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In the field of data architecture and engineering, the Medallion Architecture stands out as a robust framework designed to handle complex data processing tasks efficiently.
We will cover the steps for creating Azure Databricks workspace and configure a Spark cluster. Later we will create a simple data table from an existing CSV file and query the data using SQL notebook.
Explore secure network access in Azure Databricks to Azure Data Lake Storage. Learn setup, RBAC, and secure coding with practical examples.
Learn how Databricks Delta Sharing securely shares live Delta Lake data across cloud platforms, including providers, recipients, authentication, governance, and scalability.
Learn how Azure Databricks supports scalable data engineering with Apache Spark, ETL and ELT pipelines, data transformation, streaming, and Azure data storage.
Learn how to connect Azure Databricks to Azure SQL Database using pyodbc, JDBC, PySpark, and Azure AD service principal authentication, with security recommendations.
Learn how to set up a free Databricks Community Edition account, create a Spark cluster, load CSV data, and perform CRUD operations with Delta tables.
Everything on Databricks, not only its articles: the Databricks page →
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