Google Bigquery

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Learning Google BigQuery

Author : Eric Brown
Publisher : Packt Publishing Ltd
ISBN 13 : 1787286290
Total Pages : 255 pages
Book Rating : 4.7/5 (872 download)

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Book Synopsis Learning Google BigQuery by : Eric Brown

Download or read book Learning Google BigQuery written by Eric Brown and published by Packt Publishing Ltd. This book was released on 2017-12-22 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get a fundamental understanding of how Google BigQuery works by analyzing and querying large datasets About This Book Get started with BigQuery API and write custom applications using it Learn how BigQuery API can be used for storing, managing, and query massive datasets with ease A practical guide with examples and use-cases to teach you everything you need to know about Google BigQuery Who This Book Is For If you are a developer, data analyst, or a data scientist looking to run complex queries over thousands of records in seconds, this book will help you. No prior experience of working with BigQuery is assumed. What You Will Learn Get a hands-on introduction to Google Cloud Platform and its services Understand the different data types supported by Google BigQuery Migrate your enterprise data to BigQuery and query it using the legacy and standard SQL techniques Use partition tables in your project and query external data sources and wild card tables Create tables and data sets dynamically using the BigQuery API Perform real-time inserting of records for analytics using Python and C# Visualize your BigQuery data by connecting it to third party tools such as Tableau and R Master the Google Cloud Pub/Sub for implementing real-time reporting and analytics of your Big Data In Detail Google BigQuery is a popular cloud data warehouse for large-scale data analytics. This book will serve as a comprehensive guide to mastering BigQuery, and how you can utilize it to quickly and efficiently get useful insights from your Big Data. You will begin with getting a quick overview of the Google Cloud Platform and the various services it supports. Then, you will be introduced to the Google BigQuery API and how it fits within in the framework of GCP. The book covers useful techniques to migrate your existing data from your enterprise to Google BigQuery, as well as readying and optimizing it for analysis. You will perform basic as well as advanced data querying using BigQuery, and connect the results to various third party tools for reporting and visualization purposes such as R and Tableau. If you're looking to implement real-time reporting of your streaming data running in your enterprise, this book will also help you. This book also provides tips, best practices and mistakes to avoid while working with Google BigQuery and services that interact with it. By the time you're done with it, you will have set a solid foundation in working with BigQuery to solve even the trickiest of data problems. Style and Approach This book follows a step-by-step approach to teach readers the concepts of Google BigQuery using SQL. To explain various data querying processes, large-scale datasets are used wherever required.

Google BigQuery: The Definitive Guide

Author : Valliappa Lakshmanan
Publisher : O'Reilly Media
ISBN 13 : 1492044431
Total Pages : 522 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Google BigQuery: The Definitive Guide by : Valliappa Lakshmanan

Download or read book Google BigQuery: The Definitive Guide written by Valliappa Lakshmanan and published by O'Reilly Media. This book was released on 2019-10-23 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, you’ll examine how to analyze data at scale to derive insights from large datasets efficiently. Valliappa Lakshmanan, tech lead for Google Cloud Platform, and Jordan Tigani, engineering director for the BigQuery team, provide best practices for modern data warehousing within an autoscaled, serverless public cloud. Whether you want to explore parts of BigQuery you’re not familiar with or prefer to focus on specific tasks, this reference is indispensable.

