Free Download Data Mapping ApproachPublished 7/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 162.99 MB | Duration: 0h 43m
Preparation of data mapping based on data analysis
What you'll learn
Define the connection between two systems implementing data Integration or Migration project
Identify roles needed for Data Mapping
Describe Transformation of data implementing Integration or Migration project
Define data Inconsistencies between two systems
Define the roles and responsibilities in IT project
Requirements
Ability to analyze data
Ability to use tool for data transformation (SQL statement),
Ability to design and build data models
Description
This course is based on long-term practice and project diversity. The main advantage of the methodology is that it does not require long-term learning. It only requires understanding the logical concept and attempting to apply it in your ongoing projects.The provided methodology can be applied to processes such as data migration, integration, warehousing, report creation, or analytics. The main goal of the methodology is to facilitate collaboration among different roles involved in the data mapping process and to outline the steps that should be followed to achieve high-quality results. The main goal of the methodology is to facilitate collaboration among different roles involved in the data mapping process and to outline the steps that should be followed to achieve high-quality results. Data mapping also helps identify any inconsistencies or incompatibilities in the data, which may require additional resolutions before using the data. This can significantly impact the progress of the project and its technical and logical decisions.Many specialists encounter various problems when executing data mapping processes. This happens because there is not always enough information gathered for data harmonization, and it is not always possible to systematically process the collected information. Timely trained specialists have the opportunity to work systematically and understand the actions required of them and how subsequent steps depend on them.I wish you success in your studies!
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Basis of data mapping
Lecture 2 Peculiarities of the methodology
Lecture 3 Relevant audience
Lecture 4 Needed skills
Lecture 5 Importance of Data Mapping
Lecture 6 Concepts used for data mapping
Lecture 7 Practical task
Section 3: Data mapping process
Lecture 8 Roles and responsibilities
Lecture 9 Stages of data mapping
Lecture 10 Practical task
Section 4: Working template
Lecture 11 Practical task
Lecture 12 Purpose of working template
Lecture 13 Header
Lecture 14 Filling sequence
Lecture 15 Sections and steps
Lecture 16 Mandatory fields
Lecture 17 Responsibilities
Lecture 18 Data mapping rules
Lecture 19 Filling process
Lecture 20 Practical task
Section 5: Data quality
Lecture 21 Data structure analysis
Lecture 22 Data quality assurance
Lecture 23 Data quality assessment
Lecture 24 Practical task
Section 6: Conclusions and recommendations
Lecture 25 Conclusions and recommendations
Business analysts,Data analysts,Data architects,Developers,QA analysts,Project managers
Homepage
https://www.udemy.com/course/data-mapping-approach/
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