Azure Data Engineering

Introduction to Azure Data Engineering

Gain a fundamental understanding of Azure Data Engineering, its significance, and its applications across various industries. Explore the Azure data ecosystem, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and more. Understand the role of Azure Data Engineering in ingesting, processing, and analyzing data at scale in the cloud.

Getting Started with Azure Data Factory

Learn the basics of Azure Data Factory, starting with creating pipelines to move and transform data. Understand data integration techniques and best practices for orchestrating complex data workflows in the cloud. Hands-on exercises will involve designing and deploying data pipelines using Azure Data Factory.

Data Processing with Azure Databricks

Explore Azure Databricks for big data processing and analytics. Learn how to provision and configure Databricks clusters, and leverage Apache Spark for data processing tasks. Understand best practices for data engineering and machine learning workloads in Azure Databricks.

Building Data Warehouses with Azure Synapse Analytics

Dive into Azure Synapse Analytics for building modern data warehouses. Understand how to provision and manage Synapse SQL pools and integrate with other Azure services for data ingestion and analytics. Hands-on exercises will involve designing and optimizing data warehouse solutions in Azure Synapse Analytics.

Streamlining Data Ingestion with Azure Data Lake Storage

Learn how to leverage Azure Data Lake Storage for scalable data ingestion and storage. Understand data lake architecture and best practices for organizing and managing data in Azure Data Lake Storage Gen2. Explore integration with Azure services for real-time analytics and processing.

Optimizing Data Pipelines for Performance and Cost

Explore techniques for optimizing data pipelines in Azure for performance and cost efficiency. Understand concepts such as data partitioning, compression, and parallel processing. Learn how to use Azure Cost Management to monitor and optimize data engineering workloads.

Data Governance and Security in Azure

Learn about data governance and security best practices in Azure. Understand how to implement access controls, encryption, and compliance standards to protect sensitive data. Explore Azure Security Center and Azure Policy for managing security and compliance across Azure services.

Monitoring and Troubleshooting Azure Data Solutions

Gain insights into monitoring and troubleshooting Azure data solutions. Learn how to use Azure Monitor and Azure Log Analytics to monitor data pipelines and identify performance bottlenecks. Understand best practices for troubleshooting common issues in Azure data engineering workflows.

Scalable Data Analytics with Azure Cosmos DB

Explore Azure Cosmos DB for building globally distributed, multi-model databases. Learn how to provision and manage Cosmos DB containers for scalable data storage and querying. Understand best practices for designing Cosmos DB databases for high availability and performance.

Real-Time Data Processing with Azure Event Hubs

Dive into Azure Event Hubs for real-time data streaming and processing. Learn how to ingest and process streaming data at scale using Event Hubs and Azure Functions. Explore integration with Azure Stream Analytics for real-time analytics and insights.

Building Data Pipelines with Azure Logic Apps

Learn how to automate data workflows with Azure Logic Apps. Explore connectors for integrating with various data sources and services. Hands-on exercises will involve designing and deploying data pipelines using Azure Logic Apps.

Advanced Data Engineering Techniques in Azure

Dive deeper into advanced data engineering techniques in Azure. Explore topics such as data orchestration, data transformation, and data integration patterns. Hands-on exercises will involve implementing advanced data engineering solutions using Azure services.

Real-World Azure Data Engineering Projects

Apply all the knowledge and skills gained throughout the course by working on real-world Azure data engineering projects. Collaborate with peers on group projects to simulate real-world team dynamics and project management. Examples of projects include building data pipelines, designing data warehouses, and implementing real-time analytics solutions.

Azure Data Engineering Certification Preparation

Prepare for Azure Data Engineering certification exams, such as the Microsoft Certified: Azure Data Engineer Associate. This section covers the exam objectives, study resources, and tips for success. Gain the confidence and knowledge needed to pass the certification exams and advance your career in Azure data engineering.

Big Data Processing with HDInsight

Explore Azure HDInsight for big data processing and analytics using open-source frameworks such as Hadoop, Spark, and HBase. Learn how to provision and manage HDInsight clusters, and integrate with other Azure services for data processing and storage.

Data Orchestration with Azure Data Factory

Dive deeper into Azure Data Factory for orchestrating complex data workflows. Learn about control flow activities, data flow activities, and scheduling options for automating data pipelines.

Real-Time Analytics with Azure Stream Analytics

Learn how to perform real-time analytics on streaming data using Azure Stream Analytics. Explore windowing functions, temporal queries, and integration with Azure services for real-time insights and alerts.

Data Integration with Azure Data Integration

Discover Azure Data Integration for integrating data across disparate sources and formats. Learn how to use data integration services such as Azure Data Share, Azure Data Catalog, and Azure Data Factory to achieve seamless data integration.

Data Lake Analytics with Azure Data Lake Analytics

Explore Azure Data Lake Analytics for running big data analytics jobs on data stored in Azure Data Lake Storage. Learn how to write and execute U-SQL queries for scalable data processing and analytics.

Data Visualization with Power BI and Azure

Learn how to visualize and explore data stored in Azure services using Power BI. Understand best practices for connecting Power BI to Azure data sources, designing interactive reports and dashboards, and sharing insights with stakeholders.

Data Engineering Best Practices in Azure

Gain insights into best practices for designing, implementing, and managing data engineering solutions in Azure. Learn about architectural patterns, performance optimization techniques, and cost management strategies for Azure data engineering projects.