We may earn an affiliate commission when you visit our partners.

Modernizing Data Lakes and Data Warehouses with GCP en Español

Los dos componentes clave de cualquier canalización de datos son los data lakes y los almacenes de datos. En este curso, se destacan los casos de uso de cada tipo de almacenamiento y se analizan en profundidad las soluciones de data lakes y almacenes disponibles en Google Cloud con detalles técnicos. Además, en este curso, se describen el rol del ingeniero en datos, los beneficios de las canalizaciones de datos exitosas para las operaciones comerciales y por qué la ingeniería de datos debe realizarse en un entorno de nube.Este el primer curso de la serie Data Engineering on Google Cloud. Después de completar este curso, inscríbase en Building Batch Data Pipelines on Google Cloud.

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Two deals to help you save

Save money when you learn. Here are two deals and offers that may be relevant to this course.

All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Valid until July 14

Coursera Plus Annual

Work toward what's next for your career with access to 10,000+ programs. Discover emerging skills and save.

Valid until August 30

Google AI App Builder

Learn how to use Gemini API and API Studio with a three-course series from Google DeepMind

What's inside

Syllabus

Introducción

Este módulo es la introducción a la serie de cursos Data Engineering on Google Cloud y al curso Modernizing Data Lake and Data Warehouses with Google Cloud.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Perfecta para ingenieros de datos que buscan modernizar sus almacenes de datos y lagos de datos utilizando Google Cloud

Adecuada para estudiantes que buscan una base sólida en la ingeniería de datos utilizando Google Cloud

Impartida por Google Cloud Training, reconocidos por su experiencia en la ingeniería de datos en la nube

Cubre los aspectos técnicos de las soluciones de lagos de datos y almacenes de datos disponibles en Google Cloud

Requiere conocimientos previos en ingeniería de datos

No proporciona experiencia práctica en la creación de canalizaciones de datos reales

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.

Save

Reviews summary

Modernización de datos con gcp: curso esencial

Según los estudiantes, este curso ofrece una excelente introducción a los conceptos de data lakes y data warehouses en Google Cloud Platform. Los alumnos valoran las explicaciones claras y concisas del instructor, así como la estructura bien organizada del material. Una característica destacada son los laboratorios prácticos y demos, que resultan muy efectivos para la comprensión. La cobertura de BigQuery es frecuentemente elogiada por su profundidad introductoria. Sin embargo, algunos learners con experiencia previa advierten que el curso puede ser demasiado básico y desearían mayor detalle en ciertos temas o casos de uso más complejos.

Destaca por sus explicaciones detalladas sobre BigQuery.

"Las explicaciones sobre BigQuery son lo más destacado. Entendí perfectamente cómo usar BigQuery para análisis de datos y la importancia de Cloud Storage."

"La explicación de BigQuery y cómo se integra con el ecosistema de GCP es magistral. Los laboratorios son muy efectivos."

"Increíble cómo condensan tanta información relevante en un curso tan manejable. La parte de BigQuery es muy bien abordada."

Los ejercicios y la didáctica son muy efectivos para la comprensión.

"Los laboratorios son muy claros y útiles para entender los conceptos de Cloud Storage y BigQuery."

"El instructor explica de manera concisa y el material está muy bien estructurado. La calidad del audio y video es muy profesional."

"Los demos y ejercicios prácticos me ayudaron a asimilar la información rápidamente. Muy didáctico y bien explicado."

Proporciona una excelente introducción a los conceptos y herramientas clave de GCP.

"Excelente curso introductorio a la ingeniería de datos en GCP. Recomiendo para cualquiera que empiece en el mundo de datos con Google Cloud."

"Muy buen inicio para entender qué son los data lakes y data warehouses en GCP. En general, una base sólida."

"Este curso es fundamental si quieres empezar con Data Engineering en Google Cloud. Aborda los conceptos clave de forma muy clara."

Algunos learners desean más escenarios o casos de uso avanzados.

"Siento que la parte de Cloud Storage podría haber sido un poco más detallada o con más escenarios de uso."

