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MICROSOFT AZURA DATA (10 in one): Master Azure Data Services All-In-One: Comprehensive Guide to Databases, Analytics, Integration, Big Data, Ai, and R

by Ethan Decodes
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Original price ₹1,776.00
Original price ₹1,776.00
₹1,776.00
Current price ₹1,776.00

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Book cover type: Paperback
  • ISBN13: 9798241456311
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 180
  • Original Price: USD 16.99
  • Language: English
  • Edition: N/A
  • Item Weight: 214 grams
  • BISAC Subject(s): Artificial Intelligence / Expert Systems

This book, Microsoft Azure Data (10 in One), provides a comprehensive exploration of the core Microsoft Azure data services that form the backbone of modern cloud-based data management, analytics, and intelligence solutions. As we reflect on the content in late December 2025, the Azure data ecosystem has reached a mature and innovative stage, characterized by seamless interoperability among services, deep AI integration, and a clear strategic direction toward unification through Microsoft Fabric. The ten services examined-Azure SQL Database, Azure Cosmos DB, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage Gen2, Power BI integration, and the real-time duo of Azure Stream Analytics and Event Hubs-collectively enable organizations to build scalable, secure, and intelligent data platforms capable of handling diverse workloads from transactional processing to real-time streaming and advanced machine learning.
The structure of the book mirrors the end-to-end data lifecycle: starting with foundational relational and NoSQL databases, moving through integration and orchestration, storage and big data processing, visualization, and concluding with real-time capabilities. This "10 in one" approach highlights not only the individual strengths of each service but also their synergistic potential when combined, allowing readers to architect holistic solutions without unnecessary fragmentation.

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