The Apache Ignite Book PDF Download
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| Author | : Michael Zheludkov |
| Publisher | : Lulu.com |
| Total Pages | : 642 |
| Release | : 2019-02-25 |
| Genre | : Computers |
| ISBN | : 0359439373 |
Download The Apache Ignite Book Book in PDF, ePub and Kindle
Apache Ignite is one of the most widely used open source memory-centric distributed, caching, and processing platform. This allows the users to use the platform as an in-memory computing framework or a full functional persistence data stores with SQL and ACID transaction support. On the other hand, Apache Ignite can be used for accelerating existing Relational and NoSQL databases, processing events & streaming data or developing Microservices in fault-tolerant fashion. This book addressed anyone interested in learning in-memory computing and distributed database. This book intends to provide someone with little to no experience of Apache Ignite with an opportunity to learn how to use this platform effectively from scratch taking a practical hands-on approach to learning. Please see the table of contents for more details.
| Author | : Sujoy Acharya |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 253 |
| Release | : 2018-11-30 |
| Genre | : Computers |
| ISBN | : 1789344069 |
Download Apache Ignite Quick Start Guide Book in PDF, ePub and Kindle
Build efficient, high-performance & scalable systems to process large volumes of data with Apache Ignite Key FeaturesUnderstand Apache Ignite's in-memory technologyCreate High-Performance app components with IgniteBuild a real-time data streaming and complex event processing systemBook Description Apache 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 for The book is for Big Data professionals who want to learn the essentials of Apache Ignite. Prior experience in Java is necessary.
| Author | : Shamim bhuiyan |
| Publisher | : Lulu.com |
| Total Pages | : 360 |
| Release | : 2017-04-08 |
| Genre | : Computers |
| ISBN | : 1365732355 |
Download High Performance in-memory computing with Apache Ignite Book in PDF, ePub and Kindle
This book covers a verity of topics, including in-memory data grid, highly available service grid, streaming (event processing for IoT and fast data) and in-memory computing use cases from high-performance computing to get performance gains. The book will be particularly useful for those, who have the following use cases: 1) You have a high volume of ACID transactions in your system. 2) You have database bottleneck in your application and want to solve the problem. 3) You want to develop and deploy Microservices in a distributed fashion. 4) You have an existing Hadoop ecosystem (OLAP) and want to improve the performance of map/reduce jobs without making any changes in your existing map/reduce jobs. 5) You want to share Spark RDD directly in-memory (without storing the state into the disk) 7) You are planning to process continuous never-ending streams and complex events of data. 8) You want to use distributed computations in parallel fashion to gain high performance.
| Author | : Terry Mort |
| Publisher | : Simon and Schuster |
| Total Pages | : 279 |
| Release | : 2021-11-15 |
| Genre | : History |
| ISBN | : 1639361340 |
Download The Wrath of Cochise Book in PDF, ePub and Kindle
In February 1861, the twelve-year-old son of Arizona rancher John Ward was kidnapped by Apaches. What followed would ignite a Southwestern frontier war between the Chiricahuas and the US Army that would last twenty-five years. In the days following the initial melee, innocent passersby would be taken as hostages on both sides, and almost all of them would be brutally slaughtered. Thousands of lives would be lost, the economies of Arizona and New Mexico would be devastated, and in the end, the Chiricahua way of life would essentially cease to exist. In a gripping narrative that often reads like an old-fashioned Western novel, Terry Mort explores the collision of these two radically different cultures in a masterful account of one of the bloodiest conflicts in our frontier history.