"Me hubiera gustado ver más casos de uso reales o proyectos un poco más complejos. Aun así, es un excelente punto de partida."

"Sería genial si se ofrecieran más recursos complementarios o enlaces a documentación avanzada para aquellos que quieran profundizar."

Muy útil para novatos, pero puede ser básico para profesionales experimentados.

"El curso es útil si eres completamente nuevo en el tema, pero para alguien con experiencia previa en bases de datos o ETL, puede resultar un poco básico."

"Me pareció un poco superficial en algunos temas. Si bien es una introducción, esperaba que 'modernizing' implicara un poco más que solo presentar las herramientas."

"No obstante, para novatos es un buen comienzo. Creo que el curso está perfectamente diseñado para su público objetivo, que es el de iniciación."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Modernizing Data Lakes and Data Warehouses with GCP en Español with these activities:

Assemble a resource toolkit

Show steps

Build a collection of essential resources, including tutorials, documentation, and blog posts, to aid your learning and ongoing reference.

Show steps

Identify and gather relevant resources from reputable sources
Organize the resources into a central location for easy access

Review relational databases

Show steps

Review the basics of relational databases to lay a solid foundation for understanding the principles of data engineering.

Show steps

Revisit concepts of data modeling and normalization
Practice creating tables, indexes, and constraints
Refresh your knowledge on SQL queries

Explore BigQuery tutorials

Show steps

Deepen your understanding of BigQuery by working through interactive tutorials to gain hands-on experience in data warehousing and SQL.

Browse courses on BigQuery

Show steps

Complete the 'BigQuery for Beginners' tutorial
Follow the 'Analyzing Data with SQL' tutorial
Explore advanced BigQuery features through additional tutorials

Five other activities

Expand to see all activities and additional details

Show all eight activities

Attend a data engineering study group

Show steps

Engage in peer discussions to expand your understanding and knowledge of data engineering concepts and best practices.

Browse courses on Data Engineering

Show steps

Join a data engineering study group online or in-person
Participate actively in group discussions and knowledge-sharing sessions

Attend a BigQuery workshop

Show steps

Gain hands-on experience and in-depth knowledge of BigQuery by participating in a dedicated workshop led by experts.

Browse courses on BigQuery

Show steps

Register for a BigQuery workshop in your area or online
Actively engage in workshop activities and ask questions

Build a data lake prototype

Show steps

Apply your understanding of data lakes by constructing a basic data lake prototype using Cloud Storage and BigQuery to manage and analyze data.

Browse courses on Data Lakes

Show steps

Create a Cloud Storage bucket
Set up a BigQuery dataset
Load data into Cloud Storage and BigQuery
Explore and analyze the data using SQL

Contribute to open-source data engineering projects

Show steps

Gain practical experience and make valuable contributions to the data engineering community by participating in open-source projects.

Browse courses on Data Engineering

Show steps

Identify open-source data engineering projects seeking contributors
Review project documentation and select a suitable task
Contribute code, documentation, or bug fixes to the project

Participate in a data engineering hackathon

Show steps

Challenge yourself by applying your data engineering skills in a competitive environment to solve real-world data-related problems.

Browse courses on Data Engineering

Show steps

Identify and register for an appropriate data engineering hackathon
Collaborate with a team or work individually to develop a solution
Present your solution to a panel of judges

Career center

Learners who complete Modernizing Data Lakes and Data Warehouses with GCP en Español will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers design, build, and maintain data pipelines that move data between different systems. They also develop and implement data quality processes to ensure that data is accurate and reliable. This course provides Data Engineers with a deep understanding of data lake and data warehouse technologies, which are essential for building and maintaining data pipelines. By completing this course, Data Engineers will be better equipped to design and build scalable and efficient data pipelines.

See salaries and explore the career path for Data Engineer

Data Architect

Data Architects design and implement data management solutions. They work with businesses to determine their data management needs and then design and implement solutions that meet those needs. This course helps Data Architects build a foundation in data lake and data warehouse technologies, which are essential for building and maintaining data management solutions. By completing this course, Data Architects will be better equipped to design and implement scalable and efficient data lakes and data warehouses.