Learning Google Analytics

Author : Mark Edmondson
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098113039
Total Pages : 368 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Learning Google Analytics by : Mark Edmondson

Download or read book Learning Google Analytics written by Mark Edmondson and published by "O'Reilly Media, Inc.". This book was released on 2022-11-10 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why is Google Analytics 4 the most modern data model available for digital marketing analytics? Because rather than simply report what has happened, GA4's new cloud integrations enable more data activation—linking online and offline data across all your streams to provide end-to-end marketing data. This practical book prepares you for the future of digital marketing by demonstrating how GA4 supports these additional cloud integrations. Author Mark Edmondson, Google Developer Expert for Google Analytics and Google Cloud, provides a concise yet comprehensive overview of GA4 and its cloud integrations. Data, business, and marketing analysts will learn major facets of GA4's powerful new analytics model, with topics including data architecture and strategy, and data ingestion, storage, and modeling. You'll explore common data activation use cases and get guidance on how to implement them. You'll learn: How Google Cloud integrates with GA4 The potential use cases that GA4 integrations can enable Skills and resources needed to create GA4 integrations How much GA4 data capture is necessary to enable use cases The process of designing dataflows from strategy though data storage, modeling, and activation

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.

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

Building Google Cloud Platform Solutions

Author : Ted Hunter
Publisher : Packt Publishing Ltd
ISBN 13 : 1838648704
Total Pages : 763 pages
Book Rating : 4.8/5 (386 download)

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Book Synopsis Building Google Cloud Platform Solutions by : Ted Hunter

Download or read book Building Google Cloud Platform Solutions written by Ted Hunter and published by Packt Publishing Ltd. This book was released on 2019-03-26 with total page 763 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build cost-effective and robust cloud solutions with Google Cloud Platform (GCP) using these simple and practical recipes Key FeaturesExplore the various service offerings of the GCPHost a Python application on Google Compute EngineSecurely maintain application states with Cloud Storage, Datastore, and BigtableBook Description GCP is a cloud computing platform with a wide range of products and services that enable you to build and deploy cloud-hosted applications. This Learning Path will guide you in using GCP and designing, deploying, and managing applications on Google Cloud. You will get started by learning how to use App Engine to access Google's scalable hosting and build software that runs on this framework. With the help of Google Compute Engine, you’ll be able to host your workload on virtual machine instances. The later chapters will help you to explore ways to implement authentication and security, Cloud APIs, and command-line and deployment management. As you hone your skills, you’ll understand how to integrate your new applications with various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. Following this, the book will teach you how to streamline your workflow with tools, including Source Repositories, Container Builder, and Stackdriver. You'll also understand how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerts for your production systems. By the end of this Learning Path, you'll be well versed with GCP’s development tools and be able to develop, deploy, and manage highly scalable and reliable applications. This Learning Path includes content from the following Packt products: Google Cloud Platform for Developers Ted Hunter and Steven PorterGoogle Cloud Platform Cookbook by Legorie Rajan PSWhat you will learnHost an application using Google Cloud FunctionsMigrate a MySQL database to Cloud SpannerConfigure a network for a highly available application on GCPLearn simple image processing using Storage and Cloud FunctionsAutomate security checks using Policy ScannerDeploy and run services on App Engine and Container EngineMinimize downtime and mitigate issues with Stackdriver Monitoring and DebuggerIntegrate with big data solutions, including BigQuery, Dataflow, and Pub/SubWho this book is for This Learning Path is for IT professionals, engineers, and developers who want to implement Google Cloud in their organizations. Administrators and architects planning to make their organization more efficient with Google Cloud will also find this Learning Path useful. Basic understanding of GCP and its services is a must.

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 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.

Data Storytelling with Google Looker Studio

Author : Sireesha Pulipati
Publisher : Packt Publishing Ltd
ISBN 13 : 1800561954
Total Pages : 464 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis Data Storytelling with Google Looker Studio by : Sireesha Pulipati

