Yusuf aytas (29 resultados)

Soft cover. Condición: New. AYTAS, GIYASETTIN - YUSUF DOGAN - DEREN BASAK AKMAN YESILEL (Edited by) III. Uluslararasi Turk Kulturu ve Haci Bektas Veli Sempozyumu. Haci Bektas Veli'nin tarihsel kimligi, dusunce sistemi ve etkileri. 30-31 Ekim 2009, Uskup / Scopje. Ankara: Gazi Universitesi, 2009. Large 8vo., 322 p., ills. Paperback. New ISBN: 9789755071947 CATALOG: Islamica KEYWORDS: Bektashism Anatolian Islam Tasavvuf - Islamic mysticism - Sufism Islam. …

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Digital. Condición: New. Master the art of developing message-based applications with RabbitMQAbout This Book. Learn how to administer, manage, and extend your own message broker, RabbitMQ. Develop clients to make a message bridge between your software systems using RabbitMQ. Discover how to achieve proficiency with RabbitMQ with the well-defined descriptions of the topicsWho This Book Is ForIf you are an intermediate-level RabbitMQ developer, who wants to achieve professional-level expertise in the subject, this book is for you. You'll also need to have a decent understanding of message queuing.What You Will Learn. Administer RabbitMQ using different tools. Understand the roots and details of messaging, message brokers, and AMQP protocol. Scale the RabbitMQ server using the clusters and high availability techniques. Extend RabbitMQ by developing the Erlang OTP-based applications that use the RabbitMQ API. Manage the RabbitMQ server using its powerful tools. Monitor the RabbitMQ Server using different open source tools such as Nagios, Munin, and Zabbix. Ensure your RabbitMQ's security using SSL, SASL, and access control. Develop RabbitMQ clients using Java, Python, and C# with an industry exampleIn DetailRabbitMQ is one of the most powerful Open Source message broker software, which is widely used in tech companies such as Mozilla, VMware, Google, ATandT, and so on. RabbitMQ gives you lots of fantastic and easy-to-manage functionalities to control and manage the messaging facility with lots of community support. As scalability is one of our major modern problems, messaging with RabbitMQ is the main part of the solution to this problem.This book explains and demonstrates the RabbitMQ server in a detailed way. It provides you with lots of real-world examples and advanced solutions to tackle the scalability issues.You'll begin your journey with the installation and configuration of the RabbitMQ server, while also being given specific details pertaining to the subject. Next, you'll study the major problems that our server faces, including scalability and high availability, and try to get the solutions for both of these issues by using the RabbitMQ mechanisms. Following on from this, you'll get to design and develop your own plugins using the Erlang language and RabbitMQ's internal API. This knowledge will help you to start with the management and monitoring of the messages, tools, and applications. You'll also gain an understanding of the security and integrity of the messaging facilities that RabbitMQ provides. In the last few chapters, you will build and keep track of your clients (senders and receivers) using Java, Python, and C#.Style and approach An easy-to-follow guide, full of hands-on examples based around managing, monitoring, extending, and securing RabbitMQ and its internal tools. You will learn how to develop your own clients using Java, Python, and C#.…

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Condición: Gut. Zustand: Gut | Seiten: 555 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

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HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

