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Tag: cloud computing for science and engineering

  • Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and Applications

    Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and Applications


    Price: $59.99 – $50.70
    (as of Dec 15,2024 00:10:19 UTC – Details)


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    Publisher ‏ : ‎ Springer; 2024th edition (October 5, 2023)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 1247 pages
    ISBN-10 ‏ : ‎ 3031265874
    ISBN-13 ‏ : ‎ 978-3031265877
    Item Weight ‏ : ‎ 5.25 pounds
    Dimensions ‏ : ‎ 6.3 x 2.68 x 9.53 inches

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    Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and Applications

    Remote sensing has revolutionized the way we study and monitor the Earth’s surface. With the advent of cloud-based platforms like Google Earth Engine, remote sensing data can now be analyzed at unprecedented scales and speeds.

    In this post, we will explore the fundamentals of cloud-based remote sensing using Google Earth Engine and discuss some of the key applications of this powerful platform.

    Google Earth Engine is a cloud-based platform that allows users to access and analyze a vast array of remote sensing data, including satellite imagery, LiDAR data, and climate data. The platform provides users with a range of tools and algorithms for processing and analyzing this data, making it easier than ever to conduct large-scale remote sensing studies.

    One of the key advantages of Google Earth Engine is its scalability. By harnessing the power of Google’s cloud infrastructure, users can analyze petabytes of data in a matter of seconds, allowing for rapid exploration and analysis of remote sensing data.

    Some of the key applications of cloud-based remote sensing with Google Earth Engine include:

    – Land cover and land use mapping: Google Earth Engine can be used to classify satellite imagery and map land cover and land use changes over time. This information is crucial for monitoring deforestation, urbanization, and other land cover changes.

    – Climate change monitoring: Google Earth Engine can be used to analyze climate data and track changes in temperature, precipitation, and other climate variables over time. This information is essential for understanding the impacts of climate change on our planet.

    – Natural disaster monitoring: Google Earth Engine can be used to analyze satellite imagery before and after natural disasters such as hurricanes, wildfires, and earthquakes. This information can help emergency responders assess damage and plan recovery efforts.

    Overall, cloud-based remote sensing with Google Earth Engine offers a powerful tool for studying and monitoring the Earth’s surface. By leveraging the platform’s scalability and tools, researchers can conduct large-scale remote sensing studies with unprecedented speed and efficiency.
    #CloudBased #Remote #Sensing #Google #Earth #Engine #Fundamentals #Applications

  • The Read Aloud Cloud: An Innocent’s Guide to the Tech Inside

    The Read Aloud Cloud: An Innocent’s Guide to the Tech Inside


    Price: $24.99 – $17.36
    (as of Dec 14,2024 23:05:18 UTC – Details)


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    From the Publisher

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    Publisher ‏ : ‎ Wiley; 1st edition (September 16, 2020)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 176 pages
    ISBN-10 ‏ : ‎ 1119677629
    ISBN-13 ‏ : ‎ 978-1119677628
    Item Weight ‏ : ‎ 2.31 pounds
    Dimensions ‏ : ‎ 9.3 x 0.5 x 7.3 inches

    Customers say

    Customers find the book delightful and fun to read. They appreciate the witty writing, themes, and cartoons. The illustrations are adorable and colorful, making it easy to visualize the cloud journey. Readers find the book informative and entertaining, with hard-won wisdom.

    AI-generated from the text of customer reviews

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    Are you curious about the technology behind the Read Aloud Cloud? Let’s break it down in simple terms for beginners! In this post, we’ll explore the inner workings of this innovative tool that brings text to life through audio narration. From speech synthesis to natural language processing, we’ll uncover the magic that makes the Read Aloud Cloud so effective. So grab a cup of tea and prepare to be amazed by the power of technology in the world of literature. Let’s dive in! #ReadAloudCloud #TechExplained #InnovativeTools
    #Read #Aloud #Cloud #Innocents #Guide #Tech

  • Security Chaos Engineering: Sustaining Resilience in Software and Systems

    Security Chaos Engineering: Sustaining Resilience in Software and Systems


    Price: $0.00
    (as of Dec 14,2024 21:25:40 UTC – Details)


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    In today’s digital age, the importance of security in software and systems cannot be overstated. With cyber attacks becoming increasingly sophisticated and prevalent, it is more crucial than ever for organizations to prioritize the resilience of their security measures.

