Master Azure Big Data: Learn HDInsight, Spark, and more. Design batch and real-time solutions, and operationalize cloud analytics. Gain hands-on expertise to build and deploy powerful data processing pipelines.
| Date | Venue | Duration | |
|---|---|---|---|
| Available on Request | Sandton | 3 Days | Register Now |
Microsoft Azure is a cloud computing service built by Microsoft for creating, testing, deploying, and managing applications through data centres managed by Microsoft. This Azure Big Data certification course covers various cloud analytics options available on the Microsoft Azure cloud platform. It includes detailed studies of data analytics services like HDInsight, Apache Spark, Jupiter, Zeppelin, Stream Analytics, and Lake Analytics. Most organizations today seek deeper analysis of accessible data to enhance their decision-making process and increase the probability of success. Azure analytics services help you derive useful insights from big data, whether it is real-time or gathered over time.
Prerequisites
Although not mandatory, participants are expected to have a basic understanding of:
Big data
Data analytics
Processing and querying bulk data
Analysing real-time and historical data
Using SQL
Data analysis and visualization tools like Power BI or PowerShell
Upon successfully completing this Azure Big Data certification course, 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
Recognize how to design solutions for batch and real-time data processing
Understand different methods of using Azure
Expand their knowledge about creating big data analytics solutions on Microsoft Azure
Learn HDInsight, Apache Spark, Jupiter, Zeppelin, Stream Analytics, Lake Analytics, Data Bricks
Prospen Africa’s Azure Big Data certification course is suitable for:
Those who want a career in Cloud Computing and Data Analytics
Anyone interested in learning Microsoft Azure
Individuals interested in learning about various Big Data Analytics services and options available on Microsoft Azure
Software Architects
Programming Developers and System Administrators
Experienced working professionals and Project Managers
Business Intelligence, Data Warehousing, and Analytics Professionals
ETL and Data Warehousing Professionals
Data Analysts & Business Intelligence Professionals
Database Administrators and other DB professionals
Our diverse instructional approaches ensure effective learning:
– Lectures & Presentations: Engage with expert-driven, stimulating content.
– Course Material: Access well-crafted supporting resources.
– Group Work: Collaborate on discussions and case studies for practical insights.
– Workshops & Role-Play: Participate in immersive, scenario-based activities.
– Practical Application: Focus on applying theoretical knowledge in real situations.
– Post-Training Support: Receive extensive support after training for skill implementation.
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
Visualize the Data
Conclusion
MODULE 5: OPERATIONALIZE 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 Cosmos DB
Create the Cosmos DB graph database
Query the Cosmos DB 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
MODULE 8: POWERSHELL FOR TECHNOLOGY PROFESSIONALS
Compared to other scripting languages
Configuring and using PowerShell
Creating and running scripts
Administering local resources
Administering network resources
Resolve PowerShell scripting problems
MODULE 9: OPERATIONALIZE END-TO-END CLOUD ANALYTICS SOLUTIONS
Use PowerShell to get computer information
Use PowerShell to understand and apply cmdlets
Create an Azure VM with Azure PowerShell
Cortana Intelligence Suite
Azure Machine Learning solutions
MODULE 10: SCRIPTING
Create and execute scripts
Configure and test remote management
Additional reading
Operationalize Cloud Analytics Solutions with Microsoft Azure
Microsoft R and Microsoft R Server
MODULE 11: HDINSIGHT
Data Analytics
HDInsight
HDInsight 3 – Spark
HDInsight 4 – Jupiter
HDInsight 5 – Zeppelin
MODULE 12: HOSTING SERVICES ON-PREMISES AND IN AZURE
Hosting services on-premises
Hosting services in Azure App Service
Packaging services in containers
Implementing serverless services
Host an ASP.NET service in Windows
Creating a new ASP.NET Core Application
Registering the Windows service
Host an ASP.NET Web API in an Azure Web App
Install an ASP.NET Web API to the Web App
Host an ASP.NET service in Azure Container Instances
Publish the service to a Docker container
Host the service in Azure Container Instances
Implement an Azure Function
Develop the service locally
Deploy the service to Azure Functions
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