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Fani Widodo

Jest członkiem od 2021

Liga srebrna

10800 pkt.
Odznaka dla Scaling with Google Cloud Operations Scaling with Google Cloud Operations Earned mar 19, 2022 EDT
Odznaka dla Modernize Infrastructure and Applications with Google Cloud Modernize Infrastructure and Applications with Google Cloud Earned mar 19, 2022 EDT
Odznaka dla Exploring Data Transformation with Google Cloud Exploring Data Transformation with Google Cloud Earned mar 19, 2022 EDT
Odznaka dla Digital Transformation with Google Cloud Digital Transformation with Google Cloud Earned mar 17, 2022 EDT
Odznaka dla Managing Cloud Infrastructure with Terraform Managing Cloud Infrastructure with Terraform Earned sty 19, 2022 EST
Odznaka dla Build Infrastructure with Terraform on Google Cloud Build Infrastructure with Terraform on Google Cloud Earned sty 18, 2022 EST
Odznaka dla Cloud Development Cloud Development Earned sty 18, 2022 EST
Odznaka dla Optimize Your Google Cloud Costs Optimize Your Google Cloud Costs Earned sty 18, 2022 EST
Odznaka dla Cloud Logging Cloud Logging Earned sty 18, 2022 EST
Odznaka dla DEPRECATED Google Cloud's Operations Suite DEPRECATED Google Cloud's Operations Suite Earned sty 18, 2022 EST
Odznaka dla Using the Cloud SDK Command Line Using the Cloud SDK Command Line Earned sty 18, 2022 EST
Odznaka dla Build Apps & Websites with Firebase Build Apps & Websites with Firebase Earned sty 18, 2022 EST
Odznaka dla Develop Serverless Apps with Firebase Develop Serverless Apps with Firebase Earned sty 18, 2022 EST
Odznaka dla Develop Serverless Applications on Cloud Run Develop Serverless Applications on Cloud Run Earned sty 17, 2022 EST
Odznaka dla Google Cloud Run Serverless Workshop Google Cloud Run Serverless Workshop Earned sty 17, 2022 EST
Odznaka dla Understand Your Google Cloud Costs Understand Your Google Cloud Costs Earned sty 17, 2022 EST
Odznaka dla Google Cloud Essentials Google Cloud Essentials Earned sty 17, 2022 EST
Odznaka dla Perform Foundational Infrastructure Tasks in Google Cloud Perform Foundational Infrastructure Tasks in Google Cloud Earned sty 17, 2022 EST
Odznaka dla Implement Load Balancing on Compute Engine Implement Load Balancing on Compute Engine Earned sty 17, 2022 EST
Odznaka dla Engineer Data for Predictive Modeling with BigQuery ML Engineer Data for Predictive Modeling with BigQuery ML Earned wrz 19, 2021 EDT
Odznaka dla [DEPRECATED] Data Engineering [DEPRECATED] Data Engineering Earned wrz 19, 2021 EDT
Odznaka dla Build a Data Warehouse with BigQuery Build a Data Warehouse with BigQuery Earned wrz 18, 2021 EDT
Odznaka dla Perform Foundational Data, ML, and AI Tasks in Google Cloud Perform Foundational Data, ML, and AI Tasks in Google Cloud Earned wrz 17, 2021 EDT
Odznaka dla Create ML Models with BigQuery ML Create ML Models with BigQuery ML Earned wrz 17, 2021 EDT
Odznaka dla Integrate with Machine Learning APIs Integrate with Machine Learning APIs Earned wrz 17, 2021 EDT
Odznaka dla Scientific Data Processing Scientific Data Processing Earned wrz 17, 2021 EDT
Odznaka dla Data Science on Google Cloud Data Science on Google Cloud Earned wrz 16, 2021 EDT
Odznaka dla BigQuery for Marketing Analysts BigQuery for Marketing Analysts Earned wrz 16, 2021 EDT
Odznaka dla Applied Data: Blockchain Applied Data: Blockchain Earned wrz 16, 2021 EDT
Odznaka dla Data Catalog Fundamentals Data Catalog Fundamentals Earned wrz 16, 2021 EDT
Odznaka dla Insights from Data with BigQuery Insights from Data with BigQuery Earned wrz 16, 2021 EDT
Odznaka dla NCAA® March Madness®: Bracketology with Google Cloud NCAA® March Madness®: Bracketology with Google Cloud Earned wrz 16, 2021 EDT
Odznaka dla Prepare Data for Looker Dashboards and Reports Prepare Data for Looker Dashboards and Reports Earned wrz 16, 2021 EDT
Odznaka dla BigQuery Basics for Data Analysts BigQuery Basics for Data Analysts Earned wrz 14, 2021 EDT

Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task. Scaling with Google Cloud Operations explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. 'Modernize Infrastructure and Applications with Google Cloud' explores these challenges and offers solutions to overcome them by using cloud technology. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences. “Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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There's much excitement about cloud technology and digital transformation, but often many unanswered questions. For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin? If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.

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In this Quest, the experienced user of Google Cloud will learn how to describe and launch cloud resources with Terraform, an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. In these nine hands-on labs, you will work with example templates and understand how to launch a range of configurations, from simple servers, through full load-balanced applications.

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Complete the intermediate Build Infrastructure with Terraform on Google Cloud skill badge to demonstrate skills in the following: Infrastructure as Code (IaC) principles using Terraform, provisioning and managing Google Cloud resources with Terraform configurations, effective state management (local and remote), and modularizing Terraform code for reusability and organization. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.

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The hands-on labs in this Quest are structured to give experienced app developers hands-on practice with the state-of-the-art developing applications in Google Cloud. The topics align with the Google Cloud Certified Professional Cloud Developer Certification. These labs follow the sequence of activities needed to create and deploy an app in Google Cloud from beginning to end. Be aware that while practice with these labs will increase your skills and abilities, it is recommended that you also review the exam guide and other available preparation resources.

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This is the second Quest in a two-part series on Google Cloud billing and cost management essentials. This Quest is most suitable for those in a Finance and/or IT related role responsible for optimizing their organization’s cloud infrastructure. Here you'll learn several ways to control and optimize your Google Cloud costs, including setting up budgets and alerts, managing quota limits, and taking advantage of committed use discounts. In the hands-on labs, you’ll practice using various tools to control and optimize your Google Cloud costs or to influence your technology teams to apply the cost optimization best practices.

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Cloud Logging is a fully managed service that performs at scale. It can ingest application and system log data from thousands of VMs and, even better, analyze all that log data in real time. In this fundamental-level Quest, you learn how to store, search, analyze, monitor, and alert on log data and events from Google Cloud. The labs in the Quest give you hands-on practice using Cloud Logging to maximize your learning experience and provide insight on how you can use Cloud Logging to your own Google Cloud environment.

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Learn the ins and outs of Google Cloud's operations suite, an important service for generating insights into the health of your applications. It provides a wealth of information in application monitoring, report logging, and diagnoses. These labs will give you hands-on practice with and will teach you how to monitor virtual machines, generate logs and alerts, and create custom metrics for application data. It is recommended that the students have at least earned a Badge by completing the Google Cloud Essentials. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this course, enroll in and finish the challenge lab at the end of the Monitor and Log with Google Cloud Operations Suite to receive an exclusive Google Cloud digital badge.

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For everyone using Google Cloud Platform for the first time, getting familar with gcloud, Google Cloud's command line, will help you get up to speed faster. In this quest, you'll learn how to install and configure Cloud SDK, then use gcloud to perform some basic operations like creating VMs, networks, using BigQuery, and using gsutil to perform operations.

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Firebase is a backend-as-service (Bass) platform for creating mobile and web applications. In this quest you will learn to build serverless web apps, import data into a serverless database, and build a Google Assistant application with Firebase and its Google Cloud integrations. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.

