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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. This lab shows you how to assess data quality using Dataplex.
Register for this course and see more details by visiting:
OpenCourser.com/course/qkae90/assessing
What's inside
Syllabus
Assessing Data Quality with Dataplex
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops professional skills or deep expertise in a particular topic or set of topics
Teaches skills, knowledge, and/or tools that are highly relevant to industry
Develops x and y, which are core skills for z
Examines x, which is highly relevant to y
Taught by x, who are recognized for their work in x
If this course is explicitly requires learners to come in with extensive background knowledge first
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Assessing Data Quality with Dataplex with these
activities:
Review Data Quality Concepts
Show steps
Review core concepts of data quality to establish foundational knowledge for course topics.
Browse courses on
Data Quality
Show steps
-
Read articles or blog posts on data quality best practices
-
Attend a webinar or online workshop on data quality fundamentals
Help Others with Dataplex Queries
Show steps
Share your knowledge and help others understand Dataplex and data quality concepts.
Show steps
-
Join online forums or discussion groups
-
Answer questions and provide guidance to fellow learners
Explore Dataplex Hands-On Labs
Show steps
Complete hands-on tutorials to gain practical experience with Dataplex features.
Show steps
-
Follow Google Cloud's official Dataplex Quickstart tutorial
-
Experiment with different data quality rules and transformations in Dataplex
Four other activities
Expand to see all activities and additional details
Show all seven activities
Attend Dataplex User Group Meetings
Show steps
Connect with industry experts and share knowledge about Dataplex and data quality best practices.
Show steps
-
Find local or online user group meetings
-
Participate in discussions and ask questions
Enroll in Dataplex Certification Workshop
Show steps
Enhance your skills and validate your knowledge through a structured workshop and certification program.
Show steps
-
Register for Google Cloud's Dataplex Certification Workshop
-
Attend live sessions and complete hands-on exercises
Analyze Data Quality Metrics
Show steps
Practice assessing data quality using Dataplex metrics and tools.
Show steps
-
Run data lineage analysis to identify data sources and transformations
-
Create and customize data quality dashboards to monitor metrics
Develop a Data Quality Improvement Plan
Show steps
Create a comprehensive plan to improve data quality within your organization.
Show steps
-
Identify data quality issues and root causes
-
Propose solutions and establish data governance policies
-
Develop a timeline and budget for implementation
Review Data Quality Concepts
Show steps
Review core concepts of data quality to establish foundational knowledge for course topics.
Browse courses on
Data Quality
Show steps
Show steps
Show steps
- Read articles or blog posts on data quality best practices
- Attend a webinar or online workshop on data quality fundamentals
Help Others with Dataplex Queries
Show steps
Share your knowledge and help others understand Dataplex and data quality concepts.
Show steps
Show steps
Show steps
- Join online forums or discussion groups
- Answer questions and provide guidance to fellow learners
Explore Dataplex Hands-On Labs
Show steps
Complete hands-on tutorials to gain practical experience with Dataplex features.
Show steps
Show steps
Show steps
- Follow Google Cloud's official Dataplex Quickstart tutorial
- Experiment with different data quality rules and transformations in Dataplex
Four other activities
Expand to see all activities and additional details
Show all seven activities
Attend Dataplex User Group Meetings
Show steps
Connect with industry experts and share knowledge about Dataplex and data quality best practices.
Show steps
Show steps
Show steps
- Find local or online user group meetings
- Participate in discussions and ask questions
Enroll in Dataplex Certification Workshop
Show steps
Enhance your skills and validate your knowledge through a structured workshop and certification program.
Show steps
Show steps
Show steps
- Register for Google Cloud's Dataplex Certification Workshop
- Attend live sessions and complete hands-on exercises
Analyze Data Quality Metrics
Show steps
Practice assessing data quality using Dataplex metrics and tools.
Show steps
Show steps
Show steps
- Run data lineage analysis to identify data sources and transformations
- Create and customize data quality dashboards to monitor metrics
Develop a Data Quality Improvement Plan
Show steps
Create a comprehensive plan to improve data quality within your organization.
Show steps
Show steps
Show steps
- Identify data quality issues and root causes
- Propose solutions and establish data governance policies
- Develop a timeline and budget for implementation
Career center
Learners who complete Assessing Data Quality with Dataplex will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/qkae90/assessing
Reading list
We haven't picked any books for this reading list yet.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/qkae90/assessing
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Effort
90 minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Session
August 26, 2024
- September 9, 2024
Language
English
Good to know
Develops professional skills or deep expertise in a particular topic or set of topics
Teaches skills, knowledge, and/or tools that are highly relevant to industry
Develops x and y, which are core skills for z
Examines x, which is highly relevant to y
Taught by x, who are recognized for their work in x
If this course is explicitly requires learners to come in with extensive background knowledge first
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