See salaries and explore the career path for Data Architect

Data Warehouse Architect

Data Warehouse Architects design and implement data warehouses. They work with businesses to determine their data warehousing needs and then design and implement solutions that meet those needs. This course helps Data Warehouse Architects build a foundation in data lake and data warehouse technologies, which are essential for building and maintaining data warehouses. By completing this course, Data Warehouse Architects will be better equipped to design and implement scalable and efficient data warehouses.

See salaries and explore the career path for Data Warehouse Architect

Data Analyst

Data Analysts provide information and insights that help businesses make informed decisions. They use their understanding of data to identify trends, patterns, and anomalies. This course helps Data Analysts build a foundation in data lake and data warehouse technologies, which are essential for storing and managing large volumes of data. By completing this course, Data Analysts will be better equipped to gather, clean, and analyze data to help their organizations make better decisions.

See salaries and explore the career path for Data Analyst

Data Governance Analyst

Data Governance Analysts develop and implement data governance policies and procedures. They work with businesses to determine their data governance needs and then develop and implement solutions that meet those needs. This course helps Data Governance Analysts build a foundation in data lake and data warehouse technologies, which are essential for storing and managing large volumes of data. By completing this course, Data Governance Analysts will be better equipped to develop and implement data governance policies and procedures that involve data lakes and data warehouses.

See salaries and explore the career path for Data Governance Analyst

Business Intelligence Analyst

Business Intelligence Analysts use data to identify trends and patterns that can help businesses make better decisions. They develop and implement reporting and visualization tools to help businesses understand their data. This course helps Business Intelligence Analysts build a foundation in data lake and data warehouse technologies, which are essential for storing and managing large volumes of data. By completing this course, Business Intelligence Analysts will be better equipped to gather, clean, and analyze data to develop insights that can help their businesses make better decisions.

See salaries and explore the career path for Business Intelligence Analyst

Machine Learning Engineer

Machine Learning Engineers develop and implement machine learning models. They work with businesses to determine their machine learning needs and then design and implement solutions that meet those needs. This course helps Machine Learning Engineers build a foundation in data lake and data warehouse technologies, which are essential for storing and managing large volumes of data. By completing this course, Machine Learning Engineers will be better equipped to gather, clean, and analyze data to develop and implement machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use statistical and machine learning techniques to extract insights from data. They develop and implement predictive models to help businesses make informed decisions. This course helps Data Scientists build a foundation in data lake and data warehouse technologies, which are essential for storing and managing large volumes of data. By completing this course, Data Scientists will be better equipped to gather, clean, and analyze data to develop predictive models.

See salaries and explore the career path for Data Scientist

Database Administrator

Database Administrators maintain and optimize databases to ensure that they are performing optimally. They also implement security measures to protect data from unauthorized access. This course helps Database Administrators build a foundation in data lake and data warehouse technologies, which are becoming increasingly popular for storing and managing large volumes of data. By completing this course, Database Administrators will be better equipped to manage and optimize data lakes and data warehouses.

See salaries and explore the career path for Database Administrator

Cloud Architect

Cloud Architects design and implement cloud computing solutions. They work with businesses to determine their cloud computing needs and then design and implement solutions that meet those needs. This course helps Cloud Architects build a foundation in data lake and data warehouse technologies, which are essential for building and maintaining cloud computing solutions. By completing this course, Cloud Architects will be better equipped to design and implement scalable and efficient data lakes and data warehouses in the cloud.

See salaries and explore the career path for Cloud Architect

Technical Program Manager

Technical Program Managers lead and manage technical projects. They work with businesses to determine their project needs and then develop and implement plans to meet those needs. This course helps Technical Program Managers build a foundation in data lake and data warehouse technologies, which are becoming increasingly popular for storing and managing large volumes of data. By completing this course, Technical Program Managers will be better equipped to lead and manage technical projects that involve data lakes and data warehouses.

