Implement data engineering solutions using Azure Databricks | DP-750 | DP750
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Implement data engineering solutions using Azure Databricks | DP-750 | DP750
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Description
Implement data engineering solutions using Azure Databricks | DP-750 | DP750
Design and deliver scalable data pipelines using Azure Databricks and the lakehouse architecture.
This course moves from foundational setup to production deployment, covering environment configuration and enterprise-grade governance. Learn to build robust ingestion pipelines, implement security with Unity Catalog, and deploy optimized workloads. By the end, you will have the practical skills to implement, secure, and maintain scalable lakehouse solutions that meet rigorous enterprise requirements.
Voor wie
The target audience is data engineers who have fundamental knowledge of data analytics concepts, a basic un…
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Implement data engineering solutions using Azure Databricks | DP-750 | DP750
Design and deliver scalable data pipelines using Azure Databricks and the lakehouse architecture.
This course moves from foundational setup to production deployment, covering environment configuration and enterprise-grade governance. Learn to build robust ingestion pipelines, implement security with Unity Catalog, and deploy optimized workloads. By the end, you will have the practical skills to implement, secure, and maintain scalable lakehouse solutions that meet rigorous enterprise requirements.
Voor wie
The target audience is data engineers who have fundamental knowledge of data analytics concepts, a basic understanding of cloud storage, and familiarity with data organization principles. They should be comfortable working with SQL and have experience using Python, including notebooks, for data engineering tasks. Learners are expected to have a good understanding of Azure Databricks workspaces and Unity Catalog, along with familiarity with data access patterns and core data engineering and data warehouse concepts. In addition, they should have foundational knowledge of Azure security, including Microsoft Entra ID, and be familiar with Git version control fundamentals.
Inhoud
– Configure and manage Azure Databricks environments, including
workspaces, clusters, and compute resources.
– Ingest, transform, and model data using SQL and Python to support
analytics and downstream workloads.
– Build, deploy, and maintain scalable data pipelines using Azure
Databricks and lakehouse patterns.
– Apply data governance and security best practices using Unity
Catalog for access control, governance, and data quality.
– Integrate Azure Databricks with core Azure services, including
Azure Storage, Azure Data Factory, Azure Monitor, Microsoft Entra
ID, and Azure Key Vault.
– Troubleshoot, monitor, and optimize Databricks workloads to
ensure reliable, production‑ready data engineering solutions.
Exclusief examen
DP-750 | Implementing Data Engineering Solutions Using Azure Databricks
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Duur
4 dagen
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