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Sabhi Ahmed

Membro dal giorno 2020

Campionato Argento

3800 punti
Badge per Google Cloud Essentials Google Cloud Essentials Earned lug 10, 2020 EDT
Badge per Data Science on Google Cloud Data Science on Google Cloud Earned lug 9, 2020 EDT
Badge per BigQuery for Marketing Analysts BigQuery for Marketing Analysts Earned lug 6, 2020 EDT
Badge per BigQuery for Machine Learning BigQuery for Machine Learning Earned lug 4, 2020 EDT
Badge per BigQuery for Data Warehousing BigQuery for Data Warehousing Earned lug 3, 2020 EDT
Badge per Engineer Data for Predictive Modeling with BigQuery ML Engineer Data for Predictive Modeling with BigQuery ML Earned giu 29, 2020 EDT
Badge per Perform Foundational Data, ML, and AI Tasks in Google Cloud Perform Foundational Data, ML, and AI Tasks in Google Cloud Earned giu 28, 2020 EDT
Badge per [DEPRECATED] Data Engineering [DEPRECATED] Data Engineering Earned giu 27, 2020 EDT
Badge per Baseline: Data, ML, AI Baseline: Data, ML, AI Earned giu 26, 2020 EDT
Badge per Insights from Data with BigQuery Insights from Data with BigQuery Earned giu 24, 2020 EDT
Badge per BigQuery Basics for Data Analysts BigQuery Basics for Data Analysts Earned giu 23, 2020 EDT
Badge per DEPRECATED BigQuery for Data Analysis DEPRECATED BigQuery for Data Analysis Earned giu 23, 2020 EDT

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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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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Want to build ML models in minutes instead of hours using just SQL? BigQuery ML democratizes machine learning by letting data analysts create, train, evaluate, and predict with machine learning models using existing SQL tools and skills. In this series of labs, you will experiment with different model types and learn what makes a good model. 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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Looking to build or optimize your data warehouse? Learn best practices to Extract, Transform, and Load your data into Google Cloud with BigQuery. In this series of interactive labs you will create and optimize your own data warehouse using a variety of large-scale BigQuery public datasets. 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. 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 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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Big data, machine learning e intelligenza artificiale sono i temi più attuali nel campo dell'elaborazione dati. Tuttavia, questi settori sono piuttosto specialistici ed è difficile trovare materiale introduttivo. Fortunatamente, Google Cloud fornisce servizi facili da usare in questi ambiti e il Laboratorio Qwiklabs di livello preliminare ti aiuta a muovere i primi passi con strumenti come Big Query, API Cloud Speech e AI Platform. Completa questo Laboratorio, compreso il Challenge Lab finale, per ricevere un esclusivo badge digitale Google Cloud. I video di un minuto ti guideranno attraverso i concetti chiave di ogni laboratorio.

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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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Big data, machine learning, and artificial intelligence are today’s hot computing topics, but these fields are quite specialized and introductory material is hard to come by. Fortunately, Google Cloud provides user-friendly services in these areas, and with this introductory-level quest, so you can take your first steps with tools like Big Query, Cloud Speech API, and AI Platform. Want extra help? 1-minute videos walk you through key concepts for each lab.

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Vuoi migliorare l'analisi dei dati senza dover gestire hardware del database? Scopri le best practice per le query e per ottenere informazioni dal tuo data warehouse con questa serie interattiva di lab su BigQuery. BigQuery è il database di analisi NoOps e a basso costo completamente gestito di Google. Con BigQuery puoi interrogare terabyte e terabyte di dati senza dover gestire alcuna infrastruttura o aver bisogno di un amministratore del database. BigQuery utilizza SQL e sfrutta i vantaggi offerti dal modello di pagamento a consumo. BigQuery permette di concentrarsi sull'analisi dei dati per trovare informazioni valide. Completa questo Laboratorio, compreso il Challenge Lab finale, per ricevere un esclusivo badge digitale Google Cloud.

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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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Want to learn the core SQL and visualization skills of a Data Analyst? Interested in how to write queries that scale to petabyte-size datasets? Take the BigQuery for Analyst Quest and learn how to query, ingest, optimize, visualize, and even build machine learning models in SQL inside of BigQuery.

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