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Assessing Data Quality with Dataplex

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.

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What's inside

Syllabus

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Reviews summary

Practical dataplex data quality lab

According to students, this course offers a highly practical and structured introduction to assessing data quality using Dataplex within the Google Cloud console. Learners frequently highlight the clear, step-by-step instructions and the hands-on lab experience as major strengths, making the learning process smooth and easy to apply concepts. While it provides a solid foundation for data professionals, some students suggest it may be too basic for advanced users seeking deeper insights or extensive troubleshooting techniques. The self-paced format is widely appreciated for its flexibility. Overall, it's a very useful and relevant course for understanding Dataplex's core data quality capabilities.

Requires basic familiarity with Google Cloud console navigation.

"It does assume a foundational understanding of Google Cloud console navigation, which is a fair prerequisite for a topic like this."

Serves as a strong introduction to Dataplex's core features.

"A solid introduction to Dataplex's data quality features."

"It's good for absolute beginners to the service."

"I found it very useful for understanding the core capabilities and how to set up data quality rules."

The lab instructions are clear, easy to follow, and well-organized.

"The instructions were incredibly clear and easy to follow, making the learning process smooth."

"The lab steps were well-structured and functional."

"It's very practical and well-structured, with step-by-step guidance on setting up and running data quality scans."

Provides valuable hands-on experience with Dataplex.

"This is an excellent hands-on lab for anyone looking to understand Dataplex for data quality checks."

"I felt very confident applying these concepts to my own GCP projects afterwards."

"I gained a good practical overview of Dataplex data quality, and the lab environment worked smoothly."

Some minor discrepancies between the lab and current UI were noted.

"Some UI elements have shifted since this lab was created, causing minor navigation confusion."

May be too basic for those seeking advanced techniques.

"Felt a bit basic for someone with existing GCP knowledge. I was hoping for more advanced techniques or deeper insights."

"I would have appreciated a bit more context on advanced data quality rule patterns or integration with other services."

"If you already have some experience with Dataplex, this might just be a refresher."

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

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Review core concepts of data quality to establish foundational knowledge for course topics.

Browse courses on Data Quality

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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

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Share your knowledge and help others understand Dataplex and data quality concepts.

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Join online forums or discussion groups
Answer questions and provide guidance to fellow learners

Explore Dataplex Hands-On Labs

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Complete hands-on tutorials to gain practical experience with Dataplex features.

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Follow Google Cloud's official Dataplex Quickstart tutorial
Experiment with different data quality rules and transformations in Dataplex

Four other activities

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Attend Dataplex User Group Meetings

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Connect with industry experts and share knowledge about Dataplex and data quality best practices.

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Find local or online user group meetings
Participate in discussions and ask questions

Enroll in Dataplex Certification Workshop

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Enhance your skills and validate your knowledge through a structured workshop and certification program.

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Register for Google Cloud's Dataplex Certification Workshop
Attend live sessions and complete hands-on exercises

Analyze Data Quality Metrics

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Practice assessing data quality using Dataplex metrics and tools.

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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

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Create a comprehensive plan to improve data quality within your organization.

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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:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Assessing Data Quality with Dataplex.

DAMA-DMBOK

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This is widely considered the authoritative guide to data management, with data governance at its core. It provides a comprehensive framework, standard definitions, and best practices for various data management functions. It is an essential reference tool for anyone serious about the field and is often used as a foundational text in academic and professional settings.

Assessing Data Quality with Dataplex

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What's inside

Syllabus

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Reviews summary

Practical dataplex data quality lab

Activities

Career center

Reading list

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