| Author | : Thomas Weise |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 282 |
| Release | : 2017-11-30 |
| Genre | : Computers |
| ISBN | : 1788294114 |
Download Learning Apache Apex Book in PDF, ePub and Kindle
Designing and writing a real-time streaming publication with Apache Apex About This Book Get a clear, practical approach to real-time data processing Program Apache Apex streaming applications This book shows you Apex integration with the open source Big Data ecosystem Who This Book Is For This book assumes knowledge of application development with Java and familiarity with distributed systems. Familiarity with other real-time streaming frameworks is not required, but some practical experience with other big data processing utilities might be helpful. What You Will Learn Put together a functioning Apex application from scratch Scale an Apex application and configure it for optimal performance Understand how to deal with failures via the fault tolerance features of the platform Use Apex via other frameworks such as Beam Understand the DevOps implications of deploying Apex In Detail Apache Apex is a next-generation stream processing framework designed to operate on data at large scale, with minimum latency, maximum reliability, and strict correctness guarantees. Half of the book consists of Apex applications, showing you key aspects of data processing pipelines such as connectors for sources and sinks, and common data transformations. The other half of the book is evenly split into explaining the Apex framework, and tuning, testing, and scaling Apex applications. Much of our economic world depends on growing streams of data, such as social media feeds, financial records, data from mobile devices, sensors and machines (the Internet of Things - IoT). The projects in the book show how to process such streams to gain valuable, timely, and actionable insights. Traditional use cases, such as ETL, that currently consume a significant chunk of data engineering resources are also covered. The final chapter shows you future possibilities emerging in the streaming space, and how Apache Apex can contribute to it. Style and approach This book is divided into two major parts: first it explains what Apex is, what its relevant parts are, and how to write well-built Apex applications. The second part is entirely application-driven, walking you through Apex applications of increasing complexity.
| Author | : Dayong Du |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 203 |
| Release | : 2018-06-30 |
| Genre | : Computers |
| ISBN | : 1789136512 |
Download Apache Hive Essentials Book in PDF, ePub and Kindle
This book takes you on a fantastic journey to discover the attributes of big data using Apache Hive. Key Features Grasp 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 ecosystem Uses practical, example-oriented scenarios to cover all the newly released features of Apache Hive 2.3.3 Book Description In 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 problems What you will learn Create and set up the Hive environment Discover how to use Hive's definition language to describe data Discover interesting data by joining and filtering datasets in Hive Transform data by using Hive sorting, ordering, and functions Aggregate and sample data in different ways Boost Hive query performance and enhance data security in Hive Customize Hive to your needs by using user-defined functions and integrate it with other tools Who this book is for If 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.
| Author | : Ari Kelman |
| Publisher | : Harvard University Press |
| Total Pages | : 353 |
| Release | : 2013-02-11 |
| Genre | : History |
| ISBN | : 0674071034 |
Download A Misplaced Massacre Book in PDF, ePub and Kindle
In the early morning of November 29, 1864, with the fate of the Union still uncertain, part of the First Colorado and nearly all of the Third Colorado volunteer regiments, commanded by Colonel John Chivington, surprised hundreds of Cheyenne and Arapaho people camped on the banks of Sand Creek in southeastern Colorado Territory. More than 150 Native Americans were slaughtered, the vast majority of them women, children, and the elderly, making it one of the most infamous cases of state-sponsored violence in U.S. history. A Misplaced Massacre examines the ways in which generations of Americans have struggled to come to terms with the meaning of both the attack and its aftermath, most publicly at the 2007 opening of the Sand Creek Massacre National Historic Site. This site opened after a long and remarkably contentious planning process. Native Americans, Colorado ranchers, scholars, Park Service employees, and politicians alternately argued and allied with one another around the question of whether the nation’s crimes, as well as its achievements, should be memorialized. Ari Kelman unearths the stories of those who lived through the atrocity, as well as those who grappled with its troubling legacy, to reveal how the intertwined histories of the conquest and colonization of the American West and the U.S. Civil War left enduring national scars. Combining painstaking research with storytelling worthy of a novel, A Misplaced Massacre probes the intersection of history and memory, laying bare the ways differing groups of Americans come to know a shared past.
