Amazon Redshift: Introducción al Almacenamiento de Datos from Coursera

* Creando nuestra cuenta en AWS y entendiendo los fundamentos de la nube de Amazon.

* Configurando nuestra propia instancia de Amazon Redshift.

* Comprendiendo el uso y aplicación del entorno de trabajo de "Query Editor" para la creación de esquemas y bases de datos.

* Poniendo en práctica todo lo aprendido con la creación de una tabla de <>.

* Comprendiendo cómo se realiza el proceso de inserción de registros y datos en tablas, utilizando el entorno de trabajo de Query Editor”.

* Finalmente, poniendo en práctica todo lo aprendido en la inserción de registros en la tabla de "Profesores", utilizando el entorno de Query Editor de Amazon Redshift”.

Para lograr esto, trabajaremos en una serie de tareas que nos permitirán conocer en mayor profundidad los usos y características de este servicio y principalmente hacer uso práctico de las herramientas que la plataforma nos ofrece. Para tener éxito en este proyecto, tendrás que poseer conocimientos previos sobre los siguientes temas:

* Fundamentos esenciales de los servicios de la nube, con especial foco en AWS.

* Entendimiento sobre DataWarehousing y sus aplicaciones.

* Uso de SQL para la realización de consultas e inserciones de datos básicas (Ej: SELECT, INSERT, UPDATE y DELETE).

Por último, también deberás realizar todas las prácticas asociadas y contar con un deseo de aprender más acerca de esta poderosa herramienta de DataWarehousing.

What's inside

Syllabus

Project OverView

Este proyecto guiado: Amazon Redshift for Beginners: Intro to Data Warehousing, es para conocer las principales potencialidades que nos ofrece Amazon Redshift para la analítica de datos. En este curso basado en proyectos de aproximadamente 45 minutos de duración aprenderá cómo hacerlo: * Creando nuestra cuenta en AWS y entendiendo los fundamentos de la nube de Amazon. * Configurando nuestra propia instancia de Amazon Redshift. * Comprendiendo el uso y aplicación del entorno de trabajo de "Query Editor" para la creación de esquemas y bases de datos. * Poniendo en práctica todo lo aprendido con la creación de una tabla de <<Profesores>>. * Comprendiendo cómo se realiza el proceso de inserción de registros y datos en tablas, utilizando el entorno de trabajo de Query Editor”. * Finalmente, poniendo en práctica todo lo aprendido en la inserción de registros en la tabla de "Profesores", utilizando el entorno de Query Editor de Amazon Redshift”. Para lograr esto, trabajaremos en una serie de tareas que nos permitirán conocer en mayor profundidad los usos y características de este servicio y principalmente hacer uso práctico de las herramientas que la plataforma nos ofrece. Para tener éxito en este proyecto, tendrás que poseer conocimientos previos sobre los siguientes temas: * Fundamentos esenciales de los servicios de la nube, con especial foco en AWS. * Entendimiento sobre DataWarehousing y sus aplicaciones. * Uso de SQL para la realización de consultas e inserciones de datos básicas (Ej: SELECT, INSERT, UPDATE y DELETE). Por último, también deberás realizar todas las prácticas asociadas y contar con un deseo de aprender más acerca de esta poderosa herramienta de DataWarehousing.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Desarrolla conocimientos esenciales de servicios en la nube, en particular AWS, que son útiles para profesionales de TI y aprendices de ciencia de datos

Enseña los fundamentos de Data Warehousing, que son relevantes para los analistas de datos y los científicos de datos

Proporciona una base para los principiantes que buscan iniciarse en Amazon Redshift y el almacenamiento de datos

Requiere conocimientos previos de SQL y conceptos básicos de almacenamiento de datos, lo que puede ser una limitación para los principiantes absolutos

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 Amazon Redshift: Introducción al Almacenamiento de Datos with these activities:

Practice Basic SQL Queries

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Gain proficiency in fundamental SQL commands, such as SELECT, INSERT, UPDATE, and DELETE, to effectively interact with data in Amazon Redshift.

