Jose M. Aquino
IT Senior Consultant, Data Engineer
Consultor Senior, Big Data Engineer
Santo Domingo, Dominican Republic
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Dynamic, skilled IT Specialist with 20+ years experience and proven success in managing multiple projects for the telecom, retail and banking industries. Proven leadership capabilities, providing workable strategies for maximum effectiveness.
Technical expertise as a Data Engineer, Database Administrator and IT Consultant.
Profesional de Sistemas y Tecnología de la información con más de 20 años de experiencia, Máster en Business Intelligence & Big Data, Emprendedor, Facilitador y Consultor Senior.
Area of Expertise
Topics
Integrating RStudio and SQL Server for Data Analysis
In this session, José M. Aquino demonstrates how to integrate RStudio with SQL Server to connect, query, and visualize data. Learn how to extract and analyze tables directly from SQL Server using R, transform data efficiently, and create insightful charts with ggplot2 to support smarter, data-driven decisions.
Integrating RStudio and Oracle for Data Analysis
In this session, Jose M. Aquino demonstrates how to integrate RStudio with Oracle to connect, query, and visualize data.
Learn how to extract and analyze tables directly from SQL Server using R, transform data efficiently, and create insightful charts with ggplot2 to support smarter, data-driven decisions.
From Data to Intelligence: Understanding Big Data, AI, and the Modern Information Cycle
From Data to Intelligence: Understanding Big Data, AI, and the Modern Information Cycle
Description:
In this insightful presentation, Jose M. Aquino, an expert in Big Data and Data Science, explores the evolution of information—from static records to dynamic digital ecosystems. Attendees will gain a clear understanding of how data flows, transforms, and powers today’s intelligent systems.
The session covers the fundamentals of Big Data, including the 5 Vs (Volume, Velocity, Variety, Veracity, and Value), and explains the ETL process (Extract, Transform, Load) that fuels data-driven decision-making.
Participants will also discover how Machine Learning and Artificial Intelligence convert raw data into actionable knowledge, with a special comparison between ChatGPT and DeepSeek, two prominent AI models that illustrate the current landscape of AI innovation.
The talk concludes with a reflection on the data cycle—how organizations can harness continuous data flows to drive insight, efficiency, and innovation.
In this presentation, we will discuss the following topics:
1. Intro: From Static to Digital Information
2. Big Data: The Vs and the ETL Process
3. About (Extract, Transform, Load)
4. Machine Learning and AI: From Data to Knowledge
5. Comparison: ChatGPT vs. DeepSeek
6. Conclusion: The Data Cycle
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