Course Overview
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 discusses topics around the various cloud analytics options available on the Microsoft Azure cloud platform. Data analytics services like HDInsight, Apache Spark, Jupyter, Zappelin, Stream Analytics, and Lake Analytics will be studied in detail as a part of this course.
Most organisations today want a deeper level of analysis on the data that is accessible to them so that they can use this analysis and information to enhance their decision-making process and subsequently increase its probability of success. The Azure analytics services help you to get useful insights from big data, regardless of whether it is real-time or gathered over time.
What are the prerequisites for this ‘Azure Big Data Analytics Certification Course’? Although not mandatory, participants are expected to have a basic level of knowledge in big data, data analytics, processing and querying bulk data, analysing real-time and historical data, using SQL, or data analysis and visualisation tools like Power BI or PowerShell.
This Zoe’s azure big data certification course will empower you with an in-depth understanding of data analytics and provide you with in-depth knowledge of specific data analysis tools and techniques.
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
- Learn HDInsight, Apache Spark, Jupyter, Zappelin, Stream Analytics, Lake Analytics, Data Bricks
Training Methodology
This is an interactive azure big data certification training program and will consist of the following training approaches:
- Lectures
- Seminars & Presentations
- Group Discussions
- Assignments
- Case Studies & Functional Exercises
Similar to all our courses, this program also follows the ‘Do-Review-Learn-Apply’ model.
Organisational Benefits
Companies who send in their employees to participate in this azure big data certification course can benefit in the following ways:
- Give your employees the ability to manage large data volumes using the latest tools
- Provide your workforce with flexible and cost-effective professional development opportunities
- Analyse case studies in this domain and be able to apply successful techniques in your organisation
- Comprehend the principles and practice of Big Data and the context in which this operates
- Adopt the technology that is being used successfully by multiple companies falling into various domains around the globe
- Attract more investors towards your business – Forbes reports that 56% of enterprises will increase their investment in big data over the next three years
Personal Benefits
Professionals who participate in this azure big data certification course can benefit in the following ways:
- Be up and running in the most demanding professional skills
- Learn about using Azure Data Factory as a resolution for batch processing data
- Capture and process data in real-time and discover the query syntax used with streaming data
- Progress in your career in the Big Data domain
- Benefit from a structured training with the latest curriculum as per current industry requirements and best practices
- Study the scenarios that lend themselves to an Azure Machine Learning solution
- Uncover the knowledge about the Microsoft R and Microsoft R servers, along with the history of Microsoft R and how it is used to create advanced analytics solutions
Who Should Attend?
This azure big data certification course would be suitable for:
- Those who want to make a career in Cloud Computing and Data Analytics
- Anyone interested in learning Microsoft Azure
- Individuals who are interested in learning about the 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
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
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: OPERATIONALISE 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
- Operationalise Cloud Analytics Solutions with Microsoft Azure
- Microsoft R and Microsoft R Server
MODULE 11: HDInsight
- Data Analytics
- HDInsight
- HDInsight 3 – Spark
- HDInsight 4 – Jupyter
- HDInsight 5 – Zappelin
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
