Metadata Management Fundamentals (Udemy.com)
Back to Basics
Created by: Sid Inf
Last updated October 2019
What you will 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 Time Use Case 1: How to fetch Metadata from different Data Layers of an Enterprise Data Warehouse?
- Real Time 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?
How it compares
Against the other 388 rated Udemy courses in SQL on CourseDuck:
- Rating4.2 out of 5higher than 13% of them
- Reviews260#275 of 389 by number of reviews
- Length2.8 hoursshorter than 76% of them
- Last updatedOctober 2019earlier than 72% of them
Course 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, bringing 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 time 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 time 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.
Instructor Details
- 4.2 Rating
260 Reviews
Sid Inf
Business Intelligence Consultant and Trainer with 14+ years of extensive work experience on various client engagements. Delivered many large data warehousing projects and trained numerous professionals on business intelligence technologies. Extensively worked on all facets of data warehousing including requirement gathering, gap analysis, database design, data integration, data modeling, enterprise reporting, data analytics, data quality, data visualization, OLAP.
Has worked on broad range of business verticals and hold exceptional expertise on various ETL tools like Informatica Powercenter, SSIS, ODI and IDQ, Data Virtualization, DVO, MDM.
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Reviews
By Vadiraja Bhat on 8/31/2024
I have not come across any other resources or tutorials as good as this to understand the metadata concepts. The first 3 sessions talk about types of metadata and the rest talk about the real time use cases. This equips you with adequate knowledge to get started with implementation in your projects.
By Sandeep Ketkar on 10/17/2022
Good conceptual training however some metadata tool should have been covered at basic level.. some real examples of how data looks like when metadata tool is used, would have been helpful
By Christoph Michalek on 9/11/2022
I am very happy with this course. The instructor showed a lot of insights in meta data management, the speech was clear and well understandable to follow. I can recommend this course. Thanks for offering this topic at Udemy.
By Pankaj Dakhane on 6/2/2022
This course is a value for money. I am working in the same field. Sometimes things get too complex in my mind and I am unable to explain the basic concepts in simple terms. This is because of the complexities of the projects I deal with. However, this course has brought me down to the basics and I am enjoying it.
By Martin Petrov on 1/7/2022
The course has covered the basics I needed - understanding the fundamentals of metadata management, key concepts etc. Where it fell a bit short of expectation is particularly the area of metadata management tools - this was specifically mentioned during the course - that we will look into tools. That didn't happen. There are some small technical issues, some chapters seemed to repeat and two were in the wrong order (metadata sources - databases should have been before analytics), but this is minor.
By Hudzani Ramagwedzha on 6/20/2020
So i was part of a project that iplemented a Big data plaform using Informatica BDM. We loaded data into Hadoop (ETL1) and then into Teradata(ETL2) . I did not understand HOW and WHAT Informatica Metadata Management was going to fit into the picture until this course, so thank you.
By Suseen on 3/3/2020
There could be more practical examples. There is no information about the Metadata management tools. But the course does give a good introduction to the field of metadata.
By Thadikamala Shyla Kumar on 2/16/2020
expecting some standards tools available in the market, will be useful in managing the metadata. But the concepts were good and useful for managers and above to be aware of Metadata management
By Suhas Awasthi on 1/17/2020
Really good introductory course for metadata management. Please also try to include examples and usage of popular metadata tools.
By Rajkumar Asohan on 11/14/2019
Hi Sid, As a beginner, I found this course really helpful to understand the basic concepts. Thanks for your effort. Regards Rajkumar Asohan
Quality Score
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Overall Score : 84 / 100












