Data Analytics With Google Cloud Platform

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Data Analytics with Google Cloud Platform

Author : Murari Ramuka
Publisher : BPB Publications
ISBN 13 : 9389423635
Total Pages : 287 pages
Book Rating : 4.3/5 (894 download)

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Book Synopsis Data Analytics with Google Cloud Platform by : Murari Ramuka

Download or read book Data Analytics with Google Cloud Platform written by Murari Ramuka and published by BPB Publications. This book was released on 2019-12-16 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Step-by-step guide to different data movement and processing techniques, using Google Cloud Platform Services DESCRIPTION Modern businesses are awash with data, making data-driven decision-making tasks increasingly complex. As a result, relevant technical expertise and analytical skills are required to do such tasks. This book aims to equip you with enough knowledge of Cloud Computing in conjunction with Google Cloud Data platform to succeed in the role of a Cloud data expert. The current market is trending towards the latest cloud technologies, which is the need of the hour. Google being the pioneer, is dominating this space with the right set of cloud services being offered as part of GCP (Google Cloud Platform). At this juncture, this book will be very vital and will cover all the services that are being offered by GCP, putting emphasis on Data services. This book starts with sophisticated knowledge on Cloud Computing. It also explains different types of data services/technology and machine learning algorithm/Pre-Trained API through real-business problems, which are built on the Google Cloud Platform (GCP). With some of the latest business examples and hands-on guide, this book will enable the developers entering the data analytics fields to implement an end-to-end data pipeline, using GCP Data services. Through the course of the book, you will come across multiple industry-wise use cases, like Building Datawarehouse using Big Query, a sample real-time data analytics solution on machine learning and Artificial Intelligence that helped with the business decision, by employing a variety of data science approaches on Google Cloud environment. Whether yourÊbusinessÊis at the early stage of cloud implementation in its journey or well on its way to digital transformation,ÊGoogle Cloud'sÊsolutions and technologies will always help chart a path to success. This book can be used to develop the GCP concepts in an easy way. It contains many examples showcasing the implementation of a GCP service. It enables the learning of the basic and advance concepts of Google Cloud Data Platform. This book is divided into 7 chapters and provides a detailed description of the core concepts of each of the Data services offered by Google Cloud. KEY FEATURES Learn the basic concept of Cloud Computing along with different Cloud service provides with their supported Models (IaaS/PaaS/SaaS) Learn the basics of Compute Engine, App Engine, Container Engine, Project and Billing setup in the Google Cloud Platform Learn how and when to use Cloud DataFlow, Cloud DataProc and Cloud DataPrepÊ Build real-time data pipeline to support real-time analytics using Pub/Sub messaging service Setting up a fully managed GCP Big Data Cluster using Cloud DataProc for runningÊApache SparkÊandÊApache HadoopÊclusters in a simpler, more cost-efficient manner Learn how to use Cloud Data Studio for visualizing the data on top of Big Query Implement and understand real-world business scenarios for Machine Learning, Data Pipeline Engineering WHAT WILL YOU LEARN By the end of the book, you will have come across different data services and platforms offered by Google Cloud, and how those services/features can be enabled to serve business needs. You will also see a few case studies to put your knowledge to practice and solve business problems such as building a real-time streaming pipeline engine, Scalable Data Warehouse on Cloud, fully managed Hadoop cluster on Cloud and enabling TensorFlow/Machine Learning APIÕs to support real-life business problems. Remember to practice additional examples to master these techniques. WHO IS THIS BOOK FOR This book is for professionals as well as graduates who want to build a career in Google Cloud data analytics technologies. While no prior knowledge of Cloud Computing or related technologies is assumed, it will be helpful to have some data background and experience. One stop shop for those who wish to get an initial to advance understanding of the GCP data platform. The target audience will be data engineers/professionals who are new, as well as those who are acquainted with the tools and techniques related to cloud and data space.ÊÊ _Ê Ê Ê Individuals who have basic data understanding (i.e. Data and cloud) and have done some work in the field ofÊ data analytics, can refer/use this book to master their knowledge/understanding. _Ê Ê Ê The highlight of this book is that it will start with theÊ basic cloud computing fundamentals and will move on to cover the advance concepts on GCP cloud data analytics and hence can be referred across multiple different levels of audiences.Ê Table of Contents 1. GCP Overview and Architecture 2. Data Storage in GCPÊ 3. Data Processing in GCP with Pub/Sub and DataflowÊ 4. Data Processing in GCP with DataPrep and Dataflow 5. Big Query and Data Studio 6. Machine Learning with GCP 7. Sample Use cases and Examples

