Metadata Management Fundamentals

[LeeAndro]

Last updated 10/2019MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.05 GB | Duration: 2h 48m

Back to Basics

What you'll learn
What is Metadata​

Learn about the importance of Metadata to an Enterprise
The Business Value of Metadata for an Enterprise
Types of Metadata
Real Use Case 1: How to fetch Metadata from different Data Layers of an Enterprise Data Warehouse
Real Use Case 2:How to fetch Metadata from different Data Layers of a Hybrid Enterprise Data Warehouse involving Big Data
How does the different data layers of an application connect via Metadata
What problems does the Metadata Management Solves
What business questions does the Metadata Management answer
What are Data Assets
What is Data Lineage
What is Data Stewardship
What are the different domains from which Metadata can be fetched and liked for trace-ability
How does Metadata Management relate to Data Management
Requirements
Data Warehouse Concepts
BigData Concepts
Data Management Concepts
Description
Let's get started with the basics of Metadata Management. Setting up the Metadata Management initiative at the enterprise level serves a variety of purposes. Data Asset discovery, effective cataloging, identifying resources, defining them by criteria, brig similar resources together and the most important of them all is to have a Self Service approach to the enterprise assets. It also is an effective means of organizing enterprise data assets, which is the need of the hour considering the huge variety and volumes of data and new ways of doing business online. Typically, all the metadata is stored in documents or excel sheets which are not usually up to date just for the namesake and these documents do not really have what one needs. A more efficient way is to use metadata to define, build lineage, relationships and create trace-ability so that the enterprise data citizens can easily find the data, the systems in which the data resides and the owners or stewards of the data. Investing in metadata management/development have a lot of benefits:Simplify data discovery and history of the data with a record of content-rich data across the enterprise. Most of the enterprises have to manage increasingly complex systems in various locations and on varied platforms. By managing metadata effectively, organizations can create an inventory of its data and learn about its transformation across the life cycle, along with the variety of meaning and formats, and locations of each data object.Drive consistency through data reuse, to increase productivity and reduce needed for project implementation. A managed metadata environment serves as the most effective way to identify the appropriate data elements / objects needed for any use. Metadata Management allows companies to retire unused storage, reducing costs, and reducing that was spent in deciding among "possibly correct" variations of an attribute.Retain staff knowledge that is lost when business rules, definitions and other forms of metadata are not documented. Often, business metadata remains only in the minds of certain employees. When these individuals leave the company, this knowledge disappears with them. Implementing an enterprise approach to managing metadata preserves this knowledge and reduces the risk of losing valuable contextual knowledge.Increase confidence in the data delivered to business users. Tracking data lineage provides important context to business users. Profiling data in source systems by business data stewards and IT staff can resolve data errors, which will result in accurate, reliable, high-quality data presented in reports, queries and analytics.Improve IT performance in development, impact analysis, data integration, change management, etc. All of these enhancements will enable greater cooperation between business and IT, and ultimately lower total costs of any systems initiative. Metadata helps IT understand what data exists, where it is located, and what it means, minimizing information complexity. The ability to assess the impact of potential changes based on improved knowledge of the data can help managers estimate project duration and resource costs more accurately.

Overview

Section 1: Introduction

Lecture 1 What is Metadata

Lecture 2 Common Metadata Examples from our day to day work/activities

Lecture 3 Why do we need to manage Metadata

Lecture 4 What questions does Metadata Management helps us to answer

Lecture 5 What are the common Questions specific to an attribute in a real project

Lecture 6 How does Metadata help with the Business Processes and Procedures

Lecture 7 How does Metadata help with the Regulations and compliance like GDPR and CCPA

Section 2: Types of Metadata

Lecture 8 Introduction to different types of Metadata

Lecture 9 Business Metadata

Lecture 10 Technical Metadata

Lecture 11 Difference between Technical Metadata and Business Metadata

Lecture 12 Operational Metadata

Lecture 13 Governance Metadata

Lecture 14 Summary of different types of Metadata

Lecture 15 Descriptive, Structural and Administrative Metadata Types

Section 3: Metadata Origins in an Enterprise

Lecture 16 Where does Metadata exists in the Organization

Section 4: Real Use Case : Using Enterprise Data Warehouse Applications

Lecture 17 The Architecture

Lecture 18 What is happening now at an Enterprise level

Lecture 19 What are the common questions we get on a daily basis

Lecture 20 Metadata Repository is the answer

Lecture 21 How do we access the Metadata Repository Tool

Lecture 22 Self Service Metadata Management

Lecture 23 Data Lineage/ Data Traceability

Lecture 24 Relationships within Metadata

Lecture 25 Enterprise View of Metadata

Section 5: Real Use Case : How to fetch Metadata from BigData Tools and Technologies

Lecture 26 The Hybrid BigData Warehouse Architecture

Lecture 27 Where to start the Metadata Ingestion

Lecture 28 Metadata from the Source Layer

Lecture 29 Metadata from JSON format

Lecture 30 Metadata from Relational tools and technologies

Lecture 31 Metadata from HDFS Layer

Lecture 32 Metadata from EDW/Data Marts/Hive/Analytics Layer

Lecture 33 Metadata from Analytics/Reporting Layer

Lecture 34 Metadata from Data Science and Transformation Logic

Lecture 35 How does all the Metadata tie up

All roles which involves and works with data on a daily basis from a Developer to the CDO or a CIO

HomePage:

Https://anonymz.com/https://www.udemy.com/course/metadata-management-fundamentals/

DOWNLOAD

https://1dl.net/rt8yirsxztu4/rvdlI1Tz__Metadata_M.part1.rar.html
https://1dl.net/jtjrbvx50mz6/rvdlI1Tz__Metadata_M.part2.rar.html