4408151: C15 Data Management

Beschreibung

Short description
The course covers the complete modern data management cycle, with a focus on collecting data from diverse sources and preparing it to enable data-driven applications. Students will learn how to handle various data formats, assess and eventually improve data quality, and store as well as process data using SQL, NoSQL, and Hadoop technologies. The course will also look into the basics of mining (big) data sets.

Topics

• Modern data management requirements
• Database system architecture
• Diagnosing and handling data quality problems
• Relational databases (SQL)
• Concurrency control techniques
• NoSQL databases (e.g., MongoDB)
• Apache Hadoop (HDFS, MapReduce)

Ziele

• Students will acquire and understand foundational concepts and methods of modern data management
• Students will study the preparation of data in order enable data-driven applications
• Students will select and apply appropriate technologies for building data-driven applications

Lehrmethoden

• The module integrates theoretical knowledge and practical skills in an interactive lecture.
• Selected sessions will also require preparation of the participants through videos that will be provided in advance.
• The e-learning platform Moodle will be used throughout the course for the dissemination of course material and discussions.

Voraussetzungen (inhaltlich)

• Recommended previous knowledgeModule “Process and Data Management”

Literatur

• Elmasri, R., & Navathe, S.B. (2016). Fundamentals of Database Systems, 7th edition. New York: Pearson Education.