Pluralsightintermediateen

XSLT 2.0 and 1.0 Foundations

Learn XSLT: process XML data efficiently. Master pattern matching for data transformation and problem-solving. Ideal for working with hierarchical data.

3.4(232)
8h 45m
Certificate
Dimitre Novatchev
Dimitre NovatchevInstructor

Course Content

XSLT 2.0 and 1.0 Foundations is an intermediate-level Pluralsight course taught by Dimitre Novatchev. It runs 8h 45m, is taught in English, and includes a certificate of completion. Learners rate it 3.4 out of 5 from 232 reviews. It is a paid course, first published June 2024.

Unleash the Power of XSLT: Master XML Transformation

This course dives deep into XSLT, the standard language developed by the W3C Consortium for transforming XML documents and handling hierarchical data. Whether you're a beginner or looking to enhance your skills, you'll gain a comprehensive understanding of XSLT 1.0 and XSLT 2.0.

Explore the core features of XSLT and discover how it leverages a powerful pattern-matching philosophy to provide a modern approach to data manipulation. We go beyond the basics, showcasing real-world practical applications through engaging demos.

What you'll learn:

  • XSLT Fundamentals: A thorough exploration of the language's core concepts.
  • XSLT 1.0 & 2.0: Understand the differences and capabilities of both versions.
  • XML Document Processing: Learn to effectively process and transform XML data.
  • Pattern Matching: Master XSLT's powerful pattern-matching capabilities for flexible transformations.
  • Practical Applications: See XSLT in action with real-world demos and use cases.
  • Declarative Programming: Discover how XSLT's declarative nature simplifies complex transformations.

Why XSLT?

XSLT is more than just a language; it's a gateway to enhanced data understanding and powerful problem-solving. It's a powerful, higher-level, declarative language that unlocks new possibilities in data manipulation and integration. Become proficient in XSLT and gain a valuable skill for modern software development and data processing.

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