually and now would like to automate their tests. Those testers who are already automating their testing using other tools or testing software may also want to use this book as they look for alternatives. This book would also be a good point for test Managers/Leaders to start doing research on the test automation tool that may best suit their testing needs and of course, their budget JMeter's target audience is the testing community, which is generally not the hangout of developers or technical people. Almost anything one would like to do in HTTP testing will be supported by JMeter without requiring any programming. The user need not have much technical knowledge to work with JMeter. It has a simple-to-use and intuitive drag-and-drop style GUI that helps any non-technical user to get started.
Apache Junction (Stagecoach Station # #43)
by Hank MitchumFrom nearby Fort McDowell soldiers scoured the countryside for Chago, but the Army post was undermanned and riven with dissension and intrigue. When Chago ambushed and massacred an entire Army patrol, Greg Hammond vowed personal vengeance. But first he had to battle the weakness of his commanding officer, the hatred of a fellow lieutenant, and his own love for the commanding officer's daughter. And then he had to survive the most dangerous assignment of his career. While out on the hot Arizona desert Chago made plans of his own for Hammond--a cruel and savage Apache death.
Apache Kafka
by Nishant GargThe book will follow a step-by-step tutorial approach which will show the readers how to use Apache Kafka for messaging from scratch.Apache Kafka is for readers with software development experience, but no prior exposure to Apache Kafka or similar technologies is assumed. This book is also for enterprise application developers and big data enthusiasts who have worked with other publisher-subscriber based systems and now want to explore Apache Kafka as a futuristic scalable solution.
Apache Kafka 1.0 Cookbook: Over 100 practical recipes on using distributed enterprise messaging to handle real-time data
by Raúl Estrada Alexey Zinoviev Brian Gatt Sandeep KhuranaKey Features Use Kafka 1.0 features such as Confluent platforms and Kafka streams to build efficient streaming data applications to handle and process your data Integrate Kafka with other Big Data tools such as Apache Hadoop, Apache Spark, and more Hands-on recipes to help you design, operate, maintain, and secure your Apache Kafka cluster with ease Book Description Apache Kafka provides a unified, high-throughput, low-latency platform to handle real-time data feeds. This book will show you how to use Kafka efficiently, and contains practical solutions to the common problems that developers and administrators usually face while working with it. This practical guide contains easy-to-follow recipes to help you set up, configure, and use Apache Kafka in the best possible manner. You will use Apache Kafka Consumers and Producers to build effective real-time streaming applications. The book covers the recently released Kafka version 1.0, the Confluent Platform and Kafka Streams. The programming aspect covered in the book will teach you how to perform important tasks such as message validation, enrichment and composition.Recipes focusing on optimizing the performance of your Kafka cluster, and integrate Kafka with a variety of third-party tools such as Apache Hadoop, Apache Spark, and Elasticsearch will help ease your day to day collaboration with Kafka greatly. Finally, we cover tasks related to monitoring and securing your Apache Kafka cluster using tools such as Ganglia and Graphite. If you're looking to become the go-to person in your organization when it comes to working with Apache Kafka, this book is the only resource you need to have. What you will learn -Install and configure Apache Kafka 1.0 to get optimal performance -Create and configure Kafka Producers and Consumers -Operate your Kafka clusters efficiently by implementing the mirroring technique -Work with the new Confluent platform and Kafka streams, and achieve high availability with Kafka -Monitor Kafka using tools such as Graphite and Ganglia -Integrate Kafka with third-party tools such as Elasticsearch, Logstash, Apache Hadoop, Apache Spark, and more
Apache Kafka Cookbook
by Saurabh MinniOver 50 hands-on recipes to efficiently administer, maintain, and use your Apache Kafka installation About This Book * Quickly configure and manage your Kafka cluster * Learn how to use the Apache Kafka cluster and connect it with tools for big data processing * A practical guide to monitor your Apache Kafka installation Who This Book Is For If you are a programmer or big data engineer using or planning to use Apache Kafka, then this book is for you. This book has several recipes which will teach you how to effectively use Apache Kafka. You need to have some basic knowledge of Java. If you don't know big data tools, this would be your stepping stone for learning how to consume the data in these kind of systems. What You Will Learn * Learn how to configure Kafka brokers for better efficiency * Explore how to configure producers and consumers for optimal performance * Set up tools for maintaining and operating Apache Kafka * Create producers and consumers for Apache Kafka in Java * Understand how Apache Kafka can be used by several third party system for big data processing, such as Apache Storm, Apache Spark, Hadoop, and more * Monitor Apache Kafka using tools like graphite and Ganglia In Detail This book will give you details about how to manage and administer your Apache Kafka Cluster. We will cover topics like how to configure your broker, producer, and consumer for maximum efficiency for your situation. Also, you will learn how to maintain and administer your cluster for fault tolerance. We will also explore tools provided with Apache Kafka to do regular maintenance operations. We shall also look at how to easily integrate Apache Kafka with big data tools like Hadoop, Apache Spark, Apache Storm, and Elasticsearch. Style and approach Easy-to-follow, step-by-step recipes explaining from start to finish how to accomplish real-world tasks.
