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Advanced Serverless Data Management Harnessing Google Cloud Functions For Cutting Edge Processing

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Advanced Serverless Data Management Harnessing Google Cloud Functions For Cutting Edge Processing

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Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-03

Advanced Serverless Data Management Harnessing Google Cloud Functions For Cutting Edge Processing written by Adam Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.

Embark on a journey to master serverless data management with "Advanced Serverless Data Management: Harnessing Google Cloud Functions for Cutting-Edge Processing." This comprehensive guide is meticulously crafted for developers and IT professionals looking to leverage the power of serverless computing to build scalable, efficient, and cost-effective applications. Whether you're a novice eager to explore serverless technologies or an experienced developer aiming to deepen your expertise in Google Cloud Functions, this book offers a wealth of knowledge on essential topics. From setting up your environment and developing your first function to advanced integration and security practices, each chapter unfolds in a logical, structured manner, providing practical insights and examples. Learn how to process data in real-time, seamlessly integrate with a multitude of Google Cloud Platform services, optimize performance, and troubleshoot with confidence. "Advanced Serverless Data Management" is not just a book; it's your companion in navigating the evolving landscape of serverless computing, unlocking the full potential of Google Cloud Functions to innovate and elevate your projects and applications.

Advanced Serverless Data Management Harnessing Google Cloud Functions For Cutting Edge Processing

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Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-03

Mastering Nlp From Foundations To Llms

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Author : Lior Gazit
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-04-26

Mastering Nlp From Foundations To Llms written by Lior Gazit and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Computers categories.

Enhance your NLP proficiency with modern frameworks like LangChain, explore mathematical foundations and code samples, and gain expert insights into current and future trends Key Features Learn how to build Python-driven solutions with a focus on NLP, LLMs, RAGs, and GPT Master embedding techniques and machine learning principles for real-world applications Understand the mathematical foundations of NLP and deep learning designs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDo you want to master Natural Language Processing (NLP) but don’t know where to begin? This book will give you the right head start. Written by leaders in machine learning and NLP, Mastering NLP from Foundations to LLMs provides an in-depth introduction to techniques. Starting with the mathematical foundations of machine learning (ML), you’ll gradually progress to advanced NLP applications such as large language models (LLMs) and AI applications. You’ll get to grips with linear algebra, optimization, probability, and statistics, which are essential for understanding and implementing machine learning and NLP algorithms. You’ll also explore general machine learning techniques and find out how they relate to NLP. Next, you’ll learn how to preprocess text data, explore methods for cleaning and preparing text for analysis, and understand how to do text classification. You’ll get all of this and more along with complete Python code samples. By the end of the book, the advanced topics of LLMs’ theory, design, and applications will be discussed along with the future trends in NLP, which will feature expert opinions. You’ll also get to strengthen your practical skills by working on sample real-world NLP business problems and solutions.What you will learn Master the mathematical foundations of machine learning and NLP Implement advanced techniques for preprocessing text data and analysis Design ML-NLP systems in Python Model and classify text using traditional machine learning and deep learning methods Understand the theory and design of LLMs and their implementation for various applications in AI Explore NLP insights, trends, and expert opinions on its future direction and potential Who this book is for This book is for deep learning and machine learning researchers, NLP practitioners, ML/NLP educators, and STEM students. Professionals working with text data as part of their projects will also find plenty of useful information in this book. Beginner-level familiarity with machine learning and a basic working knowledge of Python will help you get the best out of this book.

Mastering The Art Of Cloud Computing With Google Cloud Platform Unraveling The Secrets Of Experts

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Author : Steve Jones
language : en
Publisher: Walzone Press
Release Date : 2025-02-19

Mastering The Art Of Cloud Computing With Google Cloud Platform Unraveling The Secrets Of Experts written by Steve Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-19 with Computers categories.

Unlock the true potential of cloud computing with "Mastering the Art of Cloud Computing with Google Cloud Platform: Unraveling the Secrets of Experts." This comprehensive guide is designed for experienced programmers and IT professionals seeking to deepen their understanding of Google Cloud Platform's vast capabilities. Delving beyond introductory concepts, the book equips readers with advanced skills and insider strategies essential for optimizing cloud architecture, ensuring your projects are both innovative and efficient. Each meticulously crafted chapter offers insights into critical aspects of GCP, from advanced networking and security frameworks to cutting-edge techniques in compute optimizations and Kubernetes orchestration. Learn how to harness the power of data analytics and machine learning, all while mastering serverless architectures for seamless application deployment. By integrating theoretical knowledge with real-world scenarios, this book serves as both a reference and a roadmap for those aiming to leverage cloud technology to its fullest. "Mastering the Art of Cloud Computing with Google Cloud Platform" also addresses cost management and optimization techniques, ensuring you balance performance with budget considerations. Whether you're scaling infrastructure, securing data, or deploying machine learning models, this book provides the expertise needed to navigate GCP's complex ecosystem confidently. Elevate your cloud computing skills to an expert level and become a pivotal asset in today's digital-first, cloud-native world.

