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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 get started with Dataplex using the command line by walking you through creating a lake, adding a zone, attaching and detaching assets, and deleting zones and lakes.

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Syllabus

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Taught by Google Cloud Training, who develops widely used Google Cloud products and services
Suitable for beginners who wish to gain foundational knowledge in Dataplex
Provides hands-on labs for practical application of concepts
Focuses on command-line operations, appealing to learners with technical backgrounds
Covers core Dataplex operations like creating lakes, adding zones, and attaching assets
Suited for individuals seeking an introduction to Dataplex for data management and analysis

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Reviews summary

Quick command-line dataplex start

According to students, this course provides a quick and practical introduction to Google Cloud Dataplex, primarily focusing on command-line operations. Learners find the hands-on lab format highly effective for understanding core concepts like creating lakes and managing zones. While it's lauded for being a great starting point and clarifying fundamental tasks, some caution that it offers a 'qwik start' level of depth, meaning it doesn't delve into advanced topics or complex scenarios. It's best suited for those seeking a rapid grasp of Dataplex CLI essentials.
Strictly focuses on CLI, which is both a strength and a limitation.
"If you're looking for GUI interactions, this isn't it; it's purely command-line driven."
"I needed to learn Dataplex via CLI, and this course directly addressed that need."
"The command-line focus is great for automation scripts but less intuitive for visual learners."
Delivers a rapid overview of Dataplex fundamentals for beginners.
"This course is ideal for a quick introduction to Dataplex and its core functionalities."
"It helped me get started very quickly, covering the basics without overwhelming detail."
"Perfect for understanding the initial setup and basic management of Dataplex via command line."
Excellent for direct application of Dataplex command-line tasks.
"The lab environment works well and provides a direct way to practice Dataplex commands."
"I appreciated the step-by-step instructions that allowed me to get hands-on with the Dataplex CLI."
"Executing commands directly in the Google Cloud console made the learning very concrete."
Some reported commands or lab steps might not align with current GCP updates.
"Occasionally encountered issues where lab instructions seemed slightly out of sync with the current GCP console."
"Had to do some troubleshooting as a few commands had changed since the lab was published."
"It would be beneficial if the lab were regularly updated to reflect the latest Dataplex CLI."
Provides basics, but lacks advanced topics or deeper conceptual explanations.
"The content is quite basic and doesn't cover complex use cases or best practices."
"Good for a first glance, but I wish there was more explanation on the 'why' behind the commands."
"Don't expect to become a Dataplex expert; it's purely a rapid intro to the command line."

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 Dataplex: Qwik Start - Command Line with these activities:
Lakes, Zones, and Assets
This project will help you build hands-on experience using Dataplex lakes, zones, and assets.
Browse courses on Dataplex
Show steps
  • Create a Dataplex lake and add a zone
  • Attach a bigquery dataset to the lake
  • Create a Dataplex zone in the lake
  • Detach the bigquery dataset from the lake
  • Delete the Dataplex zone and lake
Use command line commands to create a lake
Deepens understanding of how to create lakes and Zones in Dataplex using the command line, which is a common way to create lakes in a real-world coding environment.
Show steps
  • Open a terminal window and navigate to the folder where you want to create the lake.
  • Create a new lake using the `gcloud dataplex lakes create` command.
  • Specify the name, location, and other options for the lake.
Practice attaching and detaching assets to a Zone
Provides hands-on experience in attaching and detaching assets to Zones, reinforcing understanding of data organization and access control.
Browse courses on Assets
Show steps
  • Create a new Zone in a lake.
  • Attach an existing asset to the Zone.
  • Detach the asset from the Zone.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Dataplex Concepts
These exercises will help you solidify your understanding of key Dataplex concepts like lakes, zones, and assets.
Browse courses on Dataplex
Show steps
  • Define a Dataplex lake
  • Define a Dataplex zone
  • Define a Dataplex asset
Follow a tutorial on using Dataplex Zones
Enhances understanding of how to use Zones to partition data in a lake, ensuring efficient data management and improved query performance.
Browse courses on Zones
Show steps
  • Find a tutorial on using Dataplex Zones.
  • Follow the steps in the tutorial to create a new Zone.
  • Attach the Zone to an existing lake.
Practice deleting Zones and lakes
Reinforces understanding of how to manage and clean up Dataplex resources by providing hands-on practice in deleting Zones and lakes.
Browse courses on Zones
Show steps
  • Create a new Zone and lake.
  • Delete the Zone.
  • Delete the lake.
Create a diagram of a Dataplex lake architecture
Reinforces understanding of the components and relationships within a Dataplex lake architecture, solidifying knowledge of data organization and management.
Show steps
  • Research the different components of a Dataplex lake architecture.
  • Draw a diagram that shows the relationships between these components.
  • Label the different components and explain their functions.
Write a summary of the benefits of using Dataplex
Enhances understanding of the advantages and value proposition of Dataplex, encouraging students to reflect on its impact on data management and analytics.
Show steps
  • Research the benefits of using Dataplex.
  • Write a summary that highlights the key benefits.
  • Include examples of how Dataplex can be used to solve real-world data challenges.
Contribute to the Dataplex documentation
Extends understanding of Dataplex beyond the course material, encourages engagement with the broader community, and fosters a deeper understanding of the technology's capabilities.
Show steps
  • Find an area in the Dataplex documentation that you would like to improve.
  • Make a change to the documentation and submit a pull request.
  • Work with the Dataplex team to get your changes merged.

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