Introduction to Data Modeling in Hadoop

Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level

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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