Data Analytics with Google Cloud Platform

Author : Murari Ramuka
Publisher : BPB Publications
ISBN 13 : 9389423635
Total Pages : 287 pages
Book Rating : 4.3/5 (894 download)

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Book Synopsis Data Analytics with Google Cloud Platform by : Murari Ramuka

Cloud Analytics with Google Cloud Platform

Author : Sanket Thodge
Publisher : Packt Publishing Ltd
ISBN 13 : 1788838599
Total Pages : 273 pages
Book Rating : 4.7/5 (888 download)

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Book Synopsis Cloud Analytics with Google Cloud Platform by : Sanket Thodge

Download or read book Cloud Analytics with Google Cloud Platform written by Sanket Thodge and published by Packt Publishing Ltd. This book was released on 2018-04-10 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combine the power of analytics and cloud computing for faster and efficient insights Key Features Master the concept of analytics on the cloud: and how organizations are using it Learn the design considerations and while applying a cloud analytics solution Design an end-to-end analytics pipeline on the cloud Book Description With the ongoing data explosion, more and more organizations all over the world are slowly migrating their infrastructure to the cloud. These cloud platforms also provide their distinct analytics services to help you get faster insights from your data. This book will give you an introduction to the concept of analytics on the cloud, and the different cloud services popularly used for processing and analyzing data. If you’re planning to adopt the cloud analytics model for your business, this book will help you understand the design and business considerations to be kept in mind, and choose the best tools and alternatives for analytics, based on your requirements. The chapters in this book will take you through the 70+ services available in Google Cloud Platform and their implementation for practical purposes. From ingestion to processing your data, this book contains best practices on building an end-to-end analytics pipeline on the cloud by leveraging popular concepts such as machine learning and deep learning. By the end of this book, you will have a better understanding of cloud analytics as a concept as well as a practical know-how of its implementation What you will learn Explore the basics of cloud analytics and the major cloud solutions Learn how organizations are using cloud analytics to improve the ROI Explore the design considerations while adopting cloud services Work with the ingestion and storage tools of GCP such as Cloud Pub/Sub Process your data with tools such as Cloud Dataproc, BigQuery, etc Over 70 GCP tools to build an analytics engine for cloud analytics Implement machine learning and other AI techniques on GCP Who this book is for This book is targeted at CIOs, CTOs, and even analytics professionals looking for various alternatives to implement their analytics pipeline on the cloud. Data professionals looking to get started with cloud-based analytics will also find this book useful. Some basic exposure to cloud platforms such as GCP will be helpful, but not mandatory.

Data Science on the Google Cloud Platform

Author : Valliappa Lakshmanan
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 109811891X
Total Pages : 429 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Data Science on the Google Cloud Platform by : Valliappa Lakshmanan