Mastering Serverless Computing

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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date : 2023-09-26

Mastering Serverless Computing written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-26 with Computers categories.

Unleash the Power of Serverless Architecture for Efficient and Scalable Applications Are you ready to dive into the future of application development with serverless computing? "Mastering Serverless Computing" is your comprehensive guide to understanding and harnessing the potential of serverless architecture. Whether you're a developer aiming to create scalable applications or an IT professional seeking insights into serverless capabilities, this book equips you with the knowledge and tools to build efficient and high-performance solutions. Key Features: 1. Introduction to Serverless Computing: Immerse yourself in the core principles of serverless architecture, understanding its benefits, components, and use cases. Build a solid foundation that empowers you to embrace the serverless paradigm. 2. Serverless Services and Providers: Master the art of working with various serverless providers and services. Learn about AWS Lambda, Azure Functions, Google Cloud Functions, and more, and explore their features and integrations. 3. Developing Serverless Applications: Uncover strategies for developing applications using serverless architecture. Explore techniques for creating functions, managing dependencies, and deploying serverless code seamlessly. 4. Event-Driven Architecture: Discover the power of event-driven architecture in serverless computing. Learn how to trigger functions in response to events, integrate with event sources, and build real-time applications. 5. Serverless Data Management: Delve into data management in a serverless environment. Explore database services, caching mechanisms, and data storage solutions tailored for serverless applications. 6. Serverless Security and Authentication: Explore security considerations in serverless computing. Learn how to implement authentication, access controls, and encryption to protect your serverless applications and data. 7. Scalability and Cost Optimization: Master strategies for optimizing scalability and minimizing costs in serverless applications. Understand how serverless architecture automatically scales and how to leverage pay-as-you-go pricing models. 8. Serverless Orchestration and Workflows: Uncover techniques for orchestrating complex workflows in serverless applications. Learn about state management, chaining functions, and handling long-running processes. 9. Serverless DevOps and Continuous Deployment: Explore DevOps practices tailored for serverless development. Learn how to automate deployment, testing, and monitoring processes to ensure a seamless development lifecycle. 10. Real-World Serverless Applications: Gain insights into real-world serverless use cases across industries. From microservices to real-time data processing, explore how organizations are leveraging serverless computing for innovation. Who This Book Is For: "Mastering Serverless Computing" is an indispensable resource for developers, architects, and IT professionals who want to excel in serverless application development. Whether you're a newcomer to serverless or seeking to enhance your existing skills, this book will guide you through the intricacies and empower you to harness the potential of serverless architecture.

Hands On Serverless Computing With Google Cloud

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Author : Richard Rose
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-02-14

Hands On Serverless Computing With Google Cloud written by Richard Rose and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-14 with Computers categories.

Effectively deploy fully managed workloads using Google Cloud's serverless services Key FeaturesUse real-world use cases to understand the core functionalities of Functions as a ServiceExplore the potential of Cloud Run, Knative, Cloud Build, Google Kubernetes Engine, and Cloud StorageGet to grips with architectural decisions, seamless deployments, containerization, and serverless solutionsBook Description Google Cloud's serverless platform allows organizations to scale fully managed solutions without worrying about the underlying infrastructure. With this book, you will learn how to design, develop, and deploy full stack serverless apps on Google Cloud. The book starts with a quick overview of the Google Cloud console, its features, user interface (UI), and capabilities. After getting to grips with the Google Cloud interface and its features, you will explore the core aspects of serverless products such as Cloud Run, Cloud Functions and App Engine. You will also learn essential features such as version control, containerization, and identity and access management with the help of real-world use cases. Later, you will understand how to incorporate continuous integration and continuous deployment (CI/CD) techniques for serverless applications. Toward the concluding chapters, you will get to grips with how key technologies such as Knative enable Cloud Run to be hosted on multiple platforms including Kubernetes and VMware. By the end of this book, you will have become proficient in confidently developing, managing, and deploying containerized applications on Google Cloud. What you will learnExplore the various options for deploying serverless workloads on Google CloudDetermine the appropriate serverless product for your application use caseIntegrate multiple lightweight functions to build scalable and resilient servicesIncrease productivity through build process automationUnderstand how to secure serverless workloads using service accountsBuild a scalable architecture with Google Cloud Functions and Cloud RunWho this book is for If you are a cloud administrator, architect, or developer who wants to build scalable systems and deploy serverless workloads on Google Cloud, then this book is for you. To get the most out of this book, a basic understanding of the serverless ecosystem and cloud computing will be beneficial.