See salaries and explore the career path for Technical Program Manager

Project Manager

Project Managers lead and manage projects. They work with businesses to determine their project needs and then develop and implement plans to meet those needs. This course helps Project Managers build a foundation in data lake and data warehouse technologies, which are becoming increasingly popular for storing and managing large volumes of data. By completing this course, Project Managers will be better equipped to lead and manage projects that involve data lakes and data warehouses.

See salaries and explore the career path for Project Manager

Product Manager

Product Managers define and manage the development of products. They work with businesses to determine their product needs and then develop and implement plans to meet those needs. This course helps Product Managers build a foundation in data lake and data warehouse technologies, which are becoming increasingly popular for storing and managing large volumes of data. By completing this course, Product Managers will be better equipped to define and manage products that involve data lakes and data warehouses.

See salaries and explore the career path for Product Manager

Business Analyst

Business Analysts define and manage the development of business processes. They work with businesses to determine their business needs and then develop and implement plans to meet those needs. This course helps Business Analysts build a foundation in data lake and data warehouse technologies, which are becoming increasingly popular for storing and managing large volumes of data. By completing this course, Business Analysts will be better equipped to define and manage business processes that involve data lakes and data warehouses.

See salaries and explore the career path for Business Analyst

Software Engineer

Software Engineers design, develop, and maintain software applications. They work with businesses to determine their software needs and then design and implement solutions that meet those needs. This course helps Software Engineers build a foundation in data lake and data warehouse technologies, which are becoming increasingly popular for storing and managing large volumes of data. By completing this course, Software Engineers will be better equipped to design and implement scalable and efficient data lakes and data warehouses.

See salaries and explore the career path for Software Engineer

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Modernizing Data Lakes and Data Warehouses with GCP en Español.

The Data Warehouse Toolkit

Save

Is considered a classic in the field of data warehousing. It provides a comprehensive guide to dimensional modeling, a fundamental concept in data warehousing design.

The Data Warehouse Toolkit

Paperback

Check price

The Data Warehouse Toolkit

Kindle Edition

Check price

Designing Data-Intensive Applications

Save

Foundational text on data-intensive applications. It covers key principles of data modeling, data storage, and data management, making it a valuable resource for those seeking to understand the underlying concepts of modern data systems.

(English) Designing Data-Intensive Applications: The Big...

Paperback

(English) Designing Data-Intensive Applications: The Big...

Kindle Edition

Enterprise Integration Patterns

Save

Introduces data-oriented architecture as a design paradigm for modern data systems. It covers key concepts and patterns for data integration and management.

(English) Enterprise Integration Patterns: Designing,...

Hardcover

$$$

(English) Enterprise Integration Patterns: Designing,...

Kindle Edition

$$$

Hadoop: The Definitive Guide

Save

Is considered a foundational text on Hadoop, a widely used framework for big data processing. It provides a comprehensive guide to Hadoop's architecture, components, and programming models.

(English) Hadoop: The Definitive Guide: Storage and Analysis...

Paperback

(English) Hadoop: The Definitive Guide

Kindle Edition

(English) Hadoop: The Definitive Guide

Paperback

(English) Hadoop: The Definitive Guide

Paperback

Spark: The Definitive Guide

Save

Is considered a foundational text on Apache Spark, a popular framework for big data processing. It provides a comprehensive guide to Spark's architecture, components, and programming models.

(English) Spark: The Definitive Guide: Big Data Processing...

Paperback

(English) Spark: The Definitive Guide: Big Data Processing...

Kindle Edition

Data Science for Business

Save

Provides a comprehensive introduction to data science. It covers the fundamentals of data analysis, machine learning, and data visualization, making it a useful resource for those seeking to understand the broader context of data engineering.

(English) Data Science for Business: What You Need to Know...

Paperback

(English) Data Science for Business: What You Need to Know...

Kindle Edition

Big Data, Big Analytics

Save

Provides a comprehensive overview of big data analytics. It covers the fundamentals of data exploration, data mining, and data visualization, making it a useful resource for those seeking to understand the process of extracting insights from large datasets.

(English) Big Data, Big Analytics: Emerging Business...

Hardcover

(English) Big Data, Big Analytics: Emerging Business...

Kindle Edition

Help others find this course page by sharing it with your friends and followers: