Enabling Data Source Discovery with Azure Data Catalog faq

learnersLearners: 52
instructor Instructor: / instructor-icon
duration Duration: 4.00 duration-icon

Azure Data Catalog enables data producers and consumers to easily discover, organize, and understand data assets. It provides a crowdsourced model of metadata and annotation, allowing users to quickly find the data they need in a collaborative and culturally aware environment.

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Edx

certificateCertificate:

No Information

languageLanguage:

English

start dateStart Date:

1st Jul, 2018

Course Overview

❗The content presented here is sourced directly from Edx platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

This course provides an overview of Azure Data Catalog and its capabilities. Participants will learn how to adopt and create a Data Catalog, register data sources, discover and annotate assets, and define a Business Glossary. Additionally, participants will gain an understanding of how to administer and secure the catalog to get the most from and help protect existing information assets. By the end of the course, participants will have a better understanding of how Azure Data Catalog delivers a server-less metadata repository that can empower their organization to get more value from its existing data sources.

[Applications]
After completing this course, participants can apply their knowledge of Azure Data Catalog to enable data source discovery in their organization. They can use the cloud-based service to register data sources, discover and annotate assets, and define a Business Glossary. Additionally, they can use the service to administer and secure the catalog to get the most from—and help protect—existing information assets.

[Career Paths]
1. Data Scientist: Data Scientists are responsible for analyzing and interpreting data to identify trends and patterns, and then using this information to develop strategies and solutions. They use a variety of tools and techniques, such as machine learning, predictive analytics, and natural language processing, to uncover insights from data. Data Scientists are in high demand as organizations increasingly rely on data-driven decision making.

2. Business Intelligence Analyst: Business Intelligence Analysts are responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use a variety of tools and techniques, such as data mining, data visualization, and predictive analytics, to uncover insights from data. Business Intelligence Analysts are in high demand as organizations increasingly rely on data-driven decision making.

3. Data Engineer: Data Engineers are responsible for designing, building, and maintaining data systems and pipelines. They use a variety of tools and techniques, such as ETL (Extract, Transform, Load) processes, data warehousing, and data lakes, to ensure data is stored, organized, and accessible. Data Engineers are in high demand as organizations increasingly rely on data-driven decision making.

4. Data Architect: Data Architects are responsible for designing and implementing data architectures that enable organizations to store, manage, and analyze data. They use a variety of tools and techniques, such as data modeling, data warehousing, and data lakes, to ensure data is stored, organized, and accessible. Data Architects are in high demand as organizations increasingly rely on data-driven decision making.

[Education Paths]
1. Bachelor's Degree in Computer Science: A Bachelor's Degree in Computer Science is a great way to gain the skills and knowledge needed to work with Azure Data Catalog. This degree program will provide students with a comprehensive understanding of computer science fundamentals, including programming, software engineering, data structures, algorithms, and more. Additionally, students will learn about the latest trends in cloud computing, data science, and artificial intelligence, which are all essential for working with Azure Data Catalog.

2. Master's Degree in Data Science: A Master's Degree in Data Science is an ideal choice for those looking to specialize in working with Azure Data Catalog. This degree program will provide students with a deep understanding of data science principles, including data mining, machine learning, and predictive analytics. Additionally, students will learn about the latest trends in cloud computing, data engineering, and artificial intelligence, which are all essential for working with Azure Data Catalog.

3. Master's Degree in Business Intelligence: A Master's Degree in Business Intelligence is a great way to gain the skills and knowledge needed to work with Azure Data Catalog. This degree program will provide students with a comprehensive understanding of business intelligence fundamentals, including data warehousing, data visualization, and data analytics. Additionally, students will learn about the latest trends in cloud computing, data engineering, and artificial intelligence, which are all essential for working with Azure Data Catalog.

4. Doctoral Degree in Artificial Intelligence: A Doctoral Degree in Artificial Intelligence is an ideal choice for those looking to specialize in working with Azure Data Catalog. This degree program will provide students with a deep understanding of artificial intelligence principles, including natural language processing, computer vision, and deep learning. Additionally, students will learn about the latest trends in cloud computing, data engineering, and data science, which are all essential for working with Azure Data Catalog.

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Quiz

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1. What is Azure Data Catalog used for?

2. What is the main purpose of Azure Data Catalog?

3. What is the main benefit of Azure Data Catalog?

4. Azure Data Catalog helps data producers and data consumers to _________.

Correct Answer: discover

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