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Digital. Condición: New. Master the art of developing message-based applications with RabbitMQAbout This Book. Learn how to administer, manage, and extend your own message broker, RabbitMQ. Develop clients to make a message bridge between your software systems using RabbitMQ. Discover how to achieve proficiency with RabbitMQ with the well-defined descriptions of the topicsWho This Book Is ForIf you are an intermediate-level RabbitMQ developer, who wants to achieve professional-level expertise in the subject, this book is for you. You'll also need to have a decent understanding of message queuing.What You Will Learn. Administer RabbitMQ using different tools. Understand the roots and details of messaging, message brokers, and AMQP protocol. Scale the RabbitMQ server using the clusters and high availability techniques. Extend RabbitMQ by developing the Erlang OTP-based applications that use the RabbitMQ API. Manage the RabbitMQ server using its powerful tools. Monitor the RabbitMQ Server using different open source tools such as Nagios, Munin, and Zabbix. Ensure your RabbitMQ's security using SSL, SASL, and access control. Develop RabbitMQ clients using Java, Python, and C# with an industry exampleIn DetailRabbitMQ is one of the most powerful Open Source message broker software, which is widely used in tech companies such as Mozilla, VMware, Google, ATandT, and so on. RabbitMQ gives you lots of fantastic and easy-to-manage functionalities to control and manage the messaging facility with lots of community support. As scalability is one of our major modern problems, messaging with RabbitMQ is the main part of the solution to this problem.This book explains and demonstrates the RabbitMQ server in a detailed way. It provides you with lots of real-world examples and advanced solutions to tackle the scalability issues.You'll begin your journey with the installation and configuration of the RabbitMQ server, while also being given specific details pertaining to the subject. Next, you'll study the major problems that our server faces, including scalability and high availability, and try to get the solutions for both of these issues by using the RabbitMQ mechanisms. Following on from this, you'll get to design and develop your own plugins using the Erlang language and RabbitMQ's internal API. This knowledge will help you to start with the management and monitoring of the messages, tools, and applications. You'll also gain an understanding of the security and integrity of the messaging facilities that RabbitMQ provides. In the last few chapters, you will build and keep track of your clients (senders and receivers) using Java, Python, and C#.Style and approach An easy-to-follow guide, full of hands-on examples based around managing, monitoring, extending, and securing RabbitMQ and its internal tools. You will learn how to develop your own clients using Java, Python, and C#.…

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Hardback. Condición: New. DESIGNING BIG DATA PLATFORMS Provides expert guidance and valuable insights on getting the most out of Big Data systemsAn array of tools are currently available for managing and processing data-some are ready-to-go solutions that can be immediately deployed, while others require complex and time-intensive setups. With such a vast range of options, choosing the right tool to build a solution can be complicated, as can determining which tools work well with each other. Designing Big Data Platforms provides clear and authoritative guidance on the critical decisions necessary for successfully deploying, operating, and maintaining Big Data systems.This highly practical guide helps readers understand how to process large amounts of data with well-known Linux tools and database solutions, use effective techniques to collect and manage data from multiple sources, transform data into meaningful business insights, and much more. Author Yusuf Aytas, a software engineer with a vast amount of big data experience, discusses the design of the ideal Big Data platform: one that meets the needs of data analysts, data engineers, data scientists, software engineers, and a spectrum of other stakeholders across an organization. Detailed yet accessible chapters cover key topics such as stream data processing, data analytics, data science, data discovery, and data security. This real-world manual for Big Data technologies:Provides up-to-date coverage of the tools currently used in Big Data processing and managementOffers step-by-step guidance on building a data pipeline, from basic scripting to distributed systemsHighlights and explains how data is processed at scaleIncludes an introduction to the foundation of a modern data platformDesigning Big Data Platforms: How to Use, Deploy, and Maintain Big Data Systems is a must-have for all professionals working with Big Data, as well researchers and students in computer science and related fields.…

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Hardcover. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 3-4 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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Condición: New. 2021. 1st Edition. Hardcover. . . . . .

Hardcover. Condición: Brand New. 310 pages. 9.25x6.25x1.00 inches. In Stock.

Condición: New. 2021. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.

Hardback. Condición: New. DESIGNING BIG DATA PLATFORMS Provides expert guidance and valuable insights on getting the most out of Big Data systemsAn array of tools are currently available for managing and processing data-some are ready-to-go solutions that can be immediately deployed, while others require complex and time-intensive setups. With such a vast range of options, choosing the right tool to build a solution can be complicated, as can determining which tools work well with each other. Designing Big Data Platforms provides clear and authoritative guidance on the critical decisions necessary for successfully deploying, operating, and maintaining Big Data systems.This highly practical guide helps readers understand how to process large amounts of data with well-known Linux tools and database solutions, use effective techniques to collect and manage data from multiple sources, transform data into meaningful business insights, and much more. Author Yusuf Aytas, a software engineer with a vast amount of big data experience, discusses the design of the ideal Big Data platform: one that meets the needs of data analysts, data engineers, data scientists, software engineers, and a spectrum of other stakeholders across an organization. Detailed yet accessible chapters cover key topics such as stream data processing, data analytics, data science, data discovery, and data security. This real-world manual for Big Data technologies:Provides up-to-date coverage of the tools currently used in Big Data processing and managementOffers step-by-step guidance on building a data pipeline, from basic scripting to distributed systemsHighlights and explains how data is processed at scaleIncludes an introduction to the foundation of a modern data platformDesigning Big Data Platforms: How to Use, Deploy, and Maintain Big Data Systems is a must-have for all professionals working with Big Data, as well researchers and students in computer science and related fields.…

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Buch. Condición: Neu. Neuware - DESIGNING BIG DATA PLATFORMSProvides expert guidance and valuable insights on getting the most out of Big Data systemsAn array of tools are currently available for managing and processing data--some are ready-to-go solutions that can be immediately deployed, while others require complex and time-intensive setups. With such a vast range of options, choosing the right tool to build a solution can be complicated, as can determining which tools work well with each other. Designing Big Data Platforms provides clear and authoritative guidance on the critical decisions necessary for successfully deploying, operating, and maintaining Big Data systems.This highly practical guide helps readers understand how to process large amounts of data with well-known Linux tools and database solutions, use effective techniques to collect and manage data from multiple sources, transform data into meaningful business insights, and much more. Author Yusuf Aytas, a software engineer with a vast amount of big data experience, discusses the design of the ideal Big Data platform: one that meets the needs of data analysts, data engineers, data scientists, software engineers, and a spectrum of other stakeholders across an organization. Detailed yet accessible chapters cover key topics such as stream data processing, data analytics, data science, data discovery, and data security. This real-world manual for Big Data technologies:\* Provides up-to-date coverage of the tools currently used in Big Data processing and management\* Offers step-by-step guidance on building a data pipeline, from basic scripting to distributed systems\* Highlights and explains how data is processed at scale\* Includes an introduction to the foundation of a modern data platformDesigning Big Data Platforms: How to Use, Deploy, and Maintain Big Data Systems is a must-have for all professionals working with Big Data, as well researchers and students in computer science and related fields.…

Hardcover. Condición: new. Hardcover. DESIGNING BIG DATA PLATFORMS Provides expert guidance and valuable insights on getting the most out of Big Data systemsAn array of tools are currently available for managing and processing datasome are ready-to-go solutions that can be immediately deployed, while others require complex and time-intensive setups. With such a vast range of options, choosing the right tool to build a solution can be complicated, as can determining which tools work well with each other. Designing Big Data Platforms provides clear and authoritative guidance on the critical decisions necessary for successfully deploying, operating, and maintaining Big Data systems.This highly practical guide helps readers understand how to process large amounts of data with well-known Linux tools and database solutions, use effective techniques to collect and manage data from multiple sources, transform data into meaningful business insights, and much more. Author Yusuf Aytas, a software engineer with a vast amount of big data experience, discusses the design of the ideal Big Data platform: one that meets the needs of data analysts, data engineers, data scientists, software engineers, and a spectrum of other stakeholders across an organization. Detailed yet accessible chapters cover key topics such as stream data processing, data analytics, data science, data discovery, and data security. This real-world manual for Big Data technologies:Provides up-to-date coverage of the tools currently used in Big Data processing and managementOffers step-by-step guidance on building a data pipeline, from basic scripting to distributed systemsHighlights and explains how data is processed at scaleIncludes an introduction to the foundation of a modern data platformDesigning Big Data Platforms: How to Use, Deploy, and Maintain Big Data Systems is a must-have for all professionals working with Big Data, as well researchers and students in computer science and related fields. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Hardcover. Condición: Brand New. 310 pages. 9.25x6.25x1.00 inches. In Stock. This item is printed on demand.

Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 726.