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Author: Matt Kindt
Publisher: Dark Horse Comics (Single Issues)
ISBN:
Category : Comics & Graphic Novels
Languages : en
Pages :
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Book Description
Matt Kindt! Tyler Jenkins! As Ernie and Sobrat journey deeper into the jungles of Vietnam searching for clues to a missing treasure trove of gold, they find themselves caught in-between a vicious firefight between both armies and also uncover a trail of mutilated corpses left by a mysterious killer hiding in the woods.
Author: Matt Kindt
Publisher: Dark Horse Comics (Single Issues)
ISBN:
Category : Comics & Graphic Novels
Languages : en
Pages :
Get Book Here
Book Description
Matt Kindt! Tyler Jenkins! As Ernie and Sobrat journey deeper into the jungles of Vietnam searching for clues to a missing treasure trove of gold, they find themselves caught in-between a vicious firefight between both armies and also uncover a trail of mutilated corpses left by a mysterious killer hiding in the woods.
Author: Matt Kindt
Publisher: Dark Horse Comics
ISBN: 1506728898
Category : Comics & Graphic Novels
Languages : en
Pages : 130
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Book Description
A 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.
Author: Matt Kindt
Publisher: Dark Horse Comics (Single Issues)
ISBN:
Category : Comics & Graphic Novels
Languages : en
Pages :
Get Book Here
Book Description
Matt Kindt! Tyler Jenkins! A 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.
Author: Matt Kindt
Publisher: Dark Horse Comics
ISBN: 1506721230
Category : Comics & Graphic Novels
Languages : en
Pages : 122
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Book Description
A new, horrific detective series by Matt Kindt (Ether, Mind MGMT) and Tyler Jenkins (Grass Kings)! A no-nonsense Secret Service agent and his new-age partner investigate a mysterious box known as the "Fear Case," which has appeared throughout history at sites of disaster and tragedy. Whoever comes into possession of this case must pass it on within three days or face deadly consequences. The agents must track down this Fear Case while staying one step ahead of a psychotic cult and the otherwordly forces behind the Case's existence. Collects Fear Case #1-#4.
Author: Romeo Kienzler
Publisher: Packt Publishing Ltd
ISBN: 178528522X
Category : Computers
Languages : en
Pages : 345
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Book Description
Advanced analytics on your Big Data with latest Apache Spark 2.x About This Book An advanced guide with a combination of instructions and practical examples to extend the most up-to date Spark functionalities. Extend your data processing capabilities to process huge chunk of data in minimum time using advanced concepts in Spark. Master the art of real-time processing with the help of Apache Spark 2.x Who This Book Is For If you are a developer with some experience with Spark and want to strengthen your knowledge of how to get around in the world of Spark, then this book is ideal for you. Basic knowledge of Linux, Hadoop and Spark is assumed. Reasonable knowledge of Scala is expected. What You Will Learn Examine Advanced Machine Learning and DeepLearning with MLlib, SparkML, SystemML, H2O and DeepLearning4J Study highly optimised unified batch and real-time data processing using SparkSQL and Structured Streaming Evaluate large-scale Graph Processing and Analysis using GraphX and GraphFrames Apply Apache Spark in Elastic deployments using Jupyter and Zeppelin Notebooks, Docker, Kubernetes and the IBM Cloud Understand internal details of cost based optimizers used in Catalyst, SystemML and GraphFrames Learn how specific parameter settings affect overall performance of an Apache Spark cluster Leverage Scala, R and python for your data science projects In Detail Apache Spark is an in-memory cluster-based parallel processing system that provides a wide range of functionalities such as graph processing, machine learning, stream processing, and SQL. This book aims to take your knowledge of Spark to the next level by teaching you how to expand Spark's functionality and implement your data flows and machine/deep learning programs on top of the platform. The book commences with an overview of the Spark ecosystem. It will introduce you to Project Tungsten and Catalyst, two of the major advancements of Apache Spark 2.x. You will understand how memory management and binary processing, cache-aware computation, and code generation are used to speed things up dramatically. The book extends to show how to incorporate H20, SystemML, and Deeplearning4j for machine learning, and Jupyter Notebooks and Kubernetes/Docker for cloud-based Spark. During the course of the book, you will learn about the latest enhancements to Apache Spark 2.x, such as interactive querying of live data and unifying DataFrames and Datasets. You will also learn about the updates on the APIs and how DataFrames and Datasets affect SQL, machine learning, graph processing, and streaming. You will learn to use Spark as a big data operating system, understand how to implement advanced analytics on the new APIs, and explore how easy it is to use Spark in day-to-day tasks. Style and approach This book is an extensive guide to Apache Spark modules and tools and shows how Spark's functionality can be extended for real-time processing and storage with worked examples.
