Corporate Microsoft Azure Big Data Analytics Training Course
Edstellar's instructor-led Microsoft Azure Big Data Analytics training course equips teams with solutions for implementing data lake strategy and integration. The training enables teams to utilize Azure's big data tools to perform data analysis and optimize operations. Empower teams to derive actionable insights and drive business value.
Microsoft Azure Big Data Analytics Corporate Training Course
Drive Team Excellence with Microsoft Azure Big Data Analytics Training for Employees
Empower your teams with expert-led on-site/in-house or virtual/online Microsoft Azure Big Data Analytics Training through Edstellar, a premier corporate training company for organizations globally. Our tailored Microsoft Azure Big Data Analytics corporate training course equips your employees with the skills, knowledge, and cutting-edge tools needed for success. Designed to meet your specific needs, this Microsoft Azure Big Data Analytics group training program ensures your team is primed to drive your business goals. Transform your workforce into a beacon of productivity and efficiency.
Microsoft Azure Big Data Analytics refers to the comprehensive set of services and tools provided by Azure to manage, analyze, and operationalize vast amounts of data across enterprises. The training is crucial as it enables organizations to leverage big data for strategic decision-making and optimizing operational efficiency. The Microsoft Azure Big Data Analytics training course is an extensive program designed to empower professionals with the techniques to harness the full potential of Azure’s data services. This course enables professionals to effectively process and analyze big data, implement scalable solutions, and integrate Azure analytics seamlessly into their existing IT infrastructure, ensuring data-driven decision-making and strategic advantage.
Edstellar's instructor-led Microsoft Azure Big Data Analytics training course offers a balanced mix of in-depth theoretical knowledge and hands-on practical application, delivered through both virtual/onsite sessions by seasoned industry experts. The training offers a customizable curriculum tailored to meet the team's needs.
Key Skills Employees Gain from Microsoft Azure Big Data Analytics Training
Microsoft Azure Big Data Analytics skills corporate training will enable teams to effectively apply their learnings at work.
- Data Ingestion
- Machine Learning
- Azure Services Management
- Troubleshooting and Debugging
- Data Analysis
- Data Visualization
Microsoft Azure Big Data Analytics Training for Employees: Key Learning Outcomes
Edstellar’s Microsoft Azure Big Data Analytics training for employees will not only help your teams to acquire fundamental skills but also attain invaluable learning outcomes, enhancing their proficiency and enabling application of knowledge in a professional environment. By completing our Microsoft Azure Big Data Analytics workshop, teams will to master essential Microsoft Azure Big Data Analytics and also focus on introducing key concepts and principles related to Microsoft Azure Big Data Analytics at work.
Employees who complete Microsoft Azure Big Data Analytics training will be able to:
- Analyze large datasets using Azure HDInsight and Azure Databricks, extracting actionable insights that support strategic decisions
- Design secure and compliant data solutions on Azure, incorporating best practices for data privacy, security, and regulatory compliance
- Integrate Azure's AI and machine learning capabilities into big data analytics, enhancing the predictive power and insights of analytics solutions
- Optimize Azure storage and compute resources for big data analytics, applying techniques to manage costs while ensuring performance and scalability
- Develop and deploy data processing pipelines using Azure Data Factory and Azure Synapse Analytics, ensuring efficient data transformation and analysis
- Apply Azure big data technologies to solve complex business problems, demonstrating an ability to design, implement, and maintain scalable big data analytics solutions
Key Benefits of the Microsoft Azure Big Data Analytics Corporate Training
Attending our Microsoft Azure Big Data Analytics classes tailored for corporations offers numerous advantages. Through our on-site/in-house or virtual/online Microsoft Azure Big Data Analytics training classes, participants will gain confidence and comprehensive insights, enhance their skills, and gain a deeper understanding of Microsoft Azure Big Data Analytics.