Download or read book Data Storytelling with Google Looker Studio written by Sireesha Pulipati and published by Packt Publishing Ltd. This book was released on 2022-10-27 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apply data storytelling concepts and analytical thinking to create dashboards and reports in Looker Studio to aid data-driven decision making Key FeaturesGain a solid understanding of data visualization principles and learn to apply them effectivelyGet to grips with the concepts and features of Looker Studio to create powerful data storiesExplore the end-to-end process of building dashboards with the help of practical examplesBook Description Presenting data visually makes it easier for organizations and individuals to interpret and analyze information. Looker Studio is an easy-to-use, collaborative tool that enables you to transform your data into engaging visualizations. This allows you to build and share dashboards that help monitor key performance indicators, identify patterns, and generate insights to ultimately drive decisions and actions. Data Storytelling with Looker Studio begins by laying out the foundational design principles and guidelines that are essential to creating accurate, effective, and compelling data visualizations. Next, you'll delve into features and capabilities of Looker Studio – from basic to advanced – and explore their application with examples. The subsequent chapters walk you through building dashboards with a structured three-stage process called the 3D approach using real-world examples that'll help you understand the various design and implementation considerations. This approach involves determining the objectives and needs of the dashboard, designing its key components and layout, and developing each element of the dashboard. By the end of this book, you will have a solid understanding of the storytelling approach and be able to create data stories of your own using Looker Studio. What you will learnUnderstand what storytelling with data means, and explore its various formsDiscover the 3D approach to building dashboards – determine, design, and developTest common data visualization pitfalls and learn how to mitigate themGet up and running with Looker Studio and leverage it to explore and visualize dataExplore the advanced features of Looker Studio with examplesBecome well-versed in the step-by-step process of the 3D approach using practical examplesMeasure and monitor the usage patterns of your Looker Studio reportsWho this book is for If you are a beginner or an aspiring data analyst looking to understand the core concepts of data visualization and want to use Looker Studio for creating effective dashboards, this book is for you. No specific prior knowledge is needed to understand the concepts present in this book. Experienced data analysts and business intelligence developers will also find this book useful as a detailed guide to using Looker Studio as well as a refresher of core dashboarding concepts.

Google Cloud Certified Associate Cloud Engineer Exam Study Guide - NEW and Exclusive Edition

Author : Georgio Daccache
Publisher : Georgio Daccache
ISBN 13 :
Total Pages : 166 pages
Book Rating : 4./5 ( download)

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Book Synopsis Google Cloud Certified Associate Cloud Engineer Exam Study Guide - NEW and Exclusive Edition by : Georgio Daccache

Download or read book Google Cloud Certified Associate Cloud Engineer Exam Study Guide - NEW and Exclusive Edition written by Georgio Daccache and published by Georgio Daccache. This book was released on with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Google Cloud Certified Associate Cloud Engineer Exam Study Guide - NEW and Exclusive Edition Ace your Google Associate Cloud Engineer exam on your first attempt with the latest questions, detailed explanations, and references. Prepare for your Google Associate Cloud Engineer exam with a new and exclusive preparation book designed to test your knowledge and help you pass on your first try. Save both timeand money with this invaluable resource. If you're seeking to assess your knowledge and practice real exam questions, you've come to the right place. This new book includes the most recent questions, detailed and exclusive explanations, along with references. Our new book comprehensively covers all topics in the Google Associate Cloud Engineer exam. Designed to boost your confidence for the official exam, it allows you to test your knowledge and skills across all necessary areas. To succeed in passing Google Associate Cloud Engineer exam on your initial try, you must dedicate yourself to studying these Google Associate Cloud Engineer questions, which offer updated information on the entire exam syllabus. Length: 2 hours Exam format: 50-60 multiple choice and multiple select questions Prerequisites: None This book contains three full-length, exclusive, and new practice tests, along with detailed explanations for each question and official references. Welcome!

