Introduction to the Art & Science of Data Management
- Created By raju2006
- Last Updated December 26th, 2023
- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
Description:
The Introduction to the Art & Science of Data Management course will expose you to the data practices that allow you to get the most value from your data. Good data management is necessary to find the delicate balance between data enablement and data security and privacy.
Long Description:
Explore Data Management with 'Introduction to the Art & Science of Data Management' Training. Covering the data management lifecycle and industry best practices, this course is based on DAMA.org's DMBOK, enriched with global data management experiences. Learn to apply metadata, build business glossaries, manage reference data, and use data-cleaning tools. Interactive activities reinforce learning. Elevate your data practices - enroll today
Course Code/Duration:
BDT36 / 1 Day
Learning Objectives:
After this course, you will be able to:
- Learn the fundamental principles that guide effective data management.
- Clarify the scope and limitations of data management within organizations.
- Gain a comprehensive understanding of standard terms and definitions in data management, including roles and deliverables.
- Help data stewards and professionals comprehend their vital roles and responsibilities in data management.
- Learn how to assess the effectiveness and maturity of data management practices.
- Understand the diverse range and types of metadata that enhance data utility and value.
- Identify and implement best practices for identifying, managing, and sharing reference data.
- Apply data cleansing and standardization techniques to enhance overall data quality.
- Experience as a data manager or provider is useful.
- Business user
- Business user
Course Outline:
- Course Introduction
- Reference to DMBOK (Data Management Book of Knowledge) and DAMA.org
- Data management lifecycle and key roles in the data management world
- Data management organization and role expectations
- Introduction to core data management area and concepts
- Data management maturity assessment overview
- Data Security and data handling overview
- Understand how data management relates to Big Data and Data Science
- Metadata management overview & application
- Reference and data overview & application
- Data quality overview & application
- Exercise 1 – Role play for a typical Data Management team
- Exercise 2 – Exploration of tools for data cleansing and exploration of data
- Exercise 3 – Craft business-centered data definitions
- References, certification information, and next steps
Structured Activity/Exercises/Case Studies:
- Exercise 1 – Role play for a typical Data Management team
- Exercise 2 – Exploration of tools for data cleansing and exploration of data
- Exercise 3 – Craft business-centered data definitions
Training material provided:
Yes (Digital format)