| Author | : Jack McLean |
| Publisher | : Ballantine Books |
| Total Pages | : 258 |
| Release | : 2010-05-25 |
| Genre | : Biography & Autobiography |
| ISBN | : 034551016X |
Download Loon Book in PDF, ePub and Kindle
“Kids like me didn’t go to Vietnam,” writes Jack McLean in his compulsively readable memoir. Raised in suburban New Jersey, he attended the Phillips Academy in Andover, MA, but decided to put college on hold. After graduation in the spring of 1966, faced with the mandatory military draft, he enlisted in the United States Marine Corps for a two-year stint. “Vietnam at the time was a country, and not yet a war,” he writes. It didn’t remain that way for long. A year later, after boot camp at Parris Island, South Carolina, and stateside duty in Barstow, California, the Vietnam War was reaching its peak. McLean, like most available Marines, was retrained at Camp Pendleton, California, and sent to Vietnam as a grunt to serve in an infantry company in the northernmost reaches of South Vietnam. McLean’s story climaxes with the horrific three-day Battle for Landing Zone Loon in June, 1968. Fought on a remote hill in the northwestern corner of South Vietnam, McLean bore witness to the horror of war and was forever changed. He returned home six weeks later to a country largely ambivalent to his service. Written with honesty and insight, Loon is a powerful coming-of-age portrait of a boy who bears witness to some of the most tumultuous events in our history, both in Vietnam and back home.
| Author | : Michael Bowles |
| Publisher | : John Wiley & Sons |
| Total Pages | : 361 |
| Release | : 2015-04-27 |
| Genre | : Computers |
| ISBN | : 1118961749 |
Download Machine Learning in Python Book in PDF, ePub and Kindle
Learn a simpler and more effective way to analyze data and predict outcomes with Python Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this book is able to provide full descriptions of the mechanisms at work, and the examples that illustrate the machinery with specific, hackable code. The algorithms are explained in simple terms with no complex math and applied using Python, with guidance on algorithm selection, data preparation, and using the trained models in practice. You will learn a core set of Python programming techniques, various methods of building predictive models, and how to measure the performance of each model to ensure that the right one is used. The chapters on penalized linear regression and ensemble methods dive deep into each of the algorithms, and you can use the sample code in the book to develop your own data analysis solutions. Machine learning algorithms are at the core of data analytics and visualization. In the past, these methods required a deep background in math and statistics, often in combination with the specialized R programming language. This book demonstrates how machine learning can be implemented using the more widely used and accessible Python programming language. Predict outcomes using linear and ensemble algorithm families Build predictive models that solve a range of simple and complex problems Apply core machine learning algorithms using Python Use sample code directly to build custom solutions Machine learning doesn't have to be complex and highly specialized. Python makes this technology more accessible to a much wider audience, using methods that are simpler, effective, and well tested. Machine Learning in Python shows you how to do this, without requiring an extensive background in math or statistics.
| Author | : Travis Heath |
| Publisher | : Taylor & Francis |
| Total Pages | : 259 |
| Release | : 2022-06-19 |
| Genre | : Psychology |
| ISBN | : 1000587185 |
Download Reimagining Narrative Therapy Through Practice Stories and Autoethnography Book in PDF, ePub and Kindle
Reimagining Narrative Therapy Through Practice Stories and Autoethnography takes a new pedagogical approach to teaching and learning in contemporary narrative therapy, based in autoethnography and storytelling. The individual client stories aim to paint each therapeutic meeting in such detail that the reader will come to feel as though they actually know the two or more people in the room. This approach moves beyond the standard narrative practice of teaching by transcripts and steps into teaching narrative therapy through autoethnography. The intention of these 'teaching tales' is to offer the reader an opportunity to enter into the very 'heart and soul' of narrative therapy practice, much like reading a novel has you enter into the lives of the characters that inhabit it. This work has been used by the authors in MA and PhD level classrooms, workshops, week-long intensive courses, and conferences around the world, where it has received commendations from both newcomer and veteran narrative therapists. The aim of this book is to introduce narrative therapy and the value of integrating autoethnographic methods to students and new clinicians. It can also serve as a useful tool for advanced teachers of narrative practices. In addition, it will appeal to established clinicians who are curious about narrative therapy (who may be looking to add it to their practice), as well as students and scholars of autoethnography and qualitative inquiry and methods.
