DP-203T00: Data Engineering on Microsoft Azure

Cui îi este dedicat cursul?

The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure.

Cunoștințe și abilități inițiale

Prezentarea cursului

In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage.

Ce subiecte abordează cursul

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 query 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

Analyze data with Apache Spark in Azure Synapse Analytics

Transform data with Spark in Azure Synapse Analytics

Use Delta Lake in Azure Synapse Analytics

Analyze data in a relational data warehouse

Load data into a relational data warehouse

Build a data pipeline in Azure Synapse Analytics

Use Spark Notebooks in an Azure Synapse Pipeline

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 Analytics

Visualize real-time data with Azure Stream Analytics and Power BI

Introduction to Microsoft Purview

Integrate Microsoft Purview and Azure Synapse Analytics

Explore Azure Databricks

Use Apache Spark in Azure Databricks

Run Azure Databricks Notebooks with Azure Data Factory

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 query 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

Analyze data with Apache Spark in Azure Synapse Analytics

Transform data with Spark in Azure Synapse Analytics

Use Delta Lake in Azure Synapse Analytics

Analyze data in a relational data warehouse

Load data into a relational data warehouse

Build a data pipeline in Azure Synapse Analytics

Use Spark Notebooks in an Azure Synapse Pipeline

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 Analytics

Visualize real-time data with Azure Stream Analytics and Power BI

Introduction to Microsoft Purview

Integrate Microsoft Purview and Azure Synapse Analytics

Explore Azure Databricks

Use Apache Spark in Azure Databricks

Run Azure Databricks Notebooks with Azure Data Factory

Ce abilități se dobândesc în urmă cursului

In this Microsoft Official Course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others.