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Complete the intermediate Develop Serverless Apps with Firebase skill badge to demonstrate skills in the following: architecting and building serverless web applications with Firebase, utilizing Firestore for database management, automating deployment processes using Cloud Build, and integrating Google Assistant functionality into your applications. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.

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Complete the intermediate Develop Serverless Applications on Cloud Run skill badge to demonstrate skills in the following: integrating Cloud Run with Cloud Storage for data management, architecting resilient asynchronous systems using Cloud Run and Pub/Sub, constructing REST API gateways powered by Cloud Run, and building and deploying services on Cloud Run. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.

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Twelve years ago Lily started the Pet Theory chain of veterinary clinics, and has been expanding rapidly. Now, Pet Theory is experiencing some growing pains: their appointment scheduling system is not able to handle the increased load, customers aren't receiving lab results reliably through email and text, and veteranerians are spending more time with insurance companies than with their patients. Lily wants to build a cloud-based system that scales better than the legacy solution and doesn't require lots of ongoing maintenance. The team has decided to go with serverless technology. For the labs in the Google Cloud Run Serverless Quest, you will read through a fictitious business scenario in each lab and assist the characters in implementing a serverless solution. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google…

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This Quest is most suitable for those working in a technology or finance role who are responsible for managing Google Cloud costs. You’ll learn how to set up a billing account, organize resources, and manage billing access permissions. In the hands-on labs, you'll learn how to view your invoice, track your Google Cloud costs with Billing reports, analyze your billing data with BigQuery or Google Sheets, and create custom billing dashboards with Looker Studio. References made to links in the videos can be accessed in this Additional Resources document.

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In this introductory-level Quest, you will get hands-on practice with the Google Cloud’s fundamental tools and services. Google Cloud Essentials is the recommended first Quest for the Google Cloud learner - you will come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first Google Cloud project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features. 1-minute videos walk you through key concepts for each lab.

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Jeśli jesteś początkującym programistą aplikacji internetowych i potrzebujesz dodatkowych ćwiczeń praktycznych (poza zawartymi w kursie Pierwsze kroki – Tworzenie zasobów w Google Cloud i zarządzanie nimi), ten kurs jest dla Ciebie. Obejmuje on moduły dotyczące Cloud Storage i innych kluczowych aplikacji oraz usług, takich jak Stackdriver czy Cloud Functions. Uczestnicząc w nim, zdobędziesz wartościowe umiejętności i doświadczenie przydatne w każdym projekcie Google Cloud. Jeśli ukończysz ten kurs wraz z Challenge Lab na końcu, otrzymasz cyfrową plakietkę Google Cloud. Przez kluczowe pojęcia dotyczące poszczególnych modułów przeprowadzą Cię 1-minutowe filmy.

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Complete the introductory Implement Load Balancing on Compute Engine skill badge to demonstrate skills in the following: writing gcloud commands and using Cloud Shell, creating and deploying virtual machines in Compute Engine, and configuring network and HTTP load balancers. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge, and the final assessment challenge lab, to receive a skill badge that you can share with your network.

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Complete the intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; building machine learning models using BigQuery ML; and using Cloud Composer to copy data across multiple locations. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge course, and final assessment challenge lab, to receive a digital badge that you can share with your network.

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This advanced-level quest is unique amongst the other catalog offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification. From Big Query, to Dataprep, to Cloud Composer, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, you will need other preparation, too. The exam is quite challenging and external studying, experience, and/or background in cloud data engineering is recommended. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of the Engineer Data in the Google Cloud to receive an exclusive Google Cloud digital badge.

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Complete the intermediate Build a Data Warehouse with BigQuery skill badge to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge course, and final assessment challenge lab, to receive a digital badge that you can share with your network. For practice with BigQuery fundamentals (including working with the console and command line), complete the course titled BigQuery Basics for Data Analysts.