Hands On Serverless Computing

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Author : Kuldeep Chowhan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-07-23

Hands On Serverless Computing written by Kuldeep Chowhan and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-23 with Computers categories.

Deploy functions efficiently using different cloud-based serverless offerings Key Features Understand the concept of Function-as-a-Service Implement Serverless solutions using AWS Lambda, Azure Functions and Google Cloud Functions Practical approach towards choosing the best tool for your serverless environment Book Description Serverless applications and architectures are gaining momentum and are increasingly being used by companies of all sizes. Serverless software takes care of many problems that developers face when running systems and servers, such as fault tolerance, centralized logging, horizontal scalability, and deployments. You will learn how to harness serverless technology to rapidly reduce production time and minimize your costs, while still having the freedom to customize your code, without hindering functionality. Upon finishing the book, you will have the knowledge and resources to build your own serverless application hosted in AWS, Microsoft Azure, or Google Cloud Platform, and will have experienced the benefits of event-driven technology for yourself. This hands-on guide dives into the basis of serverless architectures and how to build them using Node.js as a programming language, Visual Studio Code for code editing, and Postman for quickly and securely developing applications without the hassle of configuring and maintaining infrastructure on three public cloud platforms. What you will learn Understand the benefts of serverless computing and know when to use it Develop serverless applications on AWS, Azure, and Google Cloud Get to grips with Function as a Service (FaaS) Apply triggers to serverless functions Build event-driven apps using serverless frameworks Use the Node.js programming language to build serverless apps Use code editors, such as Visual Studio Code, as development environments Master the best development practices for creating scalable and practical solutions Who this book is for This book is targeted towards developers, system administrators or any stakeholder working in the Serverless environment and want to understand how functions work. Basic idea of serverless architecture can be an added advantage

Google Cloud Platform In Action

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Author : John J. (JJ) Geewax
language : en
Publisher: Simon and Schuster
Release Date : 2018-08-15

Google Cloud Platform In Action written by John J. (JJ) Geewax and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-15 with Computers categories.

Summary Google Cloud Platform in Action teaches you to build and launch applications that scale, leveraging the many services on GCP to move faster than ever. You'll learn how to choose exactly the services that best suit your needs, and you'll be able to build applications that run on Google Cloud Platform and start more quickly, suffer fewer disasters, and require less maintenance. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Thousands of developers worldwide trust Google Cloud Platform, and for good reason. With GCP, you can host your applications on the same infrastructure that powers Search, Maps, and the other Google tools you use daily. You get rock-solid reliability, an incredible array of prebuilt services, and a cost-effective, pay-only-for-what-you-use model. This book gets you started. About the Book Google Cloud Platform in Action teaches you how to deploy scalable cloud applications on GCP. Author and Google software engineer JJ Geewax is your guide as you try everything from hosting a simple WordPress web app to commanding cloud-based AI services for computer vision and natural language processing. Along the way, you'll discover how to maximize cloud-based data storage, roll out serverless applications with Cloud Functions, and manage containers with Kubernetes. Broad, deep, and complete, this authoritative book has everything you need. What's inside The many varieties of cloud storage and computing How to make cost-effective choices Hands-on code examples Cloud-based machine learning About the Reader Written for intermediate developers. No prior cloud or GCP experience required. About the Author JJ Geewax is a software engineer at Google, focusing on Google Cloud Platform and API design. Table of Contents PART 1 - GETTING STARTED What is "cloud"? Trying it out: deploying WordPress on Google Cloud The cloud data center PART 2 - STORAGE Cloud SQL: managed relational storage Cloud Datastore: document storage Cloud Spanner: large-scale SQL Cloud Bigtable: large-scale structured data Cloud Storage: object storage PART 3 - COMPUTING Compute Engine: virtual machines Kubernetes Engine: managed Kubernetes clusters App Engine: fully managed applications Cloud Functions: serverless applications Cloud DNS: managed DNS hosting PART 4 - MACHINE LEARNING Cloud Vision: image recognition Cloud Natural Language: text analysis Cloud Speech: audio-to-text conversion Cloud Translation: multilanguage machine translation Cloud Machine Learning Engine: managed machine learning PART 5 - DATA PROCESSING AND ANALYTICS BigQuery: highly scalable data warehouse Cloud Dataflow: large-scale data processing Cloud Pub/Sub: managed event publishing

Google Cloud Certified Professional Cloud Developer Exam Guide

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Author : Sebastian Moreno
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-09-13

Google Cloud Certified Professional Cloud Developer Exam Guide written by Sebastian Moreno and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-13 with Computers categories.

