Basic Data Management – A Comprehensive Overview eLearning

A walkthrough of enterprise data management, covering the knowledge and key terms you need to understand how data is managed throughout its life cycle.

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Standard Delivery: 5.5 hours of instruction

Education Credits:
3 PDUs

$25 (USD)*

Group (3+): $25 USD*
GSA: $18.25 USD*

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Overview

Embark on a comprehensive journey through the data life cycle, from inception to expiration, and gain invaluable insights into the critical management priorities at each stage. This course empowers you to develop a deep understanding of how to strategically handle data as a vital asset, with a special focus on data management practices that directly support AI and machine learning applications. By mastering the cradle-to-grave approach to data management, you'll be equipped with the knowledge and skills necessary to optimize your organization's data processes, unlocking the full potential of your data-driven initiatives and propelling your AI and machine-learning projects to new heights.

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Course outline

Part 1: Understanding what data management is and why it is an important asset

Why we need data management
Who and what is impacted by data
Data as an organizational asset

Part 2: Understanding strategic data priorities

Prioritize data assets
What’s at stake if we fail to properly manage data?
How data relates to AI

Part 3: Data Strategy

Seven goals
Guiding Principles

Part 4: Overview of the Data Lifecycle

Phases of the lifecycle
Data Framework

Part 5: Where Data Management Fits

Manage for planning
Planning key questions
Collect key data and questions
Developing a quality insurance plan

Part 6: Manage Across the Lifecycle

What is data architecture?
What is data governance?
Core data stewardship concepts
Data security and privacy

Part 7: Final Assessment

Audience / prerequisites

This Basic Data Management self-paced course will be invaluable for:

Data strategy owners
Data managers
Data engineers
Artificial intelligence stakeholders
Database administrators
Digital transformation leaders
Data integrators

In this class you will learn how to

Understand why data is such an important asset
Review who and what is impacted by data
Why data management facilitates a culture of better data-driven decisions
Examine the data lifecycle and each of its phases
Learn how to manage data based on the phases of its lifecycle
Understand data management priorities that transcend individual phases of its lifecycle
Collect. Prepare, store, use, and manage data so it’s well-suited to AI ad machine learning applications
Learn why a data management strategy depends on mission objectives