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Big data, systemy uczące się i sztuczna inteligencja to popularne tematy w branży IT, ale są to wyspecjalizowane dziedziny, przez co trudno znaleźć materiały wprowadzające w te zagadnienia. Na szczęście Google Cloud zapewnia łatwe w użyciu usługi związane z tymi obszarami, a w Qwiklabs dostępny jest kurs z poziomu wprowadzającego, który pozwala wypróbować narzędzia, takie jak Big Query, Cloud Speech API czy AI Platform. Jeśli ukończysz ten kurs wraz z Challenge Lab na końcu, otrzymasz cyfrową plakietkę Google Cloud. Przez kluczowe pojęcia dotyczące poszczególnych modułów przeprowadzą Cię 1-minutowe filmy.

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Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in the following: creating and evaluating machine learning models with BigQuery ML to make data predictions. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course, and the final assessment challenge lab, to receive a skill badge that you can share with your network.

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Earn a skill badge by completing the Integrate with Machine Learning APIs course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Cloud Translation API, and Cloud Natural Language API. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course, and the final assessment challenge lab, to receive a skill badge that you can share with your network.

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Big data, machine learning, and scientific data? It sounds like the perfect match. In this advanced-level quest, you will get hands-on practice with GCP services like Big Query, Dataproc, and Tensorflow by applying them to use cases that employ real-life, scientific data sets. By getting experience with tasks like earthquake data analysis and satellite image aggregation, Scientific Data Processing will expand your skill set in big data and machine learning so you can start tackling your own problems across a spectrum of scientific disciplines.

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This is the first of two Quests of hands-on labs is derived from the exercises from the book Data Science on Google Cloud Platform, 2nd Edition by Valliappa Lakshmanan, published by O'Reilly Media, Inc. In this first Quest, covering up through chapter 8, you are given the opportunity to practice all aspects of ingestion, preparation, processing, querying, exploring and visualizing data sets using Google Cloud tools and services.

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Want to turn your marketing data into insights and build dashboards? Bring all of your data into one place for large-scale analysis and model building. Get repeatable, scalable, and valuable insights into your data by learning how to query it and using BigQuery. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.

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Blockchain and related technologies, such as distributed ledger and distributed apps, are becoming new value drivers and solution priorities in many industries. In this Quest you will gain hands-on experience with distributed ledger and the exploration of blockchain datasets in Google Cloud. This Quest brings the research and solution work of Google's Allen Day into self-paced labs for you to run and learn directly. Since this Quest utilizes advanced SQL in BigQuery, a SQL-in-BigQuery refresher lab is at the start. The final lab is an advanced challenge-style lab in which there are elements where you are not provided the answer but must solve it for yourself.

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Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, understand, and manage all of their data. In this quest you will start small by learning how to search and tag data assets and metadata with Data Catalog. After learning how to build your own tag templates that map to BigQuery table data, you will learn how to build MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors.

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Chcesz zwiększyć zakres swoich analiz danych bez konieczności zarządzania serwerem z bazą danych? Poznaj sprawdzone metody wykonywania zapytań i uzyskiwania statystyk ze swojej hurtowni danych dzięki tej interaktywnej serii modułów dotyczących BigQuery. BigQuery to w pełni zarządzana i zautomatyzowana baza danych Google pozwalająca przeprowadzać analizę danych niskim kosztem. Umożliwia przeszukiwanie terabajtów danych bez konieczności zarządzania infrastrukturą czy zatrudniania administratora bazy danych. BigQuery używa języka SQL i może wykorzystywać model płatności według wykorzystania. Dzięki BigQuery możesz skupić się na analizowaniu danych i znajdowaniu przydatnych statystyk. Jeśli ukończysz ten kurs wraz z Challenge Lab na końcu, otrzymasz cyfrową plakietkę Google Cloud.

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In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.

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Complete the introductory Prepare Data for Looker Dashboards and Reports skill badge to demonstrate skills in the following: filtering, sorting, and pivoting data, merging results from different Looker Explores, and using functions and operators to build Looker dashboards and reports for data analysis and visualization. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.

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Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.

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