Data Engineer

DATB-DIUC : Data Interoperability with Unity Catalog

Course Duration

4 Hours

Delivery

ILT/VILT

Overview

Overview Course Curriculum Training Schedule Exam & Certification FAQs

This course explores how to achieve seamless data interoperability between systems using Databricks Unity Catalog as a unified governance layer, using both Delta and Iceberg open table formats. Participants will learn to implement, manage, and optimize a data environment where tables can be accessed by both Delta and Iceberg clients, enabling cross-platform analytics and eliminating data silos.

What You'll Learn

Implement, manage, and optimise a data environment where tables can be accessed by both Delta and Iceberg clients.
Achieve seamless data interoperability between systems using Unity Catalog as a unified governance layer.
Enable cross-platform analytics and eliminate data silos by using open table formats

Who Should Attend

Data engineers, analytics engineers or platform specialists responsible for enabling consistent access, sharing and integration of data assets across teams and workspaces using Unity Catalog.
Professionals working with cross-workspace, multi-team or multi-cloud data environments who need to enforce object lineage, access controls and federated data-models via Unity Catalog.
Individuals tasked with standardising governance, metadata, and storage locations so that data can be shared, queried and analysed seamlessly across environments.
Practitioners familiar with SQL, cloud-object storage, the Databricks workspace and Delta Lake who are ready to deepen their platform-specific skills in data-interoperability and catalog management.
Teams evolving from siloed workspaces to a governed, unified lakehouse architecture—aiming to foster collaboration, reuse and governed data workflows across the organisation.

Prerequisites

Basic understanding of the Lakehouse architecture
Basic familiarity with the Medallion architecture
Knowledge of UC fundamentals for governance
Familiarity with the design or development of ETL pipelines using Databricks
Basic SQL for querying and transforming data

Learning Journey

Coming Soon...

Introduction to Data Interoperability
Working with Managed Tables in Unity Catalog
Use Cases for Data Interoperability
Best Practices for Interoperability

Frequently Asked Questions (FAQs)

None

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