    One emerging approach to ensuring the resilience of security systems is Security Chaos Engineering. Inspired by the principles of Chaos Engineering, which involves intentionally injecting failures into a system to test its resilience, Security Chaos Engineering applies this concept specifically to security measures.

    By simulating various security incidents, such as malware infections, data breaches, or DDoS attacks, organizations can identify potential vulnerabilities in their security systems and proactively address them before they are exploited by malicious actors. This proactive approach not only strengthens the overall security posture of the organization but also helps build a culture of continuous improvement and resilience.

    Incorporating Security Chaos Engineering into an organization’s security strategy requires a combination of technical expertise, collaboration across different teams, and a willingness to embrace failure as a learning opportunity. By investing in this practice, organizations can sustain the resilience of their software and systems, ultimately protecting their valuable data and assets from cyber threats.

    In conclusion, Security Chaos Engineering offers a proactive and innovative approach to ensuring the resilience of security measures in software and systems. By embracing this practice, organizations can stay ahead of cyber threats and safeguard their digital assets in an ever-evolving threat landscape.
    #Security #Chaos #Engineering #Sustaining #Resilience #Software #Systems

  • Observability with Grafana: Monitor, control, and visualize your Kubernetes and cloud platforms using the LGTM stack

    Observability with Grafana: Monitor, control, and visualize your Kubernetes and cloud platforms using the LGTM stack


    Price: $49.99 – $42.67
    (as of Dec 14,2024 20:22:56 UTC – Details)


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    Publisher ‏ : ‎ Packt Publishing; 1st edition (January 12, 2024)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 356 pages
    ISBN-10 ‏ : ‎ 1803248009
    ISBN-13 ‏ : ‎ 978-1803248004
    Item Weight ‏ : ‎ 1.36 pounds
    Dimensions ‏ : ‎ 9.25 x 7.52 x 0.74 inches

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    Observability with Grafana: Monitor, control, and visualize your Kubernetes and cloud platforms using the LGTM stack

    In today’s complex and dynamic cloud environments, having visibility into your infrastructure is crucial for maintaining performance, reliability, and security. That’s where observability comes in, allowing you to monitor, control, and visualize your Kubernetes and cloud platforms in real-time.

    One popular tool for achieving observability is Grafana, a powerful open-source platform that allows you to create, explore, and share dashboards of your metrics, logs, and traces. When combined with the LGTM stack (Logs, Grafana, Prometheus, and Tracing), you have a comprehensive solution for monitoring and troubleshooting your applications.

    Logs: With tools like Loki or Elasticsearch, you can collect and store logs from your applications and infrastructure, making it easy to search, filter, and analyze them for insights into performance issues or security threats.

    Grafana: Grafana is the visualization layer of the LGTM stack, allowing you to create custom dashboards that display your metrics, logs, and traces in a clear and actionable way. With Grafana, you can easily monitor key performance indicators, set up alerts for anomalies, and track the health of your systems.

    Prometheus: Prometheus is a powerful monitoring system that collects metrics from your applications and infrastructure, allowing you to track key performance indicators, such as CPU usage, memory consumption, and network traffic. By integrating Prometheus with Grafana, you can create dynamic dashboards that provide real-time visibility into the health of your systems.

    Tracing: Tracing tools like Jaeger or Zipkin allow you to trace the path of a request as it flows through your applications, helping you identify bottlenecks, latency issues, and errors. By integrating tracing with Grafana, you can visualize the performance of your microservices and pinpoint areas for optimization.

