In today's data-driven landscape, "Microsoft Fabric Data Engineering" provides an essential guide to leveraging Microsoft Fabric for seamless integration of data engineering and machine learning workflows.
Microsoft Fabric offers a unified platform that bridges the gap between data management and machine learning, enabling efficient data pipelines and advanced analytics. This book explores how Fabric's components—such as Azure Synapse Analytics, Data Factory, and integrated ML environments—work together to streamline the entire data lifecycle from ingestion to intelligent insights.
Key Features:
Unified Workflows: Learn to build end-to-end data pipelines that seamlessly integrate data processing with machine learning.
Fabric Components: Gain insights into Azure Synapse Analytics, Data Lake Storage, and Data Factory, and how they support robust data engineering practices.
Practical Applications: Explore real-world scenarios showcasing the power of Microsoft Fabric in various industries.
Step-by-Step Guidance: Follow tutorials on setting up data pipelines, preparing data, and integrating ML models within Fabric.
Advanced Analytics: Discover how Fabric supports automated model training, deployment, and MLOps.
Collaboration and Scalability: Understand how Fabric enhances collaboration between data engineers and data scientists, and scales to meet organizational demands.
Audience:
Data Engineers and Architects looking to integrate ML into data workflows.
Data Scientists wanting to collaborate more effectively using Fabric.
IT Professionals and Technical Managers aiming to implement scalable data solutions.
Students and Academics interested in cutting-edge data engineering and ML integration.
"Microsoft Fabric Data Engineering" equips readers with the knowledge to harness Microsoft Fabric for innovative, data-driven solutions. Ideal for professionals and students alike, this book offers practical insights to position your organization at the forefront of data technology.
