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学生对 EDUCBA 提供的 Build A Data Warehouse in Azure 的评价和反馈

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55 个评分

课程概述

Unlock the power of Azure Synapse Analytics with our comprehensive course designed to elevate your data warehousing skills. Across twelve modules, participants delve into foundational concepts, advanced techniques, and practical applications, equipping them with the expertise needed to excel in modern data-driven environments. Learning Outcomes: 1) Understand data warehousing fundamentals and design principles. 2) Master Azure Synapse Analytics features and capabilities. 3) Learn to provision workspaces, integrate data, and optimize performance. 4) Ensure security and compliance in data management processes. 5) Explore advanced analytics with Apache Spark and data visualization with Power BI. Benefits for learners: Completing this course empowers participants to efficiently manage data, optimize workflows, and derive meaningful insights using Azure Synapse Analytics. By gaining expertise in Azure's cutting-edge data platform, learners become invaluable assets to organizations seeking to leverage data for strategic decision-making and competitive advantage. What Makes This Course Unique: This course stands out for its comprehensive coverage of Azure Synapse Analytics, encompassing both foundational concepts and advanced techniques. Participants benefit from hands-on experience, real-world examples, and expert guidance, ensuring they acquire practical skills that can be immediately applied in professional settings. Join us on a journey to master data warehousing in Azure and unlock new possibilities for success in the data-driven world. Target Learner: 1) Data Engineers or Database Administrators seeking to expand their skills in designing, implementing, and managing data warehouses specifically in the Azure cloud environment. 2) Business Intelligence Developers or Analysts aiming to understand how to leverage Azure services to build scalable and efficient data warehouses for advanced analytics and reporting. 3) IT professionals or decision-makers responsible for architecting data solutions within their organizations, interested in utilizing Azure's data warehousing capabilities to improve data management, accessibility, and insights. Pre-requisites: 1) Basic Understanding of Data Concepts: Learners should have a fundamental understanding of data concepts such as databases, data modeling, and data manipulation. 2) Familiarity with Azure Platform: Prior experience or knowledge of Microsoft Azure platform services, such as Azure SQL Database, Azure Data Factory, and Azure Storage, would be beneficial. 3) SQL Proficiency: A solid understanding of SQL (Structured Query Language) is essential, as SQL is commonly used for querying and manipulating data in Azure data services....

热门审阅

AP

Feb 11, 2025

Amazing experience! The course structure helped me learn and understand the course material. it was very interesting.

HC

Mar 16, 2025

zure offers scalable, efficient, and integrated tools to build powerful data warehouses easily.

筛选依据：

1 - Build A Data Warehouse in Azure 的 25 个评论（共 53 个）

创建者 Drew M

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Feb 14, 2025

This course is a joke. I completed modules 1, 2, and half of module 3. Not once was there any demonstration in Azure itself, nor were there any hands-on exercises. It's all just PowerPoint slides. I even skipped around other modules to see if they eventually get into the meat of developing a data warehouse in Azure. Nope. This was a huge waste of my time.

创建者 Amit P

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Feb 12, 2025

Amazing experience! The course structure helped me learn and understand the course material. it was very interesting.

创建者 Hiran C

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Mar 17, 2025

zure offers scalable, efficient, and integrated tools to build powerful data warehouses easily.

创建者 Paiyaz B

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Mar 13, 2025

Efficiently create scalable, secure data warehouses in Azure for seamless data management.

创建者 Sahil M

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Mar 21, 2025

Efficiently organizes, stores, and analyzes data in Azure for scalable business insights.

创建者 Pari M

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Mar 31, 2025

Azure simplifies data warehouse creation with scalable, efficient, and secure solutions.

创建者 Ira C

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Apr 2, 2025

Efficient, scalable solution for data integration, storage, and analytics in Azure.

创建者 Rajashree p

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Mar 3, 2025

Efficient, scalable, and secure solution for centralized data management in Azure.

创建者 Aayush L

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Apr 3, 2025

Comprehensive, clear guide to efficiently building robust Azure data warehouses.

创建者 Jivika S

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Mar 10, 2025

Efficient, scalable solution for centralized data storage and analysis in Azure.

创建者 Zara R

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Mar 29, 2025

Efficient, scalable, and secure solution for centralized data storage in Azure.

创建者 Nitya M

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Mar 7, 2025

Comprehensive guide for efficiently building scalable data warehouses in Azure.

创建者 Darshit c

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Jun 29, 2025

Comprehensive, practical guide for building Azure data warehouses efficiently.

创建者 Sudam D

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May 18, 2025

Concise, practical guide for building scalable Azure data warehouse solutions.

创建者 Rohan V

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Apr 14, 2025

Efficient, scalable, and clear—great guide for building Azure data warehouses.

创建者 Eshan G

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Apr 7, 2025

Comprehensive guide for building efficient, scalable data warehouses in Azure.

创建者 Divyansh N

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Apr 5, 2025

Efficient, scalable, and cost-effective solution for organizing data in Azure.

创建者 Vritika t

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Mar 27, 2025

Great course for learning data warehousing in Azure with practical insights.

创建者 Priyansh S

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Jul 3, 2025

Comprehensive guide to building scalable data warehouses on Azure platform.

创建者 Tushar C

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May 11, 2025

Clear, concise guide for building scalable Azure data warehouse solutions.

创建者 Shreyas R

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Apr 17, 2025

Clear, concise guide for building scalable Azure data warehouse solutions.

创建者 Mitul S

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Apr 11, 2025

Step-by-step guide to building scalable data warehouses using Azure tools.

创建者 Lakshit V

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Apr 10, 2025

Clear, concise guide for building scalable Azure data warehouse solutions.

创建者 Jayesh M

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Apr 9, 2025

Efficient and scalable solution for centralized data storage and analysis.

创建者 Rachit M

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Mar 26, 2025

Efficient, scalable, and secure solution for managing data in Azure cloud.