    By combining Logs, Grafana, Prometheus, and Tracing in the LGTM stack, you can achieve comprehensive observability into your Kubernetes and cloud platforms. With real-time monitoring, powerful visualizations, and deep insights into your infrastructure, you can proactively manage and optimize your systems for peak performance and reliability.
    #Observability #Grafana #Monitor #control #visualize #Kubernetes #cloud #platforms #LGTM #stack

  • Federal Cloud Computing: The Definitive Guide for Cloud Service Providers

    Federal Cloud Computing: The Definitive Guide for Cloud Service Providers


    Price: $18.99
    (as of Dec 14,2024 19:15:40 UTC – Details)


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    ASIN ‏ : ‎ B01N2419OB
    Publisher ‏ : ‎ Syngress; 2nd edition (January 5, 2017)
    Publication date ‏ : ‎ January 5, 2017
    Language ‏ : ‎ English
    File size ‏ : ‎ 113680 KB
    Text-to-Speech ‏ : ‎ Enabled
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 507 pages
    Page numbers source ISBN ‏ : ‎ 0128097108

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    Federal Cloud Computing: The Definitive Guide for Cloud Service Providers

    As cloud computing continues to revolutionize the way organizations store, manage, and access data, the federal government is increasingly turning to cloud services to streamline operations and improve efficiency. For cloud service providers looking to tap into this lucrative market, understanding the unique requirements and regulations governing federal cloud computing is essential.

    In this comprehensive guide, we will walk you through everything you need to know about federal cloud computing, from compliance standards to security protocols. Whether you are a seasoned cloud service provider or just starting out in the industry, this guide will provide you with the knowledge and tools you need to navigate the complex world of federal cloud computing.

    Topics covered in this guide include:

    – Understanding the Federal Risk and Authorization Management Program (FedRAMP)
    – Navigating the compliance requirements for federal cloud computing
    – Implementing security best practices for federal cloud services
    – Leveraging emerging technologies like artificial intelligence and blockchain in federal cloud computing
    – Building a successful business strategy for federal cloud service providers

    With the federal government expected to increase its investment in cloud services in the coming years, now is the time for cloud service providers to position themselves as trusted partners for federal agencies. By following the guidelines outlined in this guide, you can set yourself up for success in the rapidly growing federal cloud computing market.
    #Federal #Cloud #Computing #Definitive #Guide #Cloud #Service #Providers

  • Computer & Technology Basics: What you need to know about Hardware, Software, Internet, Cloud Computing, Networks, Computer Security, Databases, … Intelligence, File Management and Programming

    Computer & Technology Basics: What you need to know about Hardware, Software, Internet, Cloud Computing, Networks, Computer Security, Databases, … Intelligence, File Management and Programming


    Price: $11.99
    (as of Dec 14,2024 18:08:33 UTC – Details)


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    Publisher ‏ : ‎ Independently published (January 17, 2020)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 137 pages
    ISBN-10 ‏ : ‎ 1661897657
    ISBN-13 ‏ : ‎ 978-1661897659
    Item Weight ‏ : ‎ 7.8 ounces
    Dimensions ‏ : ‎ 6 x 0.31 x 9 inches

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    In today’s digital age, understanding the basics of computer and technology is essential for navigating the constantly evolving world of technology. Here are some key concepts that everyone should know about:

    1. Hardware: Hardware refers to the physical components of a computer system, such as the processor, memory, storage devices, and peripherals like keyboards and monitors. Understanding hardware can help you choose the right computer for your needs and troubleshoot hardware issues.

    2. Software: Software refers to the programs and applications that run on a computer system. This includes operating systems like Windows or macOS, as well as productivity software like Microsoft Office or Adobe Creative Suite. Knowing how to install and use software can help you maximize the potential of your computer.

    3. Internet: The internet is a global network of interconnected computers that allows for communication and information sharing. Understanding how the internet works, as well as basic internet protocols like HTTP and HTTPS, can help you navigate the web safely and efficiently.

