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 to know Spark
- Create a Spark cluster
- Use Spark in notebooks
- Use Spark to work with data files
- Visualize data
- Introduction
- Get started with Delta Lake
- Create Delta tables
- Implement schema enforcement
- Data versioning and time travel in Delta Lake
- Data integrity with Delta Lake
- Introduction
- Explore Lakeflow Declarative Pipelines
- Data ingestion and integration
- Real-time processing
- Introduction
- What are Lakeflow Jobs?
- Understand key components of Lakeflow Jobs
- Explore the benefits of Lakeflow Jobs
- Deploy workloads using Lakeflow Jobs
Zielgruppen
- Fortgeschrittene Anfänger
- Datentechniker
