Introduction to Data Modeling in Hadoop
Introduction to Data Modeling in Hadoop Overview/Description Target Audience Prerequisites Expected Duration Lesson Objectives Course Number Expertise Level Overview/Description
This course covers various data genres and management tools, the reasons behind the evolving plethora of new big data platforms from the perspective of big data management systems, and analytical tools.
Target Audience
Individuals who are new to big data, Hadoop, and data modeling, and wish to understand key concepts and features of Hadoop and its tools
Prerequisites
None
Expected Duration (hours)
1.1
Lesson Objectives Introduction to Data Modeling in Hadoop
start the course
define data management
recognize important data modeling concepts in Hadoop
identify important issues for storing data in Hadoop
recognize important considerations when designing HDFS schema
recognize important points when designing HDFS schema
identify basic concepts of data movement in Hadoop
list important factors that need to be considered for importing data into Hadoop
identify tools and methods for moving data into Hadoop
recognize characteristics of a data stream
define how data lakes enable batch processing
define data security management and its major domains
define Kerberos
define basics of authentication in Hadoop using Kerberos
identify central issues in processing and management of big data
identify important points in Hadoop data modeling
Course Number: df_dmhp_a02_it_enus
Expertise Level
Beginner
