In the rapidly evolving world of data and analytics, professionals face the challenge of navigating complex platforms in order to build more efficient solutions. Microsoft Fabric, hailed as Microsoft's "biggest data product in history after SQL Server," offers powerful capabilities but comes with a steep learning curve. The myriad of choices within Fabric can be overwhelming, with multiple ways to tackle tasks, not all of which are equally efficient. This book serves as a definitive roadmap to understanding Microsoft Fabric--and how to leverage it to suit your needs. Authors Nikola Ilic and Ben Weissman demystify the core concepts and components necessary to build, manage, and administer robust data solutions within this game-changing product. By reading this book, you will: Discover the core Microsoft Fabric components and understand key concepts and techniques for building a robust data platform Learn to apply Microsoft Fabric effectively in your day-to-day job Understand the concept of a lake-centric architecture Gain the skills to implement a scalable and efficient end-to-and analytics solution Manage and administer a Fabric tenant
Benjamin Weissman Book order
Benjamin Weissman is the author of two collections of short fiction that delve into the unusual and unsettling aspects of human experience. His prose often explores themes of identity, loneliness, and the search for meaning in a seemingly chaotic world. Weissman's style is characterized by its incisive observation and his ability to craft evocative imagery that resonates with readers. Through his works, Weissman offers a unique lens on the darker, yet captivating, facets of existence.


- 2025
- 2020
SQL Server Big Data Clusters
Data Virtualization, Data Lake, and AI Platform
- 280 pages
- 10 hours of reading
Explore the powerful capabilities of Big Data Clusters in SQL Server 2019, focusing on data virtualization and data lakes within an AI and machine learning framework. This guide teaches how to integrate large volumes of streaming data, such as real-time data from Apache Spark, with traditional database data. Learn to execute Transact-SQL queries to enhance your analysis by combining diverse data sources, enabling more robust insights and decision-making.