Google Cloud via Coursera |
Go to Course: https://www.coursera.org/learn/serverless-data-analysis-bigquery-cloud-dataflow-gcp-br
## Course Review: Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro In today’s data-driven world, the ability to analyze and process data efficiently is crucial. One of the most effective ways to achieve this is through serverless technologies that allow organizations to scale their data workloads without the overhead of managing the infrastructure. For Portuguese-speaking learners, Coursera offers an exceptional course titled **"Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro."** ### Overview This on-demand course is designed to be completed within a week, focusing on the powerful tools provided by Google Cloud Platform (GCP). The curriculum is grounded in the fundamentals of Big Data and Machine Learning, providing students with a solid foundation to delve into serverless data analysis. The course structure features a mix of instructor-led presentations, demonstrations, and practical labs, ensuring that students not only acquire theoretical knowledge but also gain invaluable hands-on experience. By the end of this course, participants will be equipped with the skills necessary to execute data storage, analysis, and processing pipelines autonomously in a serverless environment. ### Prerequisites Before enrolling in this course, participants should have: - **Basic Knowledge of Big Data and Machine Learning on Google Cloud Platform**: A foundational understanding of the principles of Big Data and Machine Learning will help students grasp the course content more effectively. - **Experience in Using a SQL-like Query Language**: Familiarity with querying data through a SQL interface is essential, as much of the analysis will involve writing and executing queries. ### Syllabus Highlights **Introduction to the Course:** This module provides an overview of what to expect in the course, laying the groundwork for more complex subjects. **Module 1: Análise de dados sem servidor com o BigQuery** In this module, learners explore Google BigQuery, a powerful analytics data warehouse designed for speed and efficiency. They will understand how to perform data analysis without the need for server management. Topics include querying data, generating insights, and scaling analytics capabilities seamlessly. **Module 2: Escalonamento automático de canais de processamento de dados com o Dataflow** Here, students dive into Google Cloud Dataflow, a serverless data processing service. This module covers how to create and manage data processing pipelines that automatically scale based on the workload. Learners will engage in hands-on labs to apply their newfound knowledge practically, solidifying their understanding of serverless processing. ### Recommendations I highly recommend this course for anyone looking to enhance their data analysis skills using Google Cloud technologies, especially for professionals or students fluent in Portuguese. #### Who Should Take This Course? - **Data Analysts**: Those aiming to transition to serverless data analysis will find this course especially beneficial. - **Cloud Enthusiasts**: Individuals interested in expanding their knowledge of Google Cloud tools and serverless architecture. - **Professionals in Data Engineering**: This course is invaluable for data engineers who want to streamline data processing and analysis. ### Conclusion “Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro” is an engaging and insightful course that delivers practical knowledge and skills necessary for effective data analysis in a serverless environment. With its well-structured syllabus and experienced instructors, students will leave with the confidence and expertise to leverage Google Cloud’s capabilities for data-related projects. Don’t miss out on the opportunity to elevate your data analysis skills—enroll today!
Introdução ao curso Serverless Data Analysis with Google BigQuery and Cloud Dataflow
Module 1: Análise de dados sem servidor com o BigQueryModule 2: Escalonamento automático de canais de processamento de dados com o DataflowEste curso rápido sob demanda tem uma semana de duração e é baseado no Google Cloud Platform Big Data and Machine Learning Fundamentals. Por meio de apresentações com instrutores, demonstrações e laboratórios práticos, os alunos aprenderão a executar armazenamento de dados, análise e processamento de pipeline em um ambiente autônomo. Pré-requisitos: • Noções básicas de Big Data e Machine Learning do Google Cloud Platform • Experiência no uso de uma linguagem de consulta semelhante a SQL par
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