    4. Cloud Computing: Cloud computing refers to the delivery of computing services over the internet. This includes services like online storage, virtual servers, and software as a service (SaaS). Knowing how to use cloud computing services can help you access your data and applications from anywhere.

    5. Networks: Networks are systems of interconnected computers and devices that communicate with each other. Understanding networking basics like IP addresses, routers, and switches can help you troubleshoot network issues and set up a home or office network.

    6. Computer Security: Computer security involves protecting your computer system and data from unauthorized access, viruses, and other threats. Knowing how to set up firewalls, use antivirus software, and practice good security habits can help keep your computer safe.

    7. Databases: Databases are organized collections of data that are used to store and retrieve information. Understanding database basics like SQL queries and data normalization can help you manage and analyze large amounts of data effectively.

    8. Artificial Intelligence: Artificial intelligence (AI) refers to the simulation of human intelligence by computer systems. Understanding AI concepts like machine learning and neural networks can help you understand how AI is used in various applications.

    9. File Management: File management involves organizing and managing files and folders on your computer system. Knowing how to create, move, copy, and delete files can help you keep your computer system organized and efficient.

    10. Programming: Programming involves writing instructions for a computer to execute. Understanding programming basics like algorithms, data structures, and programming languages can help you develop software applications and automate tasks on your computer.

    By familiarizing yourself with these key concepts in computer and technology basics, you can better navigate the digital world and make the most of the technology at your fingertips.
    #Computer #Technology #Basics #Hardware #Software #Internet #Cloud #Computing #Networks #Computer #Security #Databases #Intelligence #File #Management #Programming

  • Cloud Computing for Science and Engineering by Ian Foster: Used

    Cloud Computing for Science and Engineering by Ian Foster: Used



    Cloud Computing for Science and Engineering by Ian Foster: Used

    Price : 10.16

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    by Researchers Worldwide

    Cloud computing has revolutionized the way scientists and engineers conduct their research. With the ability to access vast amounts of computing power and storage resources on-demand, researchers are able to tackle complex problems and analyze massive datasets with ease.

    In his groundbreaking book, “Cloud Computing for Science and Engineering,” Ian Foster explores the many ways in which cloud computing is being used by researchers worldwide. From accelerating scientific discovery to enabling collaborative research projects, cloud computing has become an essential tool for modern research.

    Foster highlights the key benefits of cloud computing for science and engineering, including scalability, flexibility, and cost-effectiveness. By leveraging cloud resources, researchers can quickly scale their computing resources up or down as needed, without the need for expensive infrastructure investments.

    Furthermore, cloud computing enables researchers to collaborate with colleagues around the world, sharing data and resources in real-time. This level of collaboration has led to breakthroughs in fields such as genomics, climate modeling, and artificial intelligence.

    Overall, “Cloud Computing for Science and Engineering” by Ian Foster provides a comprehensive overview of how cloud computing is transforming research in various scientific disciplines. As more researchers adopt cloud technologies, the possibilities for innovation and discovery are endless.
    #Cloud #Computing #Science #Engineering #Ian #Foster

  • Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning

    Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning


    Price: $64.99 – $38.11
    (as of Dec 14,2024 16:59:11 UTC – Details)


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    From the Publisher

    Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From InData Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From In

    From the Preface

    In this book, we walk through an example of this new transformative, more collaborative way of doing data science. You will learn how to implement an end-to-end data pipeline-we will begin with ingesting the data in a serverless way and work our way through data exploration, dashboards, relational databases, and streaming data all the way to training and making operational a machine learning model. I cover all these aspects of data-based services because data engineers will be involved in designing the services, developing the statistical and machine learning models and implementing them in large-scale production and in real time.

    Who This Book Is For

    If you use computers to work with data, this book is for you. You might go by the title of data analyst, database administrator, data engineer, data scientist, or systems programmer today. Although your role might be narrower today (perhaps you do only data analysis, or only model building, or only DevOps), you want to stretch your wings a bit-you want to learn how to create data science models as well as how to implement them at scale in production systems.

