Openshift Primer

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Getting Started with OpenShift

Author : Steve Pousty
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491904720
Total Pages : 105 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Getting Started with OpenShift by : Steve Pousty

Download or read book Getting Started with OpenShift written by Steve Pousty and published by "O'Reilly Media, Inc.". This book was released on 2014-05-14 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intrigued by the possibilities of developing web applications in the cloud? With this concise book, you get a quick hands-on introduction to OpenShift, the open source Platform as a Service (PaaS) offering from Red Hat. You’ll learn the steps necessary to build, deploy, and host a complete real-world application on OpenShift, without having to read long, detailed explanations of the technologies involved. Though the book uses Python, application examples in other languages are available on GitHub. If you can build web applications, use a command line, and program in Java, Python, Ruby, Node.js, PHP, or Perl, you’re ready to get started. Dive in and create your first example application with OpenShift Modify the example with your own code and hot-deploy the changes Add components such as a database, task scheduling, and monitoring Use external libraries and dependencies in your application Delve into networking, persistent storage, and backup options Explore ways to adapt your team processes to use OpenShift Learn OpenShift terms, technologies, and commands Get a list of resources to learn more about OpenShift and PaaS

OpenShift Primer

Author : Eric D. Schabell
Publisher :
ISBN 13 : 9781909264076
Total Pages : pages
Book Rating : 4.2/5 (64 download)

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Book Synopsis OpenShift Primer by : Eric D. Schabell

Download or read book OpenShift Primer written by Eric D. Schabell and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you tired of requesting a new development machine for your application? Are you sick of having to setup a new test environment for your application? Do you just want to focus on developing your application in peace without 'dorking with the stack' all of the time? We hear you. We have been there too. Have no fear, OpenShift is here! This book is all about getting you started, hands-on, with Red Hat OpenShift PaaS. It is developer focused, concentrating on getting you working on your code in the Cloud in the shortest amount of time. It is based on real world examples and covers all of the languages available to you in OpenShift.

OpenShift Primer - Revision 2: Get Your Code Into the Cloud

Author : Eric D. Shabell
Publisher :
ISBN 13 : 9781909264151
Total Pages : pages
Book Rating : 4.2/5 (641 download)

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Book Synopsis OpenShift Primer - Revision 2: Get Your Code Into the Cloud by : Eric D. Shabell

Download or read book OpenShift Primer - Revision 2: Get Your Code Into the Cloud written by Eric D. Shabell and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

DevOps with OpenShift

Author : Stefano Picozzi
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491975938
Total Pages : 150 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis DevOps with OpenShift by : Stefano Picozzi

Download or read book DevOps with OpenShift written by Stefano Picozzi and published by "O'Reilly Media, Inc.". This book was released on 2017-07-10 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter 7. Application Management; Integrated Logging; Container Logs Are Transient; Aggregated Logging; Kibana; Some General Aggregated Kibana Queries; Simple Metrics; Resource Scheduling; Quotas; Quota Scopes; Quota Enforcement; Limit Ranges and Requests Versus Limits; Multiproject Quotas; Applications; Eviction and Pod Rescheduling; Overcommit; Auto Pod Scaling; Java-Based Application Monitoring and Management Using Jolokia; Summary; Afterword; What We Covered; Final Words; Appendix A. OpenShift and 12 Factor Apps; Codebase; Dependencies; Configuration; Backing Services.

