Kranio ContentTecnología y Resultados

Stories, findings and experiences in real projects with information technology clients.

Consultoría Tecnológica en LATAM: DevOps, FinOps y Desarrollo Ágil

Recents

Otras historias

From Good to Excellent in DDD: Understanding Entities and Value Objects in Domain-Driven Design - 2/10

#kranio#EFY

Discover how Entities and Value Objects in Domain-Driven Design help model clear and robust systems, aligned with business needs. Learn to differentiate them to improve the quality and maintainability of your code.


Calebe Santos

November 29, 2024

Reusable Components with Tailwind CSS and CSS: Comparison and Practical Uses

#kranio#EFY

Learn how to create reusable components using Tailwind CSS and traditional CSS. Compare both approaches and learn best practices for optimizing your web development with practical examples in React and Next.js.

Karla Cabañas

November 27, 2024

From Good to Great in DDD: Elevate Code Quality with Domain-Driven Design - 1/10

#kranio#EFY

Discover how Domain-Oriented Design (DDD) can help you develop software that is more resilient and aligned with business needs. Learn the key concepts and how to apply them to your projects.

Calebe Santos

November 25, 2024

SAS Code Optimization and Performance: Use Cases and Best Practices for Development

#kranio#EFY

Learn how to improve the efficiency and performance of your SAS code through best practices and real use cases. Learn to structure your code, use macros, manage errors and optimize performance in data analysis projects.

Daniel Tavera

November 21, 2024

Part 2: Data Transformation in ETL for Machine Learning

#kranio#EFY

Learn how to optimize data transformation in the ETL process. Learn about data cleaning, normalization, feature engineering and advanced techniques with Pandas, for Machine Learning analysis and modeling.

Jackeline Gómez

November 8, 2024

Introduction to the ETL Process in Machine Learning

#kranio#EFY

Discover how the ETL (Extraction, Transformation and Load) process is essential in Machine Learning to prepare clean and structured data, improving the accuracy of your predictive models.

Jackeline Gómez

October 11, 2024

Webinars

De miles de reclamos de clientes a un mejor servicio

Analiza un gran dataset, entiende el sentimiento y mejora tu servicio al cliente

Leo Camilo

May 14, 2020

Como predecir y reducir la fuga de clientes

Adquirir y perder un cliente es hasta 5x más caro que mantenerlo. En tan solo 1 hora, verás cómo usar los datos que ya tienes y aplicar machine learning para crear un modelo de prevención de fuga de clientes.

Leo Camilo

April 22, 2021

Automatiza flujos de Datos entre Legados y Cloud

Construye integraciones de bajo costo, paso a paso.

Team Kranio

June 4, 2020