Dec 5, 2024, 3:40 pm @Collaboration & No-Code

Unlock Data engineering with Azure services

Data engineering is essential for modern solutions, yet many organizations struggle with data silos, poor quality, real-time processing, scalability, and security. Address these issues early by leveraging Azure services throughout your data engineering lifecycle. You can enhance data integration, quality, scalability, and security with Azure Data Factory, Synapse Analytics, Databricks, and more. After this session, you will learn: 1. How to break down data silos with Azure Data Factory and Synapse Analytics 2. Best practices for maintaining data quality with Data Factory, Databricks, and Purview 3. Techniques for real-time data processing with Event Hubs and Stream Analytics 4. Strategies for scaling data infrastructure with Kubernetes and Data Lake Storage 5. Approaches to securing data with Security Center, Active Directory, and Policy