Hybrid Cloud Apps with OpenShift and Kubernetes

Author : Michael Elder
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 149208378X
Total Pages : 270 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Hybrid Cloud Apps with OpenShift and Kubernetes by : Michael Elder

Download or read book Hybrid Cloud Apps with OpenShift and Kubernetes written by Michael Elder and published by "O'Reilly Media, Inc.". This book was released on 2021-06-08 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Selling your CTO on the merits of OpenShift and Kubernetes is only the beginning. To operate and scale OpenShift, you also need to know how to manage and expose resources to application teams and continuously deliver changes to the applications running in these environments. With this practical book, new and experienced developers and operators will learn specific techniques for operationalizing OpenShift and Kubernetes in the enterprise. Industry experts Michael Elder, Jake Kitchener, and Brad Topol show you how to run OpenShift and Kubernetes in production and deliver your applications to a highly available, secure, and scalable platform. You'll learn how to build a strong foundation in advanced cluster operational topics, such as tenancy management, scheduling and capacity management, cost management, continuous delivery, and more. Examine the fundamental concepts of Kubernetes architecture Get different Kubernetes and OpenShift environments up and running Dive into advanced resource management topics, including capacity planning Learn how to support high availability inside a single cluster Use production-level approaches for continuous delivery and code promotion across clusters Explore hybrid cloud use cases, including multicluster provisioning, upgrading, and policy support Devise and deliver disaster recovery strategies

Cloud Technology: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1466665408
Total Pages : 2300 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Cloud Technology: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Cloud Technology: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2014-10-31 with total page 2300 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the Web grows and expands into ever more remote parts of the world, the availability of resources over the Internet increases exponentially. Making use of this widely prevalent tool, organizations and individuals can share and store knowledge like never before. Cloud Technology: Concepts, Methodologies, Tools, and Applications investigates the latest research in the ubiquitous Web, exploring the use of applications and software that make use of the Internets anytime, anywhere availability. By bringing together research and ideas from across the globe, this publication will be of use to computer engineers, software developers, and end users in business, education, medicine, and more.

Handbook of Research on Demand-Driven Web Services: Theory, Technologies, and Applications

Author : Sun, Zhaohao
Publisher : IGI Global
ISBN 13 : 1466658851
Total Pages : 504 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Handbook of Research on Demand-Driven Web Services: Theory, Technologies, and Applications by : Sun, Zhaohao

Download or read book Handbook of Research on Demand-Driven Web Services: Theory, Technologies, and Applications written by Sun, Zhaohao and published by IGI Global. This book was released on 2014-03-31 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the current technological world, Web services play an integral role in service computing and social networking services. This is also the case in the traditional FREG (foods, resources, energy, and goods) services because almost all traditional services are replaced fully or partially by Web services. Handbook of Research on Demand-Driven Web Services: Theory, Technologies, and Applications presents comprehensive and in-depth studies that reveal the cutting-edge theories, technologies, methodologies, and applications of demand-driven Web, mobile, and e-business services. This book provides critical perspectives for researchers and practitioners, lecturers and undergraduate/graduate students, and professionals in the fields of computing, business, service, management, and government, as well as a variety of readers from all the social strata.

Docker in Practice, Second Edition

Author : Ian Miell
Publisher : Simon and Schuster
ISBN 13 : 1638356300
Total Pages : 707 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Docker in Practice, Second Edition by : Ian Miell

Download or read book Docker in Practice, Second Edition written by Ian Miell and published by Simon and Schuster. This book was released on 2019-02-06 with total page 707 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Docker in Practice, Second Edition presents over 100 practical techniques, hand-picked to help you get the most out of Docker. Following a Problem/Solution/Discussion format, you'll walk through specific examples that you can use immediately, and you'll get expert guidance on techniques that you can apply to a whole range of scenarios. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Docker's simple idea-wrapping an application and its dependencies into a single deployable container-created a buzz in the software industry. Now, containers are essential to enterprise infrastructure, and Docker is the undisputed industry standard. So what do you do after you've mastered the basics? To really streamline your applications and transform your dev process, you need relevant examples and experts who can walk you through them. You need this book. About the Book Docker in Practice, Second Edition teaches you rock-solid, tested Docker techniques, such as replacing VMs, enabling microservices architecture, efficient network modeling, offline productivity, and establishing a container-driven continuous delivery process. Following a cookbook-style problem/solution format, you'll explore real-world use cases and learn how to apply the lessons to your own dev projects. What's inside Continuous integration and delivery The Kubernetes orchestration tool Streamlining your cloud workflow Docker in swarm mode Emerging best practices and techniques About the Reader Written for developers and engineers using Docker in production. About the Author Ian Miell and Aidan Hobson Sayers are seasoned infrastructure architects working in the UK. Together, they used Docker to transform DevOps at one of the UK's largest gaming companies. Table of Contents PART 1 - DOCKER FUNDAMENTALS Discovering Docker Understanding Docker: Inside the engine room PART 2 - DOCKER AND DEVELOPMENT Using Docker as a lightweight virtual machine Building images Running containers Day-to-day Docker Configuration management: Getting your house in order PART 3 - DOCKER AND DEVOPS Continuous integration: Speeding up your development pipeline Continuous delivery: A perfect fit for Docker principles Network simulation: Realistic environment testing without the pain PART 4 - ORCHESTRATION FROM A SINGLE MACHINE TO THE CLOUD A primer on container orchestration The data center as an OS with Docker Docker platforms PART 5 - DOCKER IN PRODUCTION Docker and security Plain sailing: Running Docker in production Docker in production: Dealing with challenges