Download or read book Data Science on the Google Cloud Platform written by Valliappa Lakshmanan and published by "O'Reilly Media, Inc.". This book was released on 2022-03-29 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP. Throughout this updated second edition, you'll work through a sample business decision by employing a variety of data science approaches. Follow along by building a data pipeline in your own project on GCP, and discover how to solve data science problems in a transformative and more collaborative way. You'll learn how to: Employ best practices in building highly scalable data and ML pipelines on Google Cloud Automate and schedule data ingest using Cloud Run Create and populate a dashboard in Data Studio Build a real-time analytics pipeline using Pub/Sub, Dataflow, and BigQuery Conduct interactive data exploration with BigQuery Create a Bayesian model with Spark on Cloud Dataproc Forecast time series and do anomaly detection with BigQuery ML Aggregate within time windows with Dataflow Train explainable machine learning models with Vertex AI Operationalize ML with Vertex AI Pipelines

New Approaches to Data Analytics and Internet of Things Through Digital Twin

Author : Karthikeyan, P.
Publisher : IGI Global
ISBN 13 : 1668457245
Total Pages : 326 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis New Approaches to Data Analytics and Internet of Things Through Digital Twin by : Karthikeyan, P.

Download or read book New Approaches to Data Analytics and Internet of Things Through Digital Twin written by Karthikeyan, P. and published by IGI Global. This book was released on 2022-09-30 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Even though many data analytics tools have been developed in the past years, their usage in the field of cyber twin warrants new approaches that consider various aspects including unified data representation, zero-day attack detection, data sharing across threat detection systems, real-time analysis, sampling, dimensionality reduction, resource-constrained data processing, and time series analysis for anomaly detection. Further study is required to fully understand the opportunities, benefits, and difficulties of data analytics and the internet of things in today’s modern world. New Approaches to Data Analytics and Internet of Things Through Digital Twin considers how data analytics and the internet of things can be used successfully within the field of digital twin as well as the potential future directions of these technologies. Covering key topics such as edge networks, deep learning, intelligent data analytics, and knowledge discovery, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

High-Performance Computing and Big Data Analysis

Author : Lucio Grandinetti
Publisher : Springer Nature
ISBN 13 : 3030334953
Total Pages : 520 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis High-Performance Computing and Big Data Analysis by : Lucio Grandinetti

Download or read book High-Performance Computing and Big Data Analysis written by Lucio Grandinetti and published by Springer Nature. This book was released on 2019-10-19 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised and selected papers from the Second International Congress on High-Performance Computing and Big Data Analysis, TopHPC 2019, held in Tehran, Iran, in April 2019. The 37 full papers and 2 short papers presented in this volume were carefully reviewed and selected from a total of 103 submissions. The papers in the volume are organized acording to the following topical headings: deep learning; big data analytics; Internet of Things.- data mining, neural network and genetic algorithms; performance issuesand quantum computing.

Data Science: Neural Networks, Deep Learning, LLMs and Power BI

Author : Jagdish Krishanlal Arora
Publisher : Jagdish Krishanlal Arora
ISBN 13 :
Total Pages : 173 pages
Book Rating : 4./5 ( download)

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Book Synopsis Data Science: Neural Networks, Deep Learning, LLMs and Power BI by : Jagdish Krishanlal Arora

Download or read book Data Science: Neural Networks, Deep Learning, LLMs and Power BI written by Jagdish Krishanlal Arora and published by Jagdish Krishanlal Arora. This book was released on 2024-08-29 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: I wrote this book as I got an interview offer for Data Analyst. There they asked me a lot of questions and there was an exam. This helped me a lot to write the book based on the interview questions faced by me and the knowledge gained by working on AI projects. I then added all my other knowledge working as a Data Analyst on my other projects and wrote the book. Technical books need a lot of attention, as they need deep checks, but I tried to do my best. Not everything can be included in detail, it is impossible. I have tried to include everything related to Data Science that is presently going on in the industry and the world.

