Leveraging Unstructured Data with Cloud Dataproc on Google Cloud em Português Brasileiro

Google Cloud via Coursera

Go to Course: https://www.coursera.org/learn/leveraging-unstructured-data-dataproc-gcp-br

Introduction

### Course Review: Leveraging Unstructured Data with Cloud Dataproc on Google Cloud #### Overview If you're looking to deepen your understanding of data engineering and harness the power of unstructured data, the course titled **"Leveraging Unstructured Data with Cloud Dataproc on Google Cloud"** is a compelling option. Conducted in Brazilian Portuguese, this one-week intensive course builds upon the foundational courses from the Data Engineering specialization on the Google Cloud Platform (GCP). It provides a balanced mix of video lectures, practical demonstrations, and hands-on labs to offer a robust learning experience. #### Course Content and Structure The course is thoughtfully laid out in four main modules: 1. **Módulo 1: Introdução ao Cloud Dataproc** - This introductory module serves as a reorientation for those who have taken earlier courses in the specialization. You will learn how to create and manage computing clusters essential for executing jobs using popular distributed processing frameworks such as Hadoop, Spark, Pig, and Hive. This foundation is vital for anyone intending to work with big data on GCP. 2. **Módulo 2: Como Executar Jobs do Dataproc** - In this module, the course delves deeper into the practical aspects of executing jobs on Cloud Dataproc. You will gain insights into job submission processes, monitoring, and optimization techniques to enhance the efficiency of your data processing tasks. 3. **Módulo 3: Como Usar o GCP** - Understanding the Google Cloud Platform is crucial, and this module offers practical knowledge on leveraging its myriad features. You will explore the tools and services available on GCP that can complement your data engineering practices, allowing you to effectively set up your environment. 4. **Módulo 4: Como Analisar Dados Não Estruturados** - The final module focuses on the critical analytical techniques for unstructured data. You’ll learn how to access various Cloud Storage options, integrate with Google Machine Learning capabilities, and implement data analysis tasks that reveal insights hidden within unstructured datasets. #### Review **Content Quality:** The quality of the course material is exceptional, with clear explanations and practical examples that make even complex concepts approachable. The use of Brazilian Portuguese ensures that native speakers can fully engage with the content without language barriers. **Practical Application:** One of the standout features of this course is its hands-on approach. The labs provide opportunities to apply theoretical knowledge in real-world scenarios—crucial for reinforcing learning. The course effectively bridges the gap between theory and practice. **Instructor Expertise:** The instructors are knowledgeable and experienced in their fields. Their passion for data engineering shines through in their teaching style, making even the more complex aspects of unstructured data processing engaging and easier to understand. **Community and Support:** Enrolling in this course connects you with a vibrant community of learners. Discussion forums allow for collaboration and knowledge sharing, enhancing the overall learning experience. #### Recommendation I highly recommend the **"Leveraging Unstructured Data with Cloud Dataproc on Google Cloud"** course to anyone interested in data engineering, especially those keen to work with unstructured data. Whether you're a student, a professional looking to upskill, or a data enthusiast, this course will equip you with the essential tools and techniques needed in today's data-driven environment. Whether you are starting your journey into data engineering or looking to fortify your existing skills with practical cloud-based applications, enrolling in this course could prove to be a pivotal step in your professional growth. Grab this opportunity to unlock the potential of unstructured data with Cloud Dataproc and GCP!

Syllabus

Módulo 1: introdução ao Cloud Dataproc

Este curso intensivo de uma semana é uma continuação dos cursos anteriores da especialização Data Engineering on Google Cloud Platform. Por meio de uma combinação de palestras em vídeo, demonstrações e laboratórios práticos, você aprenderá a criar e gerenciar clusters de computação para executar jobs do Hadoop, Spark, Pig e/ou Hive no Google Cloud Platform. Você também verá como acessar várias opções do Cloud Storage a partir dos seus clusters de computação, além de integrar recursos de aprendizado de máquina do Google aos seus programas de análise.

Módulo 2: como executar jobs do Dataproc

Módulo 3: como usar o GCP

Módulo 4: como analisar dados não estruturados