Journey to Become a Google Cloud Machine Learning Engineer

Author : Dr. Logan Song
Publisher : Packt Publishing Ltd
ISBN 13 : 1803239417
Total Pages : 330 pages
Book Rating : 4.8/5 (32 download)

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Book Synopsis Journey to Become a Google Cloud Machine Learning Engineer by : Dr. Logan Song

Download or read book Journey to Become a Google Cloud Machine Learning Engineer written by Dr. Logan Song and published by Packt Publishing Ltd. This book was released on 2022-09-20 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prepare for the GCP ML certification exam along with exploring cloud computing and machine learning concepts and gaining Google Cloud ML skills Key FeaturesA comprehensive yet easy-to-follow Google Cloud machine learning study guideExplore full-spectrum and step-by-step practice examples to develop hands-on skillsRead through and learn from in-depth discussions of Google ML certification exam questionsBook Description This book aims to provide a study guide to learn and master machine learning in Google Cloud: to build a broad and strong knowledge base, train hands-on skills, and get certified as a Google Cloud Machine Learning Engineer. The book is for someone who has the basic Google Cloud Platform (GCP) knowledge and skills, and basic Python programming skills, and wants to learn machine learning in GCP to take their next step toward becoming a Google Cloud Certified Machine Learning professional. The book starts by laying the foundations of Google Cloud Platform and Python programming, followed the by building blocks of machine learning, then focusing on machine learning in Google Cloud, and finally ends the studying for the Google Cloud Machine Learning certification by integrating all the knowledge and skills together. The book is based on the graduate courses the author has been teaching at the University of Texas at Dallas. When going through the chapters, the reader is expected to study the concepts, complete the exercises, understand and practice the labs in the appendices, and study each exam question thoroughly. Then, at the end of the learning journey, you can expect to harvest the knowledge, skills, and a certificate. What you will learnProvision Google Cloud services related to data science and machine learningProgram with the Python programming language and data science librariesUnderstand machine learning concepts and model development processesExplore deep learning concepts and neural networksBuild, train, and deploy ML models with Google BigQuery ML, Keras, and Google Cloud Vertex AIDiscover the Google Cloud ML Application Programming Interface (API)Prepare to achieve Google Cloud Professional Machine Learning Engineer certificationWho this book is for Anyone from the cloud computing, data analytics, and machine learning domains, such as cloud engineers, data scientists, data engineers, ML practitioners, and engineers, will be able to acquire the knowledge and skills and achieve the Google Cloud professional ML Engineer certification with this study guide. Basic knowledge of Google Cloud Platform and Python programming is required to get the most out of this book.

Official Google Cloud Certified Professional Machine Learning Engineer Study Guide

Author : Mona Mona
Publisher : John Wiley & Sons
ISBN 13 : 1119981565
Total Pages : 460 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Official Google Cloud Certified Professional Machine Learning Engineer Study Guide by : Mona Mona

Download or read book Official Google Cloud Certified Professional Machine Learning Engineer Study Guide written by Mona Mona and published by John Wiley & Sons. This book was released on 2023-10-27 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expert, guidance for the Google Cloud Machine Learning certification exam In Google Cloud Certified Professional Machine Learning Study Guide, a team of accomplished artificial intelligence (AI) and machine learning (ML) specialists delivers an expert roadmap to AI and ML on the Google Cloud Platform based on new exam curriculum. With Sybex, you’ll prepare faster and smarter for the Google Cloud Certified Professional Machine Learning Engineer exam and get ready to hit the ground running on your first day at your new job as an ML engineer. The book walks readers through the machine learning process from start to finish, starting with data, feature engineering, model training, and deployment on Google Cloud. It also discusses best practices on when to pick a custom model vs AutoML or pretrained models with Vertex AI platform. All technologies such as Tensorflow, Kubeflow, and Vertex AI are presented by way of real-world scenarios to help you apply the theory to practical examples and show you how IT professionals design, build, and operate secure ML cloud environments. The book also shows you how to: Frame ML problems and architect ML solutions from scratch Banish test anxiety by verifying and checking your progress with built-in self-assessments and other practical tools Use the Sybex online practice environment, complete with practice questions and explanations, a glossary, objective maps, and flash cards A can’t-miss resource for everyone preparing for the Google Cloud Certified Professional Machine Learning certification exam, or for a new career in ML powered by the Google Cloud Platform, this Sybex Study Guide has everything you need to take the next step in your career.