    Google Cloud Platform is designed to make you forget about infrastructure. The marquee data services-Google BigQuery, Cloud Dataflow, Cloud Pub/Sub, and Cloud ML Engine-are all serverless and autoscaling. When you submit a query to BigQuery, it is run on thousands of nodes, and you get your result back; you don’t spin up a cluster or install any software. Similarly, in Cloud Dataflow, when you submit a data pipeline, and in Cloud Machine Learning Engine, when you submit a machine learning job, you can process data at scale and train models at scale without worrying about cluster management or failure recovery. Cloud Pub/Sub is a global messaging service that autoscales to the throughput and number of subscribers and publishers without any work on your part. Even when you’re running open source software like Apache Spark that’s designed to operate on a cluster, Google Cloud Platform makes it easy. Leave your data on Google Cloud Storage, not in HDFS, and spin up a job-specific cluster to run the Spark job. After the job completes, you can safely delete the cluster. Because of this job-specific infrastructure, there’s no need to fear overprovisioning hardware or running out of capacity to run a job when you need it. Plus, data is encrypted, both at rest and in transit, and kept secure. As a data scientist, not having to manage infrastructure is incredibly liberating.

    The reason that you can afford to forget about virtual machines and clusters when running on Google Cloud Platform comes down to networking. The network bisection bandwidth within a Google Cloud Platform datacenter is 1 PBps, and so sustained reads off Cloud Storage are extremely fast. What this means is that you don’t need to shard your data as you would with traditional MapReduce jobs. Instead, Google Cloud Platform can autoscale your compute jobs by shuffling the data onto new compute nodes as needed. Hence, you’re liberated from cluster management when doing data science on Google Cloud Platform.

    These autoscaled, fully managed services make it easier to implement data science models at scale-which is why data scientists no longer need to hand off their models to data engineers. Instead, they can write a data science workload, submit it to the cloud, and have that workload executed automatically in an autoscaled manner. At the same time, data science packages are becoming simpler and simpler. So, it has become extremely easy for an engineer to slurp in data and use a canned model to get an initial (and often very good) model up and running. With well-designed packages and easy-to-consume APIs, you don’t need to know the esoteric details of data science algorithms-only what each algorithm does, and how to link algorithms together to solve realistic problems. This convergence between data science and data engineering is why you can stretch your wings beyond your current role.

    Rather than simply read this book cover-to-cover, I strongly encourage you to follow along with me by also trying out the code. The full source code for the end-to-end pipeline I build in this book is on GitHub. Create a Google Cloud Platform project and after reading each chapter, try to repeat what I did by referring to the code and to the Readme file in each folder of the GitHub repository.

    Publisher ‏ : ‎ O’Reilly Media; 1st edition (February 6, 2018)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 402 pages
    ISBN-10 ‏ : ‎ 1491974567
    ISBN-13 ‏ : ‎ 978-1491974568
    Item Weight ‏ : ‎ 1.44 pounds
    Dimensions ‏ : ‎ 7.25 x 1 x 9.25 inches

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    Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines

    In today’s fast-paced digital world, the ability to quickly and efficiently analyze large amounts of data has become essential for businesses to stay competitive. Data science is a crucial tool in this process, allowing companies to extract valuable insights from their data and make informed decisions.

    Google Cloud Platform (GCP) offers a powerful set of tools and services for data science and analytics, making it easier than ever to build end-to-end real-time data pipelines. From data ingestion to machine learning, GCP provides a comprehensive suite of services to help businesses harness the power of their data.

    In this post, we will walk you through the process of implementing an end-to-end real-time data pipeline on the Google Cloud Platform. We will cover the following steps:

    1. Data Ingestion: We will start by ingesting data from various sources into GCP using tools like Cloud Storage, Cloud Pub/Sub, and Dataflow. These tools make it easy to collect, store, and process data in real-time.

    2. Data Processing: Once the data is ingested, we will use tools like Cloud Dataflow and BigQuery to process and analyze the data. These tools allow us to run complex data transformations and queries at scale, making it easy to extract valuable insights from our data.