Data Analytics for Internet of Things Infrastructure

Author : Rohit Sharma
Publisher : Springer Nature
ISBN 13 : 3031338081
Total Pages : 330 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Data Analytics for Internet of Things Infrastructure by : Rohit Sharma

Download or read book Data Analytics for Internet of Things Infrastructure written by Rohit Sharma and published by Springer Nature. This book was released on 2023-09-19 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides techniques for the deployment of semantic technologies in data analysis along with the latest applications across the field such as Internet of Things (IoT). The authors focus on the use of the IoT and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. They discuss how the generation of big data by IoT has ruptured the existing data processing capacity of IoT and recommends the adoption of data analytics to strengthen solutions. The book addresses the challenges in designing the web based IoT system, provides a comparative analysis of different advanced approaches in industries, and contains an analysis of databases to provide expert systems. The book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of IoT and big data analytics.

Google Certification Guide -Google Professional Cloud Architect

Author : Cybellium Ltd
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 201 pages
Book Rating : 4.8/5 (713 download)

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Book Synopsis Google Certification Guide -Google Professional Cloud Architect by : Cybellium Ltd

Download or read book Google Certification Guide -Google Professional Cloud Architect written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Google Certification Guide - Google Professional Cloud Architect Architect Your Success in the Google Cloud Elevate your cloud architecture skills with this essential guide to becoming a Google Professional Cloud Architect. This comprehensive book is your ally in mastering the complex landscape of Google Cloud architecture, providing you with the knowledge and confidence needed to excel in the certification exam and in your professional career. Inside, You'll Find: Advanced Architectural Insights: Delve into the intricacies of designing and managing robust, secure, and efficient solutions on Google Cloud. Real-World Scenarios: Understand the practical applications of Google Cloud services through detailed case studies and hands-on examples, demonstrating architecture in action. Exam-Focused Approach: Get a thorough breakdown of the exam format, key topics, and strategies, along with practice questions designed to mirror the real exam experience. Latest Cloud Innovations: Stay ahead of the curve with insights into the newest features and trends in Google Cloud, ensuring your knowledge remains cutting-edge. Written by a Cloud Architecture Expert Authored by an experienced cloud architect specializing in Google Cloud, this guide combines deep technical expertise with practical insights, offering a rich and comprehensive learning experience. Your Roadmap to Professional Certification Whether you are an experienced cloud architect or looking to take your skills to the next level, this book is your comprehensive companion, guiding you through the complexities of Google Cloud architecture and preparing you for the Professional Cloud Architect exam. Advance Your Cloud Architecture Career This guide goes beyond exam preparation; it's a deep dive into the art and science of cloud architecture in the Google Cloud environment, designed to equip you with the skills and knowledge needed to excel as a professional cloud architect. Begin Your Architectural Mastery Take the first step towards becoming a certified Google Professional Cloud Architect. With this guide, you're not just preparing for an exam; you're preparing to become a leader in the transformative world of cloud architecture. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Data Engineering with Google Cloud Platform

Author : Adi Wijaya
Publisher : Packt Publishing Ltd
ISBN 13 : 1835085369
Total Pages : 476 pages
Book Rating : 4.8/5 (35 download)

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Book Synopsis Data Engineering with Google Cloud Platform by : Adi Wijaya

