Managing Big Data Operations

Managing Big Data Operations

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

Overview/Description
This course covers the types of challenges being faced day to day by rethinking data systems from the ground up. This course also covers in-depth topics such as monitoring tools, orchestrations, and performance modeling.

Target Audience
Project managers, Business Intelligence or ETL developers, data architects, data analysts and big data enthusiasts interested in a higher comprehension of big data; some knowledge of big data or data science, data warehouse, ETL, or any of the applications/software used in the industry today would be ideal

Prerequisites
None

Expected Duration (hours)
0.7

Lesson Objectives

Managing Big Data Operations

start the course

describe big data and where it's heading today

recognize the trends and the various industries that are exposed to big data operations

identify the technologies and advancements in big data

describe the process of monitoring big data repositories and predictive modeling

recognize the various big data KPIs and how each can be used

describe the various performance issues and how to solve them using data monitoring

recognize big data network monitoring operations and its importance

list the various software and applications that can be used to provide big data orchestrations

recognize the operations that integrate big data

recognize the various processes of automating ETL jobs

describe big data trends and characteristics

Course Number:
df_bdop_a01_it_enus

Expertise Level
Intermediate