Seminarinhalt
Erfahren Sie, wie Sie die Leistungsfähigkeit von Apache Spark und leistungsstarke Cluster auf Basis der Azure Databricks-Plattform nutzen können, um große Data-Engineering-Workloads in der Cloud zu bewältigen.
Programm
Explore Azure Databricks
- Get started with Azure Databricks
- Identify Azure Databricks workloads
- Understand key concepts
- Data governance using Unity Catalog and Microsoft Purview
- Ingest data with Azure Databricks
- Data exploration tools in Azure Databricks
- Data analysis using DataFrame APIs
- Get started with Delta Lake
- Manage ACID transactions
- Implement schema enforcement
- Data versioning and time travel in Delta Lake
- Data integrity with Delta Lake
- Explore Delta Live Tables
- Data ingestion and integration
- What are Azure Databricks Workflows?
- Understand key components of Azure Databricks Workflows
- Explore the benefits of Azure Databricks Workflows
- Deploy workloads using Azure Databricks Workflows
Zielgruppen
- Fortgeschrittene Anfänger
- Datentechniker