Databases: Semistructured Data offered by Stanford University
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Databases: Semistructured Data at Stanford University Overview
Databases: Semistructured Data
at Stanford University
Empower students to handle the growing volume and diversity of data that doesn't conform to traditional database schemas
Mode of learning | Online |
Official Website | Go to Website  |
Course Level | UG Certificate |
Databases: Semistructured Data at Stanford University Highlights
Databases: Semistructured Data
at Stanford University
- Earn a certificate from Stanford University
- Learn from industry experts
Databases: Semistructured Data at Stanford University Course details
Databases: Semistructured Data
at Stanford University
Skills you will learn
Who should do this course?
- For individuals who want to enhance their knowledge & skills in the field
What are the course deliverables?
- The XML Data section of this course introduces the XML model for semistructured and self-describing data, including DTDs and some features of XML Schema
- The JSON Data section of this course introduces the JSON model for human-readable structured or semistructured data
- The XPath and XQuery section of this course covers the XPath language for processing XML data, along with many features of the more advanced XQuery language
- The XSLT section of this course provides a general introduction to the XSLT rule-based language for querying and transforming XML data
More about this course
- This course is one of five self-paced courses on the topic of Databases, originating as one of Stanford's three inaugural massive open online courses released in the fall of 2011
- The original "Databases" courses are now all available on edx.org. Part of the Databases series, this is a standalone course; learners seeking to develop an understanding of topics in this course do not need to take other Databases courses
- This course covers the JSON and XML standards for semistructured data, along with query languages and schema declaration features for XML
Databases: Semistructured Data at Stanford University Curriculum
Databases: Semistructured Data
at Stanford University
Database Design
Relational Databases
Referential Integrity
Data Abstraction
Persistence
Reliability
Concurrency Controls
Query Languages
Authorization (Computing)
Database Systems
Databases: Semistructured Data at Stanford University Entry Requirements
Databases: Semistructured Data
at Stanford University
Eligibility criteria
- Education: Graduate
Conditional Offer
- Not mentioned
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Databases: Semistructured Data
at Stanford University