Azure big data analytics certification

Course Objectives

Upon completing this azure big data certification course successfully, participants will be able to:

• Get an overview of the big data and advanced analytics capabilities of the cloud
• Explore various Big Data Analytics services available on Microsoft Azure cloud
• Recognise how to design solutions for batch and real-time data processing
• Understand different methods of using Azure
• Expand your knowledge about creating big data analytics solutions on Microsoft Azure

Course Outline

MODULE 1: BIG DATA BATCH PROCESSING

• Ingest data for batch processing
• Design for batch processing
• Design interactive queries

MODULE 2: DESIGN BIG DATA BATCH PROCESSING SOLUTIONS

• Load data into Microsoft Azure
• Prepare data for batch processing
• Query the data
• Conclusion

MODULE 3: BIG DATA REAL-TIME PROCESSING SOLUTIONS

• Ingest data for Real-Time Processing
• Designing for Real-Time Processing
• Design interactive queries for Big Data

MODULE 4: DESIGN BIG DATA REAL-TIME PROCESSING SOLUTIONS

• Load data into Microsoft Azure
• Prepare data for Real-Time event processing
• Visualise the Data
• Conclusion

MODULE 5: OPERATIONALISE END-TO-END CLOUD ANALYTICS SOLUTIONS

• Create a data factory
• Create a data-driven workflow
• Monitor and Manage the data factory
• Move, Transform and Analyse Data
• Design a deployment plan for an end-to-end solution

MODULE 6: IMPLEMENTING DATA STORAGE IN AZURE

• Choosing a Data Storage Mechanism
• Accessing Data in Azure Storage
• Working with Structured Data in Azure
• Geographically Distributing Data with Azure CDN
• Scaling with Out-of-Process Cache
• Storing Files in Azure Storage
• Store publicly accessible files in Azure Blobs
• Produce and store private files in Azure Blobs
• Querying Graph Data with CosmosDB
• Create the CosmosDB graph database
• Query the CosmosDB database
• Caching out-of-process with Azure Redis cache
• Create the Azure Redis Cache service
• Access the cache service from code
• Test the application

MODULE 7: DATA FACTORIES AND WORKFLOWS

• Create, Manage & Monitor a data factory
• Create a data-driven workflow
• Move, Transform and Analyse Data
• Create a deployment strategy using PowerShell