Seminarinhalt
Programm
- Introduction to data engineering on Azure
- Introduction to Azure Data Lake Storage Gen2
- Introduction to Azure Synapse Analytics
- Use Azure Synapse serverless SQL pool to queery files in a data lake
- Use Azure Synapse serverless SQL pools to transform data in a data lake
- Create a lake database in Azure Synapse Analytics
- Secure data and manage users in Azure Synapse serverless SQL pools
- Analyze data with Apache Spart in Azure Synapse Analytics
- Transform data with Spark in Azure Synapse Analytics
- Use Delta Lake in Azure Synapse Analytics
- Build a data pipeline in Azure Synapse Analytics
- Use Spark Notebooks in an Azure Synapse Pipeline
- Introduction to Azure Synapse Analytics
- Use Azure Synapse serverless SQL pool to query files in a data lake
- Analyze data in a relational data warehouse
- Load data into a relational data warehouse
- Manage and monitor data warehouse activities in Azure Synapse Analytics
- Secure a data warehouse in Azure Synapse Analytics
- Plan hybrid transactional and analytical processing using Azure Synapse Analytics
- Implement Azure Synapse Link with Azure Cosmos DB
- Implement Azure Synapse Link for SQL
- Get started with Azure Stream Analytics
- Ingest streaming data using Azure Stream Analytics and Azure Synapse
- Visalize real-time data with Azure Stream Analytics and Power BI
- Explore Azure Databricks
- Perform data analysis with Azure Databricks
- Use Apache Spark in Azure Databricks
- Manage data with Delta Lake
- Build data pipelines with Delta Live Tables
- Deploy workloads wiht Azure Databricks Workflows
Zielgruppen
Die sekundäre Zielgruppe für diesen Training umfasst Data Analyst*innen und wissenschaftliche Fachkräfte für Daten, die auf Microsoft Azure basierende Analyselösungen nutzen.
Sehr guter Überblick und Einstieg
Data Engineering on Microsoft Azure
09.11.2023Sehr guter Überblick und Einstieg
— Gerhard S.