Azure Data Factory Introduction Part - 4

Description: Unlock the full potential of Microsoft Azure as a data engineer! In this comprehensive video, we’ll guide you step-by-step through the key concepts, tools, and best practices needed to excel in Azure Data Engineering. Whether you’re a beginner or looking to sharpen your skills, this video covers everything from foundational concepts to advanced techniques.

Here’s what you’ll learn:

Introduction to Azure Data Engineering: Understand the role of a data engineer and the growing importance of cloud platforms like Azure.

Azure Data Lake & Storage Accounts: Learn how to set up and manage scalable, cost-effective storage solutions for structured and unstructured data.

Data Ingestion with Azure Data Factory: Discover how to create pipelines for automating data workflows and integrating data from various sources.

Transforming Data with Azure Databricks & Spark: Dive deep into data processing, manipulation, and transformation using Databricks and Apache Spark on Azure.

Building Modern Data Warehouses: Explore the architecture and key components of an Azure-based data warehouse using Azure Synapse Analytics.

Data Governance with Azure Purview: Ensure data security and compliance with the latest tools for data governance, metadata management, and lineage tracking.

Real-time Data Streaming: Get hands-on with Azure Stream Analytics and Event Hubs to process real-time data streams.

Machine Learning & Advanced Analytics: Learn how to leverage Azure Machine Learning and other AI tools to derive insights from big data.