Author: Matt Kindt
Publisher: Dark Horse Comics (Single Issues)
ISBN:
Category : Comics & Graphic Novels
Languages : en
Pages :
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Book Description
Matt Kindt! Tyler Jenkins! Ernie and Sobrat finds themselves pitted between US soldiers, supernatural witches, and more on their hunt for gold in this final issue to the jungle war horror story!
Author: Ben Laurie
Publisher: "O'Reilly Media, Inc."
ISBN: 0596002033
Category : Computers
Languages : en
Pages : 591
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Book Description
Describes the history of the Web server platform and covers downloading and compiling, configuring and running the program on UNIX, writing specialized modules, and establishing security routines.
Author: Arun C. Murthy
Publisher: Pearson Education
ISBN: 0321934504
Category : Computers
Languages : en
Pages : 336
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Book Description
"Apache Hadoop is helping drive the Big Data revolution. Now, its data processing has been completely overhauled: Apache Hadoop YARN provides resource management at data center scale and easier ways to create distributed applications that process petabytes of data. And now in Apache HadoopTM YARN, two Hadoop technical leaders show you how to develop new applications and adapt existing code to fully leverage these revolutionary advances." -- From the Amazon
Author: Sourav Gulati
Publisher: Packt Publishing Ltd
ISBN: 178712942X
Category : Computers
Languages : en
Pages : 338
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Book Description
Unleash the data processing and analytics capability of Apache Spark with the language of choice: Java About This Book Perform big data processing with Spark—without having to learn Scala! Use the Spark Java API to implement efficient enterprise-grade applications for data processing and analytics Go beyond mainstream data processing by adding querying capability, Machine Learning, and graph processing using Spark Who This Book Is For If you are a Java developer interested in learning to use the popular Apache Spark framework, this book is the resource you need to get started. Apache Spark developers who are looking to build enterprise-grade applications in Java will also find this book very useful. What You Will Learn Process data using different file formats such as XML, JSON, CSV, and plain and delimited text, using the Spark core Library. Perform analytics on data from various data sources such as Kafka, and Flume using Spark Streaming Library Learn SQL schema creation and the analysis of structured data using various SQL functions including Windowing functions in the Spark SQL Library Explore Spark Mlib APIs while implementing Machine Learning techniques to solve real-world problems Get to know Spark GraphX so you understand various graph-based analytics that can be performed with Spark In Detail Apache Spark is the buzzword in the big data industry right now, especially with the increasing need for real-time streaming and data processing. While Spark is built on Scala, the Spark Java API exposes all the Spark features available in the Scala version for Java developers. This book will show you how you can implement various functionalities of the Apache Spark framework in Java, without stepping out of your comfort zone. The book starts with an introduction to the Apache Spark 2.x ecosystem, followed by explaining how to install and configure Spark, and refreshes the Java concepts that will be useful to you when consuming Apache Spark's APIs. You will explore RDD and its associated common Action and Transformation Java APIs, set up a production-like clustered environment, and work with Spark SQL. Moving on, you will perform near-real-time processing with Spark streaming, Machine Learning analytics with Spark MLlib, and graph processing with GraphX, all using various Java packages. By the end of the book, you will have a solid foundation in implementing components in the Spark framework in Java to build fast, real-time applications. Style and approach This practical guide teaches readers the fundamentals of the Apache Spark framework and how to implement components using the Java language. It is a unique blend of theory and practical examples, and is written in a way that will gradually build your knowledge of Apache Spark.
Author: Mohammed J. Kabir
Publisher: Wiley
ISBN: 9780764548215
Category : Computers
Languages : en
Pages : 0
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Book Description
Best-selling author Mohammed Kabir expands coverage to include how to make practical use of the Apache Server. Written in the Bible's well-known comprehensive style, this book covers the "new" release of the award-winning Apache Web Server software.