Course Name
Data Management
Schedule
March 07, 2026 - March 28, 2026
Schedule via Zoom:
March 7, 14, 21 & 28, 2026
Saturdays
9:00 am - 12:30 pm
Early Eagle Rate:
Php 11,000
Valid Until:
February 24, 2026
Description
Data Management takes an applied approach to full data lifecycle; from collection, storage, and organization to analysis and modeling. The course examines how effective end-to-end data management supports organizations that view data as a core business asset, emphasizing best practices in governance, security, and compliance. Participants will develop practical skills using data management tools and techniques, preparing them to address real-world challenges in data-driven environments.
Who should attend
- The Core Data Group (Practitioners & Students)
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Data Engineers, Analysts, and Scientists: Those who directly design, build, and analyze data systems.
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Students: Pursuing degrees in Computer Science, IT, Information Systems, and quantitative fields.
- Professionals Who Govern Data (Governance & Compliance)
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Data Stewards and Data Owners: The primary audience responsible for defining and enforcing data quality and policy.
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Compliance and Risk Officers: Need to ensure adherence to data regulations (e.g., GDPR, HIPAA).
- Business & IT Leadership (Strategy & Decision-Making)
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IT Managers and Directors: Overseeing data infrastructure and strategy.
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Project Managers and Business Intelligence (BI) Analysts: Individuals who rely on trustworthy data for projects and decision-making.
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Department Heads (e.g., Marketing, Finance): Need to ensure the data used for reporting and planning is accurate and reliable.
- Career Shifters & Upskillers (Domain Specialists)
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Current IT Professionals: Developers, System Admins looking to specialize in database or cloud data services.
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Non-IT Professionals: Business Analysts, Finance professionals, and Marketing specialists seeking to leverage data literacy for process improvement.
By the end of this course, learners will be able to:
1. Understand and explain core concepts of data management in terms of technical and business perspective.
2. Design and implement data models and management strategies that support organizational goals and decision-making.
3. Evaluate and apply data governance, quality, and security principles in managing enterprise data assets.
1. Introduction to Data Management
2. Data Modeling and Database Design
3. Data Governance, Quality, and Security
4. Data Storage, Integration, and Architecture
5. Data Management Tools and Emerging Trends
Mr. Niño Danielle D. Escueta is a seasoned technology leader and educator with over six years of experience in product, project, business, systems, and data management. He has built a strong track record in driving digital transformation through strategic innovation, combining technical expertise with practical business insight. He is also a Certified Business Analysis Professional (CBAP).
He currently serves as Business Solutions Specialist and People Manager at Novare Technologies, Inc., where he leads a team of analysts in delivering enterprise-level solutions. He is also deployed with Sun Life of Canada (Philippines) as a Business Analyst for Cloud Migration and Business Process Analyst for Helpdesk Operations, contributing to the company’s digital modernization and operational efficiency initiatives.
Mr. Escueta holds a Master of Technology Management from the University of the Philippines, Diliman. He also teaches part-time at the Ateneo de Manila University and the Polytechnic University of the Philippines, Sta. Mesa, where he is dedicated to mentoring and developing future leaders in technology and innovation.