Download or read book Data Engineering with Google Cloud Platform written by Adi Wijaya and published by Packt Publishing Ltd. This book was released on 2024-04-30 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Become a successful data engineer by building and deploying your own data pipelines on Google Cloud, including making key architectural decisions Key Features Get up to speed with data governance on Google Cloud Learn how to use various Google Cloud products like Dataform, DLP, Dataplex, Dataproc Serverless, and Datastream Boost your confidence by getting Google Cloud data engineering certification guidance from real exam experiences Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe second edition of Data Engineering with Google Cloud builds upon the success of the first edition by offering enhanced clarity and depth to data professionals navigating the intricate landscape of data engineering. Beyond its foundational lessons, this new edition delves into the essential realm of data governance within Google Cloud, providing you with invaluable insights into managing and optimizing data resources effectively. Written by a Data Strategic Cloud Engineer at Google, this book helps you stay ahead of the curve by guiding you through the latest technological advancements in the Google Cloud ecosystem. You’ll cover essential aspects, from exploring Cloud Composer 2 to the evolution of Airflow 2.5. Additionally, you’ll explore how to work with cutting-edge tools like Dataform, DLP, Dataplex, Dataproc Serverless, and Datastream to perform data governance on datasets. By the end of this book, you'll be equipped to navigate the ever-evolving world of data engineering on Google Cloud, from foundational principles to cutting-edge practices.What you will learn Load data into BigQuery and materialize its output Focus on data pipeline orchestration using Cloud Composer Formulate Airflow jobs to orchestrate and automate a data warehouse Establish a Hadoop data lake, generate ephemeral clusters, and execute jobs on the Dataproc cluster Harness Pub/Sub for messaging and ingestion for event-driven systems Apply Dataflow to conduct ETL on streaming data Implement data governance services on Google Cloud Who this book is for Data analysts, IT practitioners, software engineers, or any data enthusiasts looking to have a successful data engineering career will find this book invaluable. Additionally, experienced data professionals who want to start using Google Cloud to build data platforms will get clear insights on how to navigate the path. Whether you're a beginner who wants to explore the fundamentals or a seasoned professional seeking to learn the latest data engineering concepts, this book is for you.

Google Cloud Professional Data Engineer

Author :
Publisher : YouGuide Ltd
ISBN 13 : 1836798032
Total Pages : 228 pages
Book Rating : 4.8/5 (367 download)

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Book Synopsis Google Cloud Professional Data Engineer by :

Download or read book Google Cloud Professional Data Engineer written by and published by YouGuide Ltd. This book was released on 2024-10-26 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com

Building Machine Learning and Deep Learning Models on Google Cloud Platform

Author : Ekaba Bisong
Publisher : Apress
ISBN 13 : 1484244702
Total Pages : 703 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Building Machine Learning and Deep Learning Models on Google Cloud Platform by : Ekaba Bisong

Download or read book Building Machine Learning and Deep Learning Models on Google Cloud Platform written by Ekaba Bisong and published by Apress. This book was released on 2019-09-27 with total page 703 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take a systematic approach to understanding the fundamentals of machine learning and deep learning from the ground up and how they are applied in practice. You will use this comprehensive guide for building and deploying learning models to address complex use cases while leveraging the computational resources of Google Cloud Platform. Author Ekaba Bisong shows you how machine learning tools and techniques are used to predict or classify events based on a set of interactions between variables known as features or attributes in a particular dataset. He teaches you how deep learning extends the machine learning algorithm of neural networks to learn complex tasks that are difficult for computers to perform, such as recognizing faces and understanding languages. And you will know how to leverage cloud computing to accelerate data science and machine learning deployments. Building Machine Learning and Deep Learning Models on Google Cloud Platform is divided into eight parts that cover the fundamentals of machine learning and deep learning, the concept of data science and cloud services, programming for data science using the Python stack, Google Cloud Platform (GCP) infrastructure and products, advanced analytics on GCP, and deploying end-to-end machine learning solution pipelines on GCP. What You’ll Learn Understand the principles and fundamentals of machine learning and deep learning, the algorithms, how to use them, when to use them, and how to interpret your resultsKnow the programming concepts relevant to machine and deep learning design and development using the Python stack Build and interpret machine and deep learning models Use Google Cloud Platform tools and services to develop and deploy large-scale machine learning and deep learning products Be aware of the different facets and design choices to consider when modeling a learning problem Productionalize machine learning models into software products Who This Book Is For Beginners to the practice of data science and applied machine learning, data scientists at all levels, machine learning engineers, Google Cloud Platform data engineers/architects, and software developers

Google Cloud Digital Leader certification guide

Author : Cybellium Ltd
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 173 pages
Book Rating : 4.8/5 (695 download)

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Book Synopsis Google Cloud Digital Leader certification guide by : Cybellium Ltd

