Managing a Data Mesh with Dataplex
Overview
Dataplex is an intelligent data fabric that enables organizations to centrally discover, manage, monitor, and govern their data across data lakes, data warehouses, and data marts. You can use Dataplex to build a data mesh architecture to decentralize data ownership among domain data owners. In this course, you will learn how to discover, manage, monitor, and govern your data across data lakes, data warehouses, and data marts through guided lectures and independent exercises using sample data.
What You'll Learn
- Identify the importance of a modern data platform
- Configure and set up Dataplex
- Secure data lakes, zones, and assets
- Implement tagging for resources and use tags to search for assets
- Process data using Dataplex tasks
- Design, execute and report on data quality processes
Who Should Attend
Customers
Prerequisites
Completion of the "Modernizing Data Lakes and Data Warehouses with Google Cloud" and "Building Batch Data Pipelines on Google Cloud" courses in the "Data Engineer" learning path or equivalent experience using Google Cloud.
Products Covered
Course Modules
Introduction to Dataplex
Topics
- Modern Data Platforms and Data-Oriented Design
- Pillars of Data Governance
- What is Dataplex?
- Dataplex Capabilities
- Dataplex compared with other products on Google Cloud
Learning Outcomes
- Identify the importance of a modern data platform
- Explain the role of Dataplex on Google Cloud
Creating a Data Mesh on Dataplex
Topics
- What is a data mesh?
- Dataplex concepts
- Creating data lakes and zones
- Assets in Dataplex
Learning Outcomes
- Define key Dataplex concepts
- Configure and set up Dataplex
Activities
Processing Data on Dataplex
Topics
- Processing data on Dataplex
- Data preparation tasks
- Ingestion jobs
- Dataflow and Spark tasks
Learning Outcomes
- Understand different data processing options in Dataplex
- Configure and run data preparation tasks on Dataplex
Activities
Managing Data Security through Dataplex
Topics
- IAM permissions and roles
- Securing your data lake
- Policy management
- Metadata security
Learning Outcomes
- Secure data lakes, zones, and assets in Dataplex
Activities
Data Tagging and Data Catalog
Topics
- Introduction to Data Catalog
- Technical metadata vs. business metadata
- Tags and tag templates
- Entries and entry groups
- Data lineage
Learning Outcomes
- Implement tagging for resources and use tags to search for assets
Activities
Data Quality and Profiling
Topics
- Data quality tasks and AutoDQ
- Reporting on data quality
- Data profiling
Learning Outcomes
- Design, execute and report on data quality processes
Activities
Dataplex Best Practices
Topics
- Best practices
- End-to-end demo
Learning Outcomes
- Implement best practices for Dataplex
Activities
What's Not Covered
- This course does not cover the interaction of Dataplex with Dataproc Metastore nor does it do a deep dive into BigLake concepts
Get This Training
No public classes currently scheduled. Express interest below or request private training.
Course Details
- Course Code
- T-MDMDP-I
- Duration
- 2 days
- Format
- ILT
- Level
- Intermediate
- Modules
- 7
- Activities
- 6
- Price
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