DevOps with OpenShift

Author : Stefano Picozzi
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491976616
Total Pages : 148 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis DevOps with OpenShift by : Stefano Picozzi

Download or read book DevOps with OpenShift written by Stefano Picozzi and published by "O'Reilly Media, Inc.". This book was released on 2017-07-10 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many organizations, a big part of DevOps’ appeal is software automation using infrastructure-as-code techniques. This book presents developers, architects, and infra-ops engineers with a more practical option. You’ll learn how a container-centric approach from OpenShift, Red Hat’s cloud-based PaaS, can help your team deliver quality software through a self-service view of IT infrastructure. Three OpenShift experts at Red Hat explain how to configure Docker application containers and the Kubernetes cluster manager with OpenShift’s developer- and operational-centric tools. Discover how this infrastructure-agnostic container management platform can help companies navigate the murky area where infrastructure-as-code ends and application automation begins. Get an application-centric view of automation—and understand why it’s important Learn patterns and practical examples for managing continuous deployments such as rolling, A/B, blue-green, and canary Implement continuous integration pipelines with OpenShift’s Jenkins capability Explore mechanisms for separating and managing configuration from static runtime software Learn how to use and customize OpenShift’s source-to-image capability Delve into management and operational considerations when working with OpenShift-based application workloads Install a self-contained local version of the OpenShift environment on your computer

Data Engineering Best Practices

Author : Richard J. Schiller
Publisher : Packt Publishing Ltd
ISBN 13 : 1803247363
Total Pages : 550 pages
Book Rating : 4.8/5 (32 download)

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Book Synopsis Data Engineering Best Practices by : Richard J. Schiller

Download or read book Data Engineering Best Practices written by Richard J. Schiller and published by Packt Publishing Ltd. This book was released on 2024-10-11 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore modern data engineering techniques and best practices to build scalable, efficient, and future-proof data processing systems across cloud platforms Key Features Architect and engineer optimized data solutions in the cloud with best practices for performance and cost-effectiveness Explore design patterns and use cases to balance roles, technology choices, and processes for a future-proof design Learn from experts to avoid common pitfalls in data engineering projects Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionRevolutionize your approach to data processing in the fast-paced business landscape with this essential guide to data engineering. Discover the power of scalable, efficient, and secure data solutions through expert guidance on data engineering principles and techniques. Written by two industry experts with over 60 years of combined experience, it offers deep insights into best practices, architecture, agile processes, and cloud-based pipelines. You’ll start by defining the challenges data engineers face and understand how this agile and future-proof comprehensive data solution architecture addresses them. As you explore the extensive toolkit, mastering the capabilities of various instruments, you’ll gain the knowledge needed for independent research. Covering everything you need, right from data engineering fundamentals, the guide uses real-world examples to illustrate potential solutions. It elevates your skills to architect scalable data systems, implement agile development processes, and design cloud-based data pipelines. The book further equips you with the knowledge to harness serverless computing and microservices to build resilient data applications. By the end, you'll be armed with the expertise to design and deliver high-performance data engineering solutions that are not only robust, efficient, and secure but also future-ready.What you will learn Architect scalable data solutions within a well-architected framework Implement agile software development processes tailored to your organization's needs Design cloud-based data pipelines for analytics, machine learning, and AI-ready data products Optimize data engineering capabilities to ensure performance and long-term business value Apply best practices for data security, privacy, and compliance Harness serverless computing and microservices to build resilient, scalable, and trustworthy data pipelines Who this book is for If you are a data engineer, ETL developer, or big data engineer who wants to master the principles and techniques of data engineering, this book is for you. A basic understanding of data engineering concepts, ETL processes, and big data technologies is expected. This book is also for professionals who want to explore advanced data engineering practices, including scalable data solutions, agile software development, and cloud-based data processing pipelines.