Download or read book Google Cloud Digital Leader certification guide written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the Power of Google Cloud with the "Digital Leader Certification Guide" In a world that's increasingly digital, organizations are turning to Google Cloud to transform their businesses, and they need experts to lead the way. The Google Cloud Digital Leader certification is your ticket to becoming a recognized authority in cloud technology and strategy. "Google Cloud Digital Leader Certification Guide" is your comprehensive companion on the journey to mastering this certification, providing you with the knowledge, skills, and strategic insights to excel in the realm of Google Cloud. Your Path to Digital Leadership The Google Cloud Digital Leader certification is highly regarded in the IT and cloud computing industry. Whether you are new to cloud technology or seeking to expand your expertise, this guide will empower you to navigate the path to certification and lead digital transformation initiatives effectively. What You Will Explore Google Cloud Fundamentals: Gain a deep understanding of the core principles of Google Cloud, including cloud architecture, infrastructure, products, services, and data management. Cloud Strategy and Implementation: Learn how to develop and execute effective cloud strategies that align with organizational goals and maximize the benefits of Google Cloud. Real-World Scenarios: Immerse yourself in practical case studies and real-world examples that illustrate how organizations have successfully leveraged Google Cloud to drive innovation and growth. Exam Preparation Strategies: Master proven strategies for preparing for the Google Cloud Digital Leader certification exam, including study plans, recommended resources, and expert test-taking techniques. Career Advancement: Discover how achieving the Google Cloud Digital Leader certification can open doors to exciting career opportunities and significantly enhance your earning potential. Why "Google Cloud Digital Leader Certification Guide" Is Essential Comprehensive Coverage: This book provides comprehensive coverage of Google Cloud Digital Leader exam topics, ensuring that you are fully prepared for the certification exam. Expert Guidance: Benefit from insights and advice from experienced cloud professionals who share their knowledge and industry expertise. Career Transformation: The Google Cloud Digital Leader certification is a testament to your digital leadership skills and can propel you into high-demand roles within the cloud technology space. Stay Ahead: In a rapidly evolving digital landscape, mastering Google Cloud technology and strategy is vital for staying competitive and leading innovation initiatives. Your Journey to Digital Leadership Begins Here "Google Cloud Digital Leader Certification Guide" is your roadmap to mastering the Google Cloud Digital Leader certification and driving digital transformation in your organization. Whether you aspire to lead cloud migration projects, optimize cloud resources, or become a strategic advisor, this guide will equip you with the skills and knowledge to achieve your goals. "Google Cloud Digital Leader Certification Guide" is the ultimate resource for individuals seeking to achieve the Google Cloud Digital Leader certification and excel in the field of cloud technology and strategy. Whether you are new to Google Cloud or a seasoned professional, this book will provide you with the knowledge and strategies to excel in the certification exam and establish yourself as a digital leader in the cloud computing domain. Don't wait; begin your journey to Google Cloud Digital Leader certification success today! © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Google Cloud Developer Certification

Author :
Publisher : YouGuide Ltd
ISBN 13 : 1836798067
Total Pages : 242 pages
Book Rating : 4.8/5 (367 download)

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Book Synopsis Google Cloud Developer Certification by :

Download or read book Google Cloud Developer Certification written by and published by YouGuide Ltd. This book was released on 2024-10-26 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com

Google Cloud Platform for Developers

Author : Ted Hunter
Publisher : Packt Publishing Ltd
ISBN 13 : 1788830830
Total Pages : 496 pages
Book Rating : 4.7/5 (888 download)

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Book Synopsis Google Cloud Platform for Developers by : Ted Hunter