Discover how Google Cloud services can help you to reduce operational tasks and focus on delivering business value with your applications Key FeaturesDesign, develop, and deploy end-to-end cloud-native applications using Google Cloud servicesPrepare for the GCP developer exam with the help of a fictitious business case and a Q&A sectionGet hands-on with implementing code examples of different GCP services in your applicationsBook Description Google Cloud Platform is one of the three major cloud providers in the industry, exhibiting great leadership in application modernization and data management. This book provides a comprehensive introduction for those who are new to cloud development and shows you how to use the tools to create cloud-native applications by integrating the technologies used by Google. The book starts by taking you through the basic programming concepts and security fundamentals necessary for developing in Google Cloud. You'll then discover best practices for developing and deploying applications in the cloud using different components offered by Google Cloud Platform such as Cloud Functions, Google App Engine, Cloud Run, and other GCP technologies. As you advance, you'll learn the basics of cloud storage and choosing the best options for storing different kinds of data as well as understand what site reliability engineers do. In the last part, you'll work on a sample case study of Hip Local, a community application designed to facilitate communication between people nearby, created by the Google Cloud team. By the end of this guide, you'll have learned how to design, develop, and deploy an end-to-end application on the Google Cloud Platform. What you will learnGet to grips with the fundamentals of Google Cloud Platform developmentDiscover security best practices for applications in the cloudFind ways to create and modernize legacy applicationsUnderstand how to manage data and databases in Google CloudExplore best practices for site reliability engineering, monitoring, logging, and debuggingBecome well-versed with the practical implementation of GCP with the help of a case studyWho this book is for This book is for cloud engineers or developers working or starting to work on Google Cloud Platform and looking to take advantage of cloud-native applications. You'll also find this book useful if you are preparing for the GCP developer exam.

Google Cloud Platform For Data Engineering

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Author : Alasdair Gilchrist
language : en
Publisher:
Release Date : 2019-10-23

Google Cloud Platform For Data Engineering written by Alasdair Gilchrist and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-23 with categories.

Google Cloud Platform for Data Engineering is designed to take the beginner through a journey to become a competent and certified GCP data engineer. The book, therefore, is split into three parts; the first part covers fundamental concepts of data engineering and data analysis from a platform and technology-neutral perspective. Reading part 1 will bring a beginner up to speed with the generic concepts, terms and technologies we use in data engineering. The second part, which is a high-level but comprehensive introduction to all the concepts, components, tools and services available to us within the Google Cloud Platform. Completing this section will provide the beginner to GCP and data engineering with a solid foundation on the architecture and capabilities of the GCP. Part 3, however, is where we delve into the moderate to advanced techniques that data engineers need to know and be able to carry out. By this time the raw beginner you started the journey at the beginning of part 1 will be a knowledgable albeit inexperienced data engineer. However, by the conclusion of part 3, they will have gained the advanced knowledge of data engineering techniques and practices on the GCP to pass not only the certification exam but also most interviews and practical tests with confidence. In short part 3, will provide the prospective data engineer with detailed knowledge on setting up and configuring DataProc - GCPs version of the Spark/Hadoop ecosystem for big data. They will also learn how to build and test streaming and batch data pipelines using pub/sub/ dataFlow and BigQuery. Furthermore, they will learn how to integrate all the ML and AI Platform components and APIs. They will be accomplished in connecting data analysis and visualisation tools such as Datalab, DataStudio and AI notebooks amongst others. They will also by now know how to build and train a TensorFlow DNN using APIs and Keras and optimise it to run large public data sets. Also, they will know how to provision and use Kubeflow and Kube Pipelines within Google Kubernetes engines to run container workloads as well as how to take advantage of serverless technologies such as Cloud Run and Cloud Functions to build transparent and seamless data processing platforms. The best part of the book though is its compartmental design which means that anyone from a beginner to an intermediate can join the book at whatever point they feel comfortable.

Advanced Serverless Data Management Harnessing Google Cloud Functions For Cutting Edge Processing

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