How to perform data analytics in the era of AI
This book is for data professionals, including data analysts, data engineers, data scientists, data warehouse developers, ETL developers, business analysts, AI/ML professionals, software developers, and Chief Data Officers !
Table of contents
- Overview of Microsoft Fabric and Understanding Its Different Concepts
- Understanding Different Workloads and Getting Started with Microsoft Fabric
- Building an End-to-End Analytics System - Lakehouse
- Building an End-to-End Analytics System - Data Warehouse
- Building an End-to-End Analytics System - Real-Time Analytics
- Building an End-to-End Analytics System - Data Science
- Monitoring Overview and Monitoring Different Workloads
- Administering Fabric
- Security and Governance Overview
I want to explore workloads such as Data Factory, Synapse Data Engineering, data science, data warehouse, real-time analytics, and Power BI. I want to learn how to build end-to-end lakehouse and data warehouse solutions using the medallion architecture, unlock the real-time analytics, and implement machine learning and AI models. All this content from a simple technical perspective !
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