Download or read book Google Cloud Platform for Developers written by Ted Hunter and published by Packt Publishing Ltd. This book was released on 2018-07-30 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop, deploy, and scale your applications with Google Cloud Platform Key Features Create and deploy your applications on Google Cloud Platform Store and manage source code and debug Cloud-hosted apps with plugins and IDEs Streamline developer workflows with tools for alerting and managing deployments Book Description Google Cloud Platform (GCP) provides autoscaling compute power and distributed in-memory cache, task queues, and datastores to write, build, and deploy Cloud-hosted applications. With Google Cloud Platform for Developers, you will be able to develop and deploy scalable applications from scratch and make them globally available in almost any language. This book will guide you in designing, deploying, and managing applications running on Google Cloud. You’ll start with App Engine and move on to work with Container Engine, compute engine, and cloud functions. You’ll learn how to integrate your new applications with the various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. This book will teach you how to streamline your workflow with tools such as Source Repositories, Container Builder, and StackDriver. Along the way, you’ll see how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerting for your production systems. By the end of this book, you’ll be well-versed with all the development tools of Google Cloud Platform, and you’ll develop, deploy, and manage highly scalable and reliable applications. What you will learn Understand the various service offerings on GCP Deploy and run services on managed platforms such as App Engine and Container Engine Securely maintain application states with Cloud Storage, Datastore, and Bigtable Leverage StackDriver monitoring and debugging to minimize downtime and mitigate issues without impacting users Design and implement complex software solutions utilizing Google Cloud Integrate with best-in-class big data solutions such as Bigquery, Dataflow, and Pub/Sub Who this book is for Google Cloud Platform for Developers is for application developers. This book will enable you to fully leverage the power of Google Cloud Platform to build resilient and intelligent software solutions.

Google Cloud Platform for Data Engineering

Author : Alasdair Gilchrist
Publisher : Alasdair Gilchrist
ISBN 13 :
Total Pages : 372 pages
Book Rating : 4./5 ( download)

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Book Synopsis Google Cloud Platform for Data Engineering by : Alasdair Gilchrist

Download or read book Google Cloud Platform for Data Engineering written by Alasdair Gilchrist and published by Alasdair Gilchrist. This book was released on with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

GOOGLE CLOUD PLATFORM

Author : NARAYAN CHANGDER
Publisher : CHANGDER OUTLINE
ISBN 13 :
Total Pages : 26 pages
Book Rating : 4./5 ( download)

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Book Synopsis GOOGLE CLOUD PLATFORM by : NARAYAN CHANGDER

Download or read book GOOGLE CLOUD PLATFORM written by NARAYAN CHANGDER and published by CHANGDER OUTLINE. This book was released on 2024-05-15 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: THE GOOGLE CLOUD PLATFORM MCQ (MULTIPLE CHOICE QUESTIONS) SERVES AS A VALUABLE RESOURCE FOR INDIVIDUALS AIMING TO DEEPEN THEIR UNDERSTANDING OF VARIOUS COMPETITIVE EXAMS, CLASS TESTS, QUIZ COMPETITIONS, AND SIMILAR ASSESSMENTS. WITH ITS EXTENSIVE COLLECTION OF MCQS, THIS BOOK EMPOWERS YOU TO ASSESS YOUR GRASP OF THE SUBJECT MATTER AND YOUR PROFICIENCY LEVEL. BY ENGAGING WITH THESE MULTIPLE-CHOICE QUESTIONS, YOU CAN IMPROVE YOUR KNOWLEDGE OF THE SUBJECT, IDENTIFY AREAS FOR IMPROVEMENT, AND LAY A SOLID FOUNDATION. DIVE INTO THE GOOGLE CLOUD PLATFORM MCQ TO EXPAND YOUR GOOGLE CLOUD PLATFORM KNOWLEDGE AND EXCEL IN QUIZ COMPETITIONS, ACADEMIC STUDIES, OR PROFESSIONAL ENDEAVORS. THE ANSWERS TO THE QUESTIONS ARE PROVIDED AT THE END OF EACH PAGE, MAKING IT EASY FOR PARTICIPANTS TO VERIFY THEIR ANSWERS AND PREPARE EFFECTIVELY.