Xtend26 Pre-Con Sessions
Hands-on, tips & tricks to boost your data game
Date
09:00–17:00
Location
Price per session
(includes lunch & refreshments)
Available Sessions
All sessions are interactive and led by expert instructors, with plenty of time for networking over structured breaks and meals.
Whether you’re a customer or a partner, everyone is welcome to join and learn together.
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What You’ll Gain
Refresh Core Skills: Revisit key architectural concepts and development methodologies across the TimeXtender Data Platform.
Hands-On Practice: Apply new features and best practices through real-world exercises.
Practical Recommendations: Receive guidance to implement improvements in your own data environment.
Maintain Certification: Successfully complete the course to renew your official TimeXtender certification.
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Session Plan
Welcome & Overview: Recertification objectives, platform updates, and new capabilities.
Platform Enhancements: Deep dive into key feature updates and advanced workflows.
Hands-On Exercises: Apply new techniques through practical scenarios.
Q&A & Knowledge Sharing: Tips, best practices, and exam preparation.
Recertification Exam: Earn a refreshed certification badge, valid for three years.
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Who Should Attend
Certified TimeXtender developers and data engineers ready to refresh skills. Users looking to apply updated best practices across the platform. Professionals who want to ensure their AI-ready data foundation is optimized and current.
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What You'll Gain
Learn to combine data enrichment and data quality techniques for reliable, context-rich datasets.
Apply practical methods to identify and resolve inconsistencies in your data pipelines.
Build repeatable workflows that strengthen data integrity and improve reporting trust.
Gain hands-on experience to improve AI-ready data quality across your organization.
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Session Plan
Introduction & Objectives: Why enrichment and quality matter together.
Data Enrichment Techniques: Apply context to raw data for business-ready outputs.
Data Quality Validation: Implement rules and checks to prevent errors.
Hands-On Exercises: Combine enrichment and quality in repeatable workflows.
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Who Should Attend
Data engineers, analytics engineers, BI professionals, and data platform owners. Users seeking to improve data reliability, consistency, and trust in downstream analytics. Professionals aiming to strengthen AI-ready data foundations through applied techniques.
Xtend 2026 | May 20, Circuit Zandvoort
Join our community day for product updates, workshops, networking, trends & more!
