Azure Data Fundamentals: Analytical Workloads
Azure 2024
| Beginner
- 9 videos | 47m 14s
- Earns a Badge
Tools like Power BI, SQL Server Analysis Services (SAAS), and Azure Stream Analytics can significantly enhance decision-making through their robust data visualization capabilities, scalability, and the capacity to handle large datasets. In this course, learn how to connect Power BI Desktop to data sources for interactive analytics, how columnstore indexes in SQL Server improves query performance, and how SAAS can be used to build and deploy OLAP and data mining models. Next, explore the SAAS installation process and the different types of data analytics workloads for business intelligence. Finally, explore Azure Stream Analytics and how to create and configure Stream Analytics jobs for processing live data streams. This course is one of a collection that prepares learners for the DP-900: Microsoft Azure Data Fundamentals exam.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this course
Outline how to connect power bi desktop to various data sources for interactive analytics
Recognize how columnstore indexes in sql server work to improve query performance on large datasets
Describe how sql server analysis services (saas) can be used to build and deploy online analytical processing (olap) and data mining models
Outline the process of installing sql server analysis services (saas) to enable advanced data analytics capabilities -
Recognize different types of data analytics workloads and their applications in business intelligence
Describe azure stream analytics and its use in real-time data stream processing
Create and configure stream analytics jobs for processing live data streams
Summarize the key concepts covered in this course
IN THIS COURSE
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1m 30sIn this video, we will discover the key concepts covered in this course. FREE ACCESS
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6m 33sAfter completing this video, you will be able to outline how to connect Power BI Desktop to various data sources for interactive analytics. FREE ACCESS
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3. SQL Server with Columnstore Indexes5m 47sThrough this video, you will be able to recognize how columnstore indexes in SQL Server work to improve query performance on large datasets. FREE ACCESS
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4. SQL Server Analysis Services (SAAS)5mUpon completion of this video, you will be able to describe how SQL Server Analysis Services (SAAS) can be used to build and deploy online analytical processing (OLAP) and data mining models. FREE ACCESS
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5. SQL Server Analysis Services (SAAS) Installation6m 26sIn this video, we will outline the process of installing SQL Server Analysis Services (SAAS) to enable advanced data analytics capabilities. FREE ACCESS
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6. Data Analytics Workloads9m 46sThrough this video, you will be able to recognize different types of data analytics workloads and their applications in business intelligence. FREE ACCESS
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7. Azure Stream Analytics6m 3sAfter completing this video, you will be able to describe Azure Stream Analytics and its use in real-time data stream processing. FREE ACCESS
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8. Creating Stream Analytics Jobs5m 5sDiscover how to create and configure Stream Analytics jobs for processing live data streams. FREE ACCESS
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9. Course Summary1m 5sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
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