DevOps Culture and Practice with OpenShift

Author : Tim Beattie
Publisher : Packt Publishing Ltd
ISBN 13 : 180020650X
Total Pages : 813 pages
Book Rating : 4.8/5 (2 download)

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Book Synopsis DevOps Culture and Practice with OpenShift by : Tim Beattie

Download or read book DevOps Culture and Practice with OpenShift written by Tim Beattie and published by Packt Publishing Ltd. This book was released on 2021-08-23 with total page 813 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide to making the best use of the OpenShift container platform based on the real-life experiences, practices, and culture within Red Hat Open Innovation Labs Key FeaturesLearn how modern software companies deliver business outcomes that matter by focusing on DevOps culture and practicesAdapt Open Innovation Labs culture and foundational practices from the Open Practice LibraryImplement a metrics-driven approach to application, platform, and product, understanding what to measure and how to learn and pivotBook Description DevOps Culture and Practice with OpenShift features many different real-world practices - some people-related, some process-related, some technology-related - to facilitate successful DevOps, and in turn OpenShift, adoption within your organization. It introduces many DevOps concepts and tools to connect culture and practice through a continuous loop of discovery, pivots, and delivery underpinned by a foundation of collaboration and software engineering. Containers and container-centric application lifecycle management are now an industry standard, and OpenShift has a leading position in a flourishing market of enterprise Kubernetes-based product offerings. DevOps Culture and Practice with OpenShift provides a roadmap for building empowered product teams within your organization. This guide brings together lean, agile, design thinking, DevOps, culture, facilitation, and hands-on technical enablement all in one book. Through a combination of real-world stories, a practical case study, facilitation guides, and technical implementation details, DevOps Culture and Practice with OpenShift provides tools and techniques to build a DevOps culture within your organization on Red Hat's OpenShift Container Platform. What you will learnImplement successful DevOps practices and in turn OpenShift within your organizationDeal with segregation of duties in a continuous delivery worldUnderstand automation and its significance through an application-centric viewManage continuous deployment strategies, such as A/B, rolling, canary, and blue-greenLeverage OpenShift’s Jenkins capability to execute continuous integration pipelinesManage and separate configuration from static runtime softwareMaster communication and collaboration enabling delivery of superior software products at scale through continuous discovery and continuous deliveryWho this book is for This book is for anyone with an interest in DevOps practices with OpenShift or other Kubernetes platforms. This DevOps book gives software architects, developers, and infra-ops engineers a practical understanding of OpenShift, how to use it efficiently for the effective deployment of application architectures, and how to collaborate with users and stakeholders to deliver business-impacting outcomes.