    3. Machine Learning: Finally, we will use tools like Cloud AI Platform and TensorFlow to build and deploy machine learning models on GCP. These tools make it easy to train, test, and deploy models at scale, allowing us to make accurate predictions and automate decision-making processes.

    By following these steps, you can build a robust end-to-end real-time data pipeline on the Google Cloud Platform, enabling your business to make data-driven decisions and stay ahead of the competition. So, what are you waiting for? Start harnessing the power of data science on GCP today!
    #Data #Science #Google #Cloud #Platform #Implementing #EndtoEnd #RealTime #Data #Pipelines #Ingest #Machine #Learning

  • Harnessing the Cloud: Insights into the Technology Shaping Our Future (Science and Technology Book 66)

    Harnessing the Cloud: Insights into the Technology Shaping Our Future (Science and Technology Book 66)


    Price: $1.49
    (as of Dec 14,2024 15:49:50 UTC – Details)


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    ASIN ‏ : ‎ B0DFR27RZT
    Publication date ‏ : ‎ August 29, 2024
    Language ‏ : ‎ English
    File size ‏ : ‎ 2834 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 86 pages

    Fix today. Protect forever. Secure your devices with the #1 malware removal and protection software
    In this book, we delve into the world of cloud computing and explore how this revolutionary technology is reshaping the way we work, communicate, and store information. From its humble beginnings to its current dominance in the tech industry, we uncover the history and evolution of the cloud.

    We also take a look at the key players in the cloud computing space, from industry giants like Amazon Web Services and Microsoft Azure to up-and-coming startups that are pushing the boundaries of what is possible with the cloud. Through interviews with experts and thought leaders, we gain valuable insights into the latest trends and developments in cloud technology.

    Whether you’re a seasoned IT professional looking to stay ahead of the curve or a curious newcomer eager to learn more about this game-changing technology, Harnessing the Cloud is your ultimate guide to understanding the technology shaping our future. Join us on this journey as we explore the vast potential of the cloud and its impact on our lives and industries.
    #Harnessing #Cloud #Insights #Technology #Shaping #Future #Science #Technology #Book

  • Cloud Computing, Big Data & Emerging Topics: 9th Conference, JCC-BD&ET, La Plata, Argentina, June 22-25, 2021, Proceedings (Communications in Computer and Information Science)

    Cloud Computing, Big Data & Emerging Topics: 9th Conference, JCC-BD&ET, La Plata, Argentina, June 22-25, 2021, Proceedings (Communications in Computer and Information Science)


    Price: $98.78
    (as of Dec 14,2024 13:59:24 UTC – Details)


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    Publisher ‏ : ‎ Springer; 1st ed. 2021 edition (August 17, 2021)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 216 pages
    ISBN-10 ‏ : ‎ 3030848248
    ISBN-13 ‏ : ‎ 978-3030848248
    Item Weight ‏ : ‎ 11 ounces
    Dimensions ‏ : ‎ 6.1 x 0.49 x 9.25 inches

    Fix today. Protect forever. Secure your devices with the #1 malware removal and protection software
    Join us at the 9th Conference on Cloud Computing, Big Data & Emerging Topics (JCC-BD&ET) in La Plata, Argentina from June 22-25, 2021!

    This conference will bring together experts and researchers in the field to discuss the latest trends, challenges, and solutions in cloud computing, big data, and emerging topics.

    The proceedings of the conference will be published in the Communications in Computer and Information Science series, providing a valuable resource for those interested in cutting-edge research in these areas.

    Don’t miss this opportunity to connect with professionals from around the world and stay ahead of the curve in cloud computing, big data, and emerging technologies. Register now and secure your spot at JCC-BD&ET!

    For more information and to register, visit the conference website: [link]

    We look forward to seeing you in La Plata!
    #Cloud #Computing #Big #Data #Emerging #Topics #9th #Conference #JCCBDET #Plata #Argentina #June #Proceedings #Communications #Computer #Information #Science

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