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Azure Data

Azure Data Services provides a comprehensive set of solutions for managing and analyzing data in the cloud. Azure offers various data storage options, including Azure Blob Storage, Azure Data Lake Storage, and Azure SQL Database. These services enable organizations to store, process, and analyze large amounts of data in a scalable and secure manner. Azure Data Services also includes advanced analytics capabilities, such as Azure Synapse Analytics and Azure Machine Learning. By leveraging Azure Data Services, organizations can gain valuable insights from their data and drive business decisions.

  • 4 weeks
  • 40 lessons
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Azure Data fundamentals

  • Data Storage Options: Understanding Azure data storage services, such as Azure Blob Storage, Azure Data Lake Storage, and Azure SQL Database.
  • Data Analytics: Introduction to Azure analytics services, including Azure Synapse Analytics and Azure Databricks.
  •  Data Security and Compliance: Understanding data security features, such as encryption, access controls, and compliance with regulatory requirements.
  •  Data Ingestion and Processing: Overview of data ingestion and processing services, including Azure Data Factory and Azure Stream Analytics.
  •  Data Visualization: Introduction to data visualization tools, such as Power BI.

Querying Data with Transact

  •  SELECT statements: Retrieving data from tables using SELECT statements, including filtering, sorting, and aggregating data.
  • JOINs: Combining data from multiple tables using INNER JOINs, LEFT JOINs, RIGHT JOINs, and FULL OUTER JOINs.
  •  Subqueries: Using subqueries to retrieve data based on conditions specified in a separate query.
  •  Aggregate functions: Using aggregate functions, such as SUM, AVG, and COUNT, to perform calculations on groups of data.
  •  Data manipulation: Using INSERT, UPDATE, and DELETE statements to modify data in tables.

Data Engineering on Azure

  •  Data Ingestion: Collecting data from various sources using Azure Data Factory, Azure Event Hubs, or Azure IoT Hub.
  •  Data Processing: Processing data using Azure Databricks, Azure Synapse Analytics, or Azure Stream Analytics.
  •  Data Storage: Storing data in Azure Storage services, such as Azure Blob Storage, Azure Data Lake Storage, or Azure Cosmos DB.
  •  Data Integration: Integrating data from multiple sources using Azure Data Factory or Azure Synapse Analytics.
  •  Data Quality and Governance: Ensuring data quality, security, and compliance using Azure Purview and other data governance tools.