Google Certification Guide - Google Associate Cloud Engineer

Author : Cybellium Ltd
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 176 pages
Book Rating : 4.8/5 (712 download)

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Book Synopsis Google Certification Guide - Google Associate Cloud Engineer by : Cybellium Ltd

Download or read book Google Certification Guide - Google Associate Cloud Engineer written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Google Certification Guide - Google Associate Cloud Engineer Embark on Your Cloud Engineering Journey with Google Cloud Begin your path to becoming a Google Associate Cloud Engineer with this comprehensive guide. Designed to provide a clear and concise pathway for professionals and enthusiasts alike, this book demystifies the complexities of Google Cloud, preparing you to excel in the certification exam and beyond. What’s Inside: Fundamental Google Cloud Concepts: Gain a solid understanding of core Google Cloud services, from computing and storage to networking and security. Practical Application: Learn through real-world scenarios and hands-on examples that illustrate effective use of Google Cloud services in diverse environments. Focused Exam Preparation: Detailed insights into the structure and content of the Google Associate Cloud Engineer certification exam, enhanced with practice questions and study tips. Current and Comprehensive: Stay up-to-date with the latest Google Cloud features and industry best practices, ensuring your knowledge is relevant in today’s cloud landscape. Expertly Crafted by a Cloud Professional Written by a seasoned cloud engineer with extensive experience in Google Cloud technologies, this guide blends practical knowledge with insightful tips and tricks, offering a well-rounded approach to cloud engineering. Your Comprehensive Guide to Google Cloud Certification Whether you're starting your career in cloud computing or an experienced professional seeking to validate your Google Cloud skills, this book is an invaluable resource, guiding you through the nuances of Google Cloud and preparing you for the Associate Cloud Engineer exam. Elevate Your Cloud Engineering Skills Move beyond theoretical knowledge and dive into the practical aspects of Google Cloud. This guide is more than a certification prep book; it's your roadmap to achieving proficiency in Google Cloud engineering. Begin Your Google Cloud Journey Step into the role of a Google Associate Cloud Engineer with confidence. This guide is your first step toward mastering Google Cloud technologies and forging a successful career in the dynamic world of cloud computing. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

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

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

Official Google Cloud Certified Professional Data Engineer Study Guide

Author : Dan Sullivan
Publisher : John Wiley & Sons
ISBN 13 : 1119618444
Total Pages : 355 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Official Google Cloud Certified Professional Data Engineer Study Guide by : Dan Sullivan

Download or read book Official Google Cloud Certified Professional Data Engineer Study Guide written by Dan Sullivan and published by John Wiley & Sons. This book was released on 2020-05-18 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proven Study Guide that prepares you for this new Google Cloud exam The Google Cloud Certified Professional Data Engineer Study Guide, provides everything you need to prepare for this important exam and master the skills necessary to land that coveted Google Cloud Professional Data Engineer certification. Beginning with a pre-book assessment quiz to evaluate what you know before you begin, each chapter features exam objectives and review questions, plus the online learning environment includes additional complete practice tests. Written by Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Google Cloud Certified Professional Data Engineer Study Guide is your ace in the hole for deploying and managing analytics and machine learning applications. Build and operationalize storage systems, pipelines, and compute infrastructure Understand machine learning models and learn how to select pre-built models Monitor and troubleshoot machine learning models Design analytics and machine learning applications that are secure, scalable, and highly available. This exam guide is designed to help you develop an in depth understanding of data engineering and machine learning on Google Cloud Platform.

Google Cloud Database Engineer Certification

Author :
Publisher : YouGuide Ltd
ISBN 13 : 1836798261
Total Pages : 239 pages
Book Rating : 4.8/5 (367 download)

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Book Synopsis Google Cloud Database Engineer Certification by :

Download or read book Google Cloud Database Engineer Certification written by and published by YouGuide Ltd. This book was released on 2024-10-26 with total page 239 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