Browse courses on SQL

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Utilize an online SQL editor or a local database.
Practice writing queries to retrieve, insert, update, and delete data.
Create sample tables and practice manipulating data within them.

Explore Amazon Redshift Documentation

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Familiarize yourself with the official Amazon Redshift documentation to gain a deeper understanding of its features, capabilities, and best practices.

Browse courses on Amazon Redshift

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Visit the Amazon Redshift documentation website.
Review sections on cluster management, query optimization, and security.
Follow step-by-step tutorials to set up and use Amazon Redshift.

Design a Data Model for a Real-World Dataset

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Apply your knowledge of data warehousing and SQL to design a data model for a real-world dataset, mimicking a practical scenario you may encounter in the industry.

Browse courses on Data Modeling

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Identify a suitable dataset that aligns with your interests or industry.
Determine the business requirements and data needs for the dataset.
Create a conceptual data model using tools like ER diagrams.
Translate the conceptual model into a physical data model using SQL syntax.

Four other activities

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Complete Practice Problems on Amazon Redshift

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Engage in hands-on practice by solving real-world data analysis problems using Amazon Redshift, enhancing your problem-solving skills and reinforcing your understanding of the platform.

Browse courses on Amazon Redshift

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Find practice exercises or challenges online or in textbooks.
Utilize Amazon Redshift's query editor or a compatible tool.
Implement solutions to the practice problems using SQL.

Assist Fellow Learners in Course Forums

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Contribute to the learning community by providing support to fellow learners through course forums, fostering collaboration and deepening your own understanding of the material.

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Join the course discussion forums regularly.
Engage with other students and offer assistance on topics you are comfortable with.
Provide clear and helpful explanations.

Review Course Materials Regularly

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Enhance your understanding and retention of course content by regularly reviewing lecture notes, readings, and assignments to strengthen your grasp of key concepts and reinforce your learning.

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Set aside dedicated time for reviewing materials.
Summarize key points and concepts in your own words.
Identify areas where further clarification is needed and seek assistance.

Attend a Workshop on Advanced Amazon Redshift Techniques

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Deepen your knowledge and skills by attending a workshop specifically designed to cover advanced techniques in Amazon Redshift, exposing you to industry best practices and innovative approaches.

Browse courses on Amazon Redshift

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Research and identify relevant workshops in your area or online.
Register and attend the workshop.
Actively participate and take notes during the sessions.

Career center

Learners who complete Amazon Redshift: Introducción al Almacenamiento de Datos will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts use data to solve business problems and make informed decisions. This course could be a valuable addition to a Data Analyst's skillset, as it provides a foundation in data warehousing and Amazon Redshift. Data Analysts often use data warehousing technologies to store and analyze large datasets, and the skills learned in this course would be directly applicable to the role.

See salaries and explore the career path for Data Analyst

Data Engineer

A Data Engineer is responsible for building and maintaining the infrastructure that supports data analytics. This course may be useful, as it provides a foundation in the fundamentals of data warehousing and the Amazon Redshift service. Data Engineers use data warehousing technologies like Redshift to store and manage large datasets, and the skills learned in this course would be directly applicable to the role.

See salaries and explore the career path for Data Engineer

Business Analyst

Business Analysts use data to understand business needs and make recommendations. This course could be a valuable addition to a Business Analyst's skillset, as it provides a foundation in data warehousing and Amazon Redshift. Business Analysts often use data warehousing technologies to store and analyze large datasets, and the skills learned in this course would be directly applicable to the role.

See salaries and explore the career path for Business Analyst

Data Scientist

Data Scientists use data to build models and predict outcomes. This course may be useful, as it provides a foundation in the fundamentals of data warehousing and the Amazon Redshift service. Data Scientists often use data warehousing technologies like Redshift to store and manage large datasets, and the skills learned in this course would be directly applicable to the role.