MLOps with Red Hat OpenShift

Author : Ross Brigoli
Publisher : Packt Publishing Ltd
ISBN 13 : 1805125850
Total Pages : 238 pages
Book Rating : 4.8/5 (51 download)

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Book Synopsis MLOps with Red Hat OpenShift by : Ross Brigoli

Download or read book MLOps with Red Hat OpenShift written by Ross Brigoli and published by Packt Publishing Ltd. This book was released on 2024-01-31 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build and manage MLOps pipelines with this practical guide to using Red Hat OpenShift Data Science, unleashing the power of machine learning workflows Key Features Grasp MLOps and machine learning project lifecycle through concept introductions Get hands on with provisioning and configuring Red Hat OpenShift Data Science Explore model training, deployment, and MLOps pipeline building with step-by-step instructions Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMLOps with OpenShift offers practical insights for implementing MLOps workflows on the dynamic OpenShift platform. As organizations worldwide seek to harness the power of machine learning operations, this book lays the foundation for your MLOps success. Starting with an exploration of key MLOps concepts, including data preparation, model training, and deployment, you’ll prepare to unleash OpenShift capabilities, kicking off with a primer on containers, pods, operators, and more. With the groundwork in place, you’ll be guided to MLOps workflows, uncovering the applications of popular machine learning frameworks for training and testing models on the platform. As you advance through the chapters, you’ll focus on the open-source data science and machine learning platform, Red Hat OpenShift Data Science, and its partner components, such as Pachyderm and Intel OpenVino, to understand their role in building and managing data pipelines, as well as deploying and monitoring machine learning models. Armed with this comprehensive knowledge, you’ll be able to implement MLOps workflows on the OpenShift platform proficiently.What you will learn Build a solid foundation in key MLOps concepts and best practices Explore MLOps workflows, covering model development and training Implement complete MLOps workflows on the Red Hat OpenShift platform Build MLOps pipelines for automating model training and deployments Discover model serving approaches using Seldon and Intel OpenVino Get to grips with operating data science and machine learning workloads in OpenShift Who this book is for This book is for MLOps and DevOps engineers, data architects, and data scientists interested in learning the OpenShift platform. Particularly, developers who want to learn MLOps and its components will find this book useful. Whether you’re a machine learning engineer or software developer, this book serves as an essential guide to building scalable and efficient machine learning workflows on the OpenShift platform.

DevOps with OpenShift

Author : Mike Hepburn. Noel O'Connor. Stefano Picozzi
Publisher :
ISBN 13 : 9781491975954
Total Pages : pages
Book Rating : 4.9/5 (759 download)

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Book Synopsis DevOps with OpenShift by : Mike Hepburn. Noel O'Connor. Stefano Picozzi

Download or read book DevOps with OpenShift written by Mike Hepburn. Noel O'Connor. Stefano Picozzi and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Accelerating Modernization with Agile Integration

Author : Adeline SE Chun
Publisher : IBM Redbooks
ISBN 13 : 0738458368
Total Pages : 650 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis Accelerating Modernization with Agile Integration by : Adeline SE Chun

Download or read book Accelerating Modernization with Agile Integration written by Adeline SE Chun and published by IBM Redbooks. This book was released on 2020-07-01 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: The organization pursuing digital transformation must embrace new ways to use and deploy integration technologies, so they can move quickly in a manner appropriate to the goals of multicloud, decentralization, and microservices. The integration layer must transform to allow organizations to move boldly in building new customer experiences, rather than forcing models for architecture and development that pull away from maximizing the organization's productivity. Many organizations have started embracing agile application techniques, such as microservice architecture, and are now seeing the benefits of that shift. This approach complements and accelerates an enterprise's API strategy. Businesses should also seek to use this approach to modernize their existing integration and messaging infrastructure to achieve more effective ways to manage and operate their integration services in their private or public cloud. This IBM® Redbooks® publication explores the merits of what we refer to as agile integration; a container-based, decentralized, and microservice-aligned approach for integration solutions that meets the demands of agility, scalability, and resilience required by digital transformation. It also discusses how the IBM Cloud Pak for Integration marks a significant leap forward in integration technology by embracing both a cloud-native approach and container technology to achieve the goals of agile integration. The target audiences for this book are cloud integration architects, IT specialists, and application developers.

Architecting Modern Data Platforms

Author : Jan Kunigk
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491969229
Total Pages : 636 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Architecting Modern Data Platforms by : Jan Kunigk

Download or read book Architecting Modern Data Platforms written by Jan Kunigk and published by "O'Reilly Media, Inc.". This book was released on 2018-12-05 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt: There’s a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you’ll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern data platform. Ideal for enterprise architects, IT managers, application architects, and data engineers, this book shows you how to overcome the many challenges that emerge during Hadoop projects. You’ll explore the vast landscape of tools available in the Hadoop and big data realm in a thorough technical primer before diving into: Infrastructure: Look at all component layers in a modern data platform, from the server to the data center, to establish a solid foundation for data in your enterprise Platform: Understand aspects of deployment, operation, security, high availability, and disaster recovery, along with everything you need to know to integrate your platform with the rest of your enterprise IT Taking Hadoop to the cloud: Learn the important architectural aspects of running a big data platform in the cloud while maintaining enterprise security and high availability

Storage Systems

Author : Alexander Thomasian
Publisher : Academic Press
ISBN 13 : 0323908098
Total Pages : 748 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Storage Systems by : Alexander Thomasian

Download or read book Storage Systems written by Alexander Thomasian and published by Academic Press. This book was released on 2021-10-13 with total page 748 pages. Available in PDF, EPUB and Kindle. Book excerpt: Storage Systems: Organization, Performance, Coding, Reliability and Their Data Processing was motivated by the 1988 Redundant Array of Inexpensive/Independent Disks proposal to replace large form factor mainframe disks with an array of commodity disks. Disk loads are balanced by striping data into strips—with one strip per disk— and storage reliability is enhanced via replication or erasure coding, which at best dedicates k strips per stripe to tolerate k disk failures. Flash memories have resulted in a paradigm shift with Solid State Drives (SSDs) replacing Hard Disk Drives (HDDs) for high performance applications. RAID and Flash have resulted in the emergence of new storage companies, namely EMC, NetApp, SanDisk, and Purestorage, and a multibillion-dollar storage market. Key new conferences and publications are reviewed in this book.The goal of the book is to expose students, researchers, and IT professionals to the more important developments in storage systems, while covering the evolution of storage technologies, traditional and novel databases, and novel sources of data. We describe several prototypes: FAWN at CMU, RAMCloud at Stanford, and Lightstore at MIT; Oracle's Exadata, AWS' Aurora, Alibaba's PolarDB, Fungible Data Center; and author's paper designs for cloud storage, namely heterogeneous disk arrays and hierarchical RAID. Surveys storage technologies and lists sources of data: measurements, text, audio, images, and video Familiarizes with paradigms to improve performance: caching, prefetching, log-structured file systems, and merge-trees (LSMs) Describes RAID organizations and analyzes their performance and reliability Conserves storage via data compression, deduplication, compaction, and secures data via encryption Specifies implications of storage technologies on performance and power consumption Exemplifies database parallelism for big data, analytics, deep learning via multicore CPUs, GPUs, FPGAs, and ASICs, e.g., Google's Tensor Processing Units

Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications

Author : Gilberto Rivera
Publisher : Springer Nature
ISBN 13 : 3031383257
Total Pages : 597 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications by : Gilberto Rivera

Download or read book Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications written by Gilberto Rivera and published by Springer Nature. This book was released on 2023-10-20 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the age of transformative artificial intelligence (AI), which has the potential to revolutionize our lives, this book provides a comprehensive exploration of successful research and applications in AI and data analytics. Covering innovative approaches, advanced algorithms, and data analysis methodologies, this book addresses complex problems across topics such as machine learning, pattern recognition, data mining, optimization, and predictive modeling. With clear explanations, practical examples, and cutting-edge research, this book seeks to expand the understanding of a wide readership, including students, researchers, practitioners, and technology enthusiasts eager to explore these exciting fields. Featuring real-world applications in education, health care, climate modeling, cybersecurity, smart transportation, conversational systems, and material analysis, among others, this book highlights how these technologies can drive innovation and generate competitive advantages.