NCAA® March Madness®: Bracketology with Google Cloud
Earned Ağu 2, 2020 EDT
Google Cloud Essentials
Earned Tem 12, 2020 EDT
Veri analizi girişimlerinizi, veritabanı donanımını yönetme zahmeti olmadan ölçeklemek mi istiyorsunuz? BigQuery laboratuvarlarından oluşan bu etkileşimli seride, veri ambarınızı sorgulama ve veri ambarınızla ilişkili analizleri alma konusunda en iyi uygulamaları öğrenebilirsiniz. BigQuery, Google’ın tümüyle yönetilen, NoOps özellikli, düşük maliyetli analitik veritabanıdır. BigQuery ile terabaytlarca veriyi, yönetilmesi gereken bir altyapıya ya da bir veritabanı yöneticisine ihtiyaç duymadan sorgulayabilirsiniz. SQL kullanan BigQuery’de, kullandıkça öde modelinin avantajlarından yararlanabilirsiniz. Ayrıca BigQuery, anlamlı bulgular elde edebilmeniz için veri analizine odaklanmanıza olanak sağlar. Bu görevi, görev sonundaki yarışma laboratuvarı da dahil olmak üzere tamamladığınızda, size özel bir Google Cloud dijital rozetine hak kazanırsınız.
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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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If you are a novice cloud developer looking for hands-on practice beyond Google Cloud Essentials, this quest is for you. You will get practical experience through labs that dive into Cloud Storage and other key application services like Stackdriver and Cloud Functions. By taking this quest, you will develop valuable skills that are applicable to any Google Cloud initiative. 1-minute videos walk you through key concepts for these labs.
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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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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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Earn a skill badge by completing the Explore Machine Learning Models with Explainable AI quest, where you will learn how to do the following using Explainable AI: build and deploy a model to an AI platform for serving (prediction), use the What-If Tool with an image recognition model, identify bias in mortgage data using the What-If Tool, and compare models using the What-If Tool to identify potential bias. 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 quest and the final assessment challenge lab to receive a skill badge that you can share with your network.
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Getting Started - Create and Manage Cloud Resources görevinden daha üst seviyede pratik yapmak isteyen, sınırlı deneyime sahip bir bulut geliştiricisiyseniz bu görev tam size göre. Cloud Storage ve Stackdriver ile Cloud Functions gibi diğer önemli uygulama hizmetlerini konu alan laboratuvarlar sayesinde pratik deneyim sahibi olacaksınız. Bu göreve katılarak herhangi bir Google Cloud girişiminde kullanabileceğiniz değerli beceriler edineceksiniz. Bu görevi, görev sonundaki yarışma laboratuvarı da dahil olmak üzere tamamladığınızda, size özel bir Google Cloud dijital rozetine hak kazanırsınız. Laboratuvarlarda, anahtar kavramlarla ilgili 1 dakikalık yol gösterici videolar bulunur.
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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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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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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.
Insights from Data with BigQuery
Earned Ağu 8, 2020 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned Ağu 6, 2020 EDT
Baseline: Infrastructure
Earned Ağu 6, 2020 EDT
BigQuery Basics for Data Analysts
Earned Ağu 6, 2020 EDT
![Badge for [DEPRECATED] Data Engineering](https://cdn.qwiklabs.com/%2BCsWnL49dO1EiQScypoKfAJdI8oWEgDWqu5PBt%2FWepc%3D)
[DEPRECATED] Data Engineering
Earned Ağu 6, 2020 EDT
DEPRECATED Explore Machine Learning Models with Explainable AI
Earned Ağu 5, 2020 EDT
Perform Foundational Infrastructure Tasks in Google Cloud
Earned Ağu 4, 2020 EDT
Implement Load Balancing on Compute Engine
Earned Ağu 3, 2020 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned Ağu 2, 2020 EDT
Google Cloud Essentials
Earned Tem 12, 2020 EDT