See salaries and explore the career path for Data Scientist

Database Administrator

Database Administrators are responsible for the maintenance and performance of databases. This course could be a useful introduction to Amazon Redshift, a cloud-based data warehousing service. Database Administrators use data warehousing technologies like Redshift to store and manage large datasets, and the skills learned in this course would be directly applicable to the role.

See salaries and explore the career path for Database Administrator

Data Architect

Data Architects design and build data management solutions. This course could be a valuable addition to a Data Architect's skillset, as it provides a foundation in data warehousing and Amazon Redshift. Data Architects often use data warehousing technologies to store and manage large datasets, and the skills learned in this course would be directly applicable to the role.

See salaries and explore the career path for Data Architect

Data Warehouse Architect

Data Warehouse Architects design and build data warehouses. This course could be a valuable addition to a Data Warehouse Architect's skillset, as it provides a foundation in data warehousing and Amazon Redshift. Data Warehouse Architects often use data warehousing technologies to store and analyze large datasets, and the skills learned in this course would be directly applicable to the role.

See salaries and explore the career path for Data Warehouse Architect

Data Governance Analyst

Data Governance Analysts develop and implement data governance policies and procedures. This course may be useful, as it provides a foundation in the fundamentals of data warehousing and the Amazon Redshift service. Data Governance Analysts often use data warehousing technologies like Redshift to store and manage large datasets, and the skills learned in this course would be directly applicable to the role.

See salaries and explore the career path for Data Governance Analyst

BI Developer

BI Developers design and develop business intelligence solutions. This course could be a valuable addition to a BI Developer's skillset, as it provides a foundation in data warehousing and Amazon Redshift. BI Developers often use data warehousing technologies to store and analyze large datasets, and the skills learned in this course would be directly applicable to the role.

See salaries and explore the career path for BI Developer

Database Designer

Database Designers design and develop databases. This course may be useful, as it provides a foundation in the fundamentals of data warehousing and the Amazon Redshift service. Database Designers often use data warehousing technologies like Redshift to store and manage large datasets, and the skills learned in this course would be directly applicable to the role.

See salaries and explore the career path for Database Designer

Software Engineer

Software Engineers design, develop, and maintain software applications. This course may be useful, as it provides a foundation in the fundamentals of data warehousing and the Amazon Redshift service. Software Engineers often use data warehousing technologies like Redshift to store and manage large datasets, and the skills learned in this course would be directly applicable to the role.

See salaries and explore the career path for Software Engineer

Cloud Architect

Cloud Architects design and build cloud-based solutions. This course could be a valuable addition to a Cloud Architect's skillset, as it provides a foundation in the fundamentals of data warehousing and the Amazon Redshift service, a cloud-based data warehousing solution. Cloud Architects often use data warehousing technologies like Redshift to store and manage large datasets, and the skills learned in this course would be directly applicable to the role.

See salaries and explore the career path for Cloud Architect

Data Management Consultant

Data Management Consultants help organizations manage their data. This course could be a valuable addition to a Data Management Consultant's skillset, as it provides a foundation in data warehousing and Amazon Redshift. Data Management Consultants often use data warehousing technologies to store and analyze large datasets, and the skills learned in this course would be directly applicable to the role.

See salaries and explore the career path for Data Management Consultant

Data Quality Analyst

Data Quality Analysts ensure the accuracy and consistency of data. This course could be a valuable addition to a Data Quality Analyst's skillset, as it provides a foundation in data warehousing and Amazon Redshift. Data Quality Analysts often use data warehousing technologies to store and analyze large datasets, and the skills learned in this course would be directly applicable to the role.

See salaries and explore the career path for Data Quality Analyst

ETL Developer

ETL Developers design and develop data pipelines. This course could be a useful introduction to Amazon Redshift, a cloud-based data warehousing service. ETL Developers often use data warehousing technologies like Redshift to store and manage large datasets, and the skills learned in this course would be directly applicable to the role.

See salaries and explore the career path for ETL Developer