Course Outline
1 – Module 1: Explore core data concepts
- Core data concepts
- Data roles and Services
- Identify how data is defined and stored
- Identify characteristics of relational and non-relational data
- Describe and differentiate data workloads
- Describe and differentiate batch and streaming data
- Identify common data professional roles
- Identify common cloud services used by data professionals
2 – Module 2: Explore fundamentals of relational data in Azure
- Explore relational data offerings in Azure
- Explore Azure services for relational data
- Identify characteristics of relational data
- Define normalization
- Identify types of SQL statement
- Identify common relational database objects
- Identify options for Azure SQL services
- Identify options for open-source databases in Azure
3 – Module 3: Explore fundamentals of non-relational data in Azure
- Fundamentals of Azure Storage
- Fundamentals of Azure Cosmos DB
- Describe features and capabilities of Azure blob storage
- Describe features and capabilities of Azure Data Lake Gen2
- Describe features and capabilities of Azure file storage
- Describe features and capabilities of Azure table storage
- Describe key features and capabilities of Azure Cosmos DB
- Identify the APIs supported in Azure Cosmos DB
4 – Module 4: Explore fundamentals of data analytics
- Modern data warehousing
- Streaming and real-time analytics
- Data visualization
- Identify common elements of a modern data warehousing solution
- Describe key features for data ingestion pipelines
- Identify common types of analytical data store and related Azure services
- Describe common elements of streaming data solutions
- Describe features and capabilities of Azure Stream Analytics
- Describe features and capabilities of Spark Structured Streaming on Azure
- Describe features and capabilities of Azure Synapse Data Explorer
- Describe a high-level process for creating reporting solutions with Microsoft Power BI
- Describe core principles of analytical data modeling
Actual course outline may vary depending on offering center. Contact your sales representative for more information.
Learning Objectives
After completing this course, students will be able to:
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- Describe core data concepts
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- Identify considerations for relational data on Azure
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- Describe considerations for working with non-relational data on Azure
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- Describe an analytics workload on Azure
No special instructions regarding this course's target audience provided. Please contact us to discuss if you are unsure whether this course is for you!
No special prerequisites for this course provided. If you are unsure whether you might need to take another course first, please contact us to discuss.
Ten (10) business days’ notice is required to reschedule a class with no additional fees. Notify TOPTALENT LEARNING as soon as possible at 469-721-6100 or by written notification to info@toptalentlearning.com to avoid rescheduling penalties.
Please contact our team at 469-721-6100; we will gladly guide you through the online purchasing process.
You will receive a receipt and an enrollment confirmation sent to the email you submitted at purchase. Your enrollment email will have instructions on how to access the class. Any additional questions our team is here to support you. Please call us at 469-721-6100.
If a student is 15 minutes late, they risk losing their seat to a standby student. If a student is 30 minutes late or more, they will need to reschedule. A no-show fee will apply. Retakes are enrolled on a stand-by basis. The student must supply previously issued courseware. Additional fees may apply.
You will receive a ‘Certificate of Completion’ once you complete the class. If you purchased an exam voucher for the class, a team member from TOPTALENT LEARNING will reach out to discuss your readiness for the voucher and make arrangements to send it.