Apache Kafka Quick Start Guide: Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications
by Raul EstradaProcess large volumes of data in real-time while building high performance and robust data stream processing pipeline using the latest Apache Kafka 2.0 Key Features Solve practical large data and processing challenges with Kafka Tackle data processing challenges like late events, windowing, and watermarking Understand real-time streaming applications processing using Schema registry, Kafka connect, Kafka streams, and KSQL Book Description Apache Kafka is a great open source platform for handling your real-time data pipeline to ensure high-speed filtering and pattern matching on the ?y. In this book, you will learn how to use Apache Kafka for efficient processing of distributed applications and will get familiar with solving everyday problems in fast data and processing pipelines. This book focuses on programming rather than the configuration management of Kafka clusters or DevOps. It starts off with the installation and setting up the development environment, before quickly moving on to performing fundamental messaging operations such as validation and enrichment. Here you will learn about message composition with pure Kafka API and Kafka Streams. You will look into the transformation of messages in different formats, such asext, binary, XML, JSON, and AVRO. Next, you will learn how to expose the schemas contained in Kafka with the Schema Registry. You will then learn how to work with all relevant connectors with Kafka Connect. While working with Kafka Streams, you will perform various interesting operations on streams, such as windowing, joins, and aggregations. Finally, through KSQL, you will learn how to retrieve, insert, modify, and delete data streams, and how to manipulate watermarks and windows. What you will learn How to validate data with Kafka Add information to existing data ?ows Generate new information through message composition Perform data validation and versioning with the Schema Registry How to perform message Serialization and Deserialization How to perform message Serialization and Deserialization Process data streams with Kafka Streams Understand the duality between tables and streams with KSQL Who this book is for This book is for developers who want to quickly master the practical concepts behind Apache Kafka. The audience need not have come across Apache Kafka previously; however, a familiarity of Java or any JVM language will be helpful in understanding the code in this book.
Apache Karaf Cookbook
by Heath Kesler Jamie Goodyear Achim Nierbeck Johan EdstromThis book is intended for developers who have some familiarity with Apache Karaf and who want a quick reference for practical, proven tips on how to perform common tasks such as configuring Pax modules deployed in Apache Karaf, Extending HttpService with Apache Karaf. You should have working knowledge of Apache karaf, as the book provides a deeper understanding of the capabilities of Apache Karaf.
Apache Legends & Lore of Southern New Mexico: From the Sacred Mountain (American Heritage)
by Lynda A. SanchezStorytelling has been a vital and vivid tradition in Apache life. Coyote tales, the creation legend and stories of historic battles with Comanche and Anglo intruders create a colorful mosaic of tribal heritage. Percy Bigmouth, a prominent oral historian of the Mescalero and Lipan Apache tribes, realized in the early twentieth century that the old ways were waning. He wrote in longhand what he had learned from his father, Scout Bigmouth, a prison camp survivor at Fort Sumner and participant in the turbulent Apache Wars. Join author Lynda Sanchez as she brings to light the ancient legends and lore of the Apaches living in the shadow of Mescalero's Sacred Mountain. Seventy-five years in the making, this collection is a loving tribute to a way of life nearly lost to history.