Building Resilient Streaming Systems on GCP em Português Brasileiro

Google Cloud via Coursera

Go to Course: https://www.coursera.org/learn/building-resilient-streaming-systems-gcp-br

Introduction

### Course Review: Building Resilient Streaming Systems on GCP em Português Brasileiro In the ever-evolving world of data engineering and cloud computing, the ability to build resilient streaming systems is becoming increasingly vital. The **Building Resilient Streaming Systems on GCP em Português Brasileiro** course on Coursera offers a valuable opportunity for individuals looking to enhance their skills in data streaming and real-time decision-making. #### Overview This one-week, on-demand course is designed for learners who want to dive deep into the intricacies of building robust data pipelines using the Google Cloud Platform (GCP). Rooted in the core principles of Big Data and Machine Learning, participants will engage in a mix of video lectures, demonstrations, and hands-on labs to gain practical experience. The course emphasizes creating data streaming pipelines with Google Cloud Pub/Sub and Dataflow, positioning learners to make informed decisions in real-time—a critical skill for modern data professionals. #### Course Structure The syllabus comprises five comprehensive modules, each delving into essential aspects of building streaming systems: 1. **Módulo 1: Arquitetura de canais de análise de streaming** This module introduces the fundamental architecture of streaming analysis channels, setting the foundational knowledge required for the rest of the course. 2. **Módulo 2: Ingestão de volumes variáveis** Learners will explore how to handle variable data ingestion efficiently, a crucial aspect of working with diverse datasets in real-time environments. 3. **Módulo 3: Implementação de canais de streaming** This segment focuses on the practical implementation of streaming channels, offering students hands-on experience with the tools and technologies used in the industry. 4. **Módulo 4: Painéis e análises de streaming** Here, participants will learn how to create dashboards to visualize streaming data, rendering tailored responses for various stakeholders—a vital skill for any data analyst or engineer. 5. **Módulo 5: Como lidar com os requisitos de capacidade e latência** The final module addresses the critical aspects of capacity and latency management, ensuring learners can develop systems that are not only resilient but also efficient under load. #### Prerequisites While specific prerequisites for this course are not detailed, a general understanding of cloud computing concepts and familiarity with the basics of data processing will certainly benefit participants. Knowledge of GCP will be advantageous but is not mandatory, making this course accessible to a broader audience. #### Why You Should Enroll 1. **Practical Learning Experience**: The incorporation of hands-on labs ensures that you can apply what you learn immediately, solidifying your understanding of theoretical concepts. 2. **Real-Time Decision-Making Skills**: In today’s data-driven world, being able to make quick, informed decisions based on streaming data can set you apart from your peers. 3. **Expert Instruction**: Being based on Google's well-established GCP, this course draws on best practices and real-world applications, providing relevant skills that are currently in demand. 4. **Flexible Learning**: This is an on-demand course, allowing you to learn at your own pace while fitting the coursework into your busy schedule. 5. **Portuguese Language Instruction**: Designed for Brazilian Portuguese speakers, this course opens up opportunities for native speakers who may find resources in English to be a barrier. #### Conclusion In summary, **Building Resilient Streaming Systems on GCP em Português Brasileiro** is a fantastic resource for anyone looking to advance their skills in data streaming and real-time analytics. Its structured approach, blending theoretical knowledge with practical application, makes it a highly recommended course for both beginners and those looking to refine their expertise in cloud-based data systems. If you’re ready to enhance your data engineering abilities and make impactful contributions to your organization, this course is definitely worth your time!

Syllabus

Módulo 1: Arquitetura de canais de análise de streaming

Módulo 2: Ingestão de volumes variáveis

Módulo 3: Implementação de canais de streaming

Módulo 4: Painéis e análises de streaming

Módulo 5: Como lidar com os requisitos de capacidade e latência