- Learn to architect and implement Big Data solutions in Azure, enabling scalable data processing and analytics
- Develop professional skills in using Azure HDInsight and Azure Databricks for big data processing and analytics
- Equip teams with the techniques to manage and analyze large datasets, leveraging Azure's data services for insights
- Enables teams to create real-time analytics solutions using Azure Stream Analytics, enhancing decision-making processes
- Explore how to integrate Azure Data Factory and Azure Synapse Analytics to streamline data workflows and analytics pipelines
- Empowers professionals with the skills to secure data and apply privacy controls in Azure, adhering to compliance and governance standards
Microsoft Azure Big Data Analytics Training Topics and Outline
Our virtual and on-premise Microsoft Azure Big Data Analytics training curriculum is divided into multiple modules designed by industry experts. This Microsoft Azure Big Data Analytics training for organizations provides an interactive learning experience focused on the dynamic demands of the field, making it relevant and practical.
- Introduction to cloud computing
- Definitions and essential components
- Comparison of cloud computing models (IaaS, PaaS, SaaS)
- Cloud computing advantages and challenges
- What is Microsoft Azure?
- Azure as a global cloud platform
- Key features and capabilities of Azure
- Microsoft Azure services
- Overview of core Azure services
- Integration of Azure services in business scenarios
- Azure portal
- Features and functionalities of the Azure portal
- Customizing the dashboard and user interface
- Tips for efficient management using the Azure portal
- Azure CLI
- Advanced CLI commands and scripts
- Azure PowerShell
- Introduction to Azure PowerShell cmdlets
- Scripting and automation with PowerShell
- Differences between Azure PowerShell and Azure CLI
- Azure resources & subscriptions
- Managing and organizing Azure resources
- Subscription models and management
- Azure Resource Manager
- Role and importance of ARM in Azure
- ARM templates and deployment
- Best practices for resource management with ARM
- Managing Azure resources
- Tools for resource management (Portal, CLI, PowerShell)
- Effective resource monitoring and maintenance
- Security considerations in resource management
- Azure tags
- Utilizing tags for resource organization
- Implementing tagging strategies
- Azure Storage Account & its types
- Types of storage accounts and their use cases
- Performance and pricing options
- Security and compliance features in Azure Storage
- Azure Blob Storage
- Understanding Blob Storage architecture
- Managing access and security for Blob Storage
- Azure Content Delivery Network (CDN)
- Basics of CDN and its benefits
- Configuring and managing Azure CDN
- Optimizing content delivery with Azure CDN
- Azure Files Storage
- Introduction to Azure Files
- Setting up and managing file shares
- Azure File Sync
- Synchronization features and capabilities
- Setup and configuration of Azure File Sync
- Azure Table Storage
- Overview of table storage and use cases
- Designing and optimizing tables for performance
- Security and access management in Table Storage
- Azure Queue Storage
- Advanced features and reliability settings
- Azure Storage Explorer
- Exploring features of Azure Storage Explorer
- Managing Azure storage data with storage explorer
- Tips for effective data handling and troubleshooting
- Azure Shared Access Signature (SAS)
- Understanding SAS and its importance
- Creating and managing SAS tokens
- Security best practices for using SAS
- Azure Databox
- Data transfer scenarios using Databox
- Security and compliance features of Databox
- Azure Storage Replication
- Replication options available in Azure Storage
- Choosing the right replication strategy for your data
- Azure Virtual Machines
- Types of virtual machines in Azure
- Planning and deploying Azure VMs
- Data Disks in Azure
- Adding and configuring data disks
- Performance considerations for data disks
- Backup and recovery options for VM disks
- Azure VMs & Interfaces
- VM configurations and networking options
- Interface customization and management
- ARM templates
- Understanding ARM templates for VM deployment
- Customizing and automating deployments using templates
- VHD templates
- Creating and managing VHDs for Azure VMs
- Migrating existing VHDs to Azure
- Performance tuning and optimization of VHDs
- Custom images of Azure VM
- Creating custom VM images
- Managing and sharing custom images
- Compliance and security considerations for custom images
- Virtual machine scale sets
- Scaling applications using VM scale sets
- Configuration and management of scale sets
- Monitoring and auto-scaling capabilities
- Virtual machine availability sets
- Configuring availability sets for high availability
- Integration with other Azure high availability features
- App Service Web App for containers
- Deploying containerized applications
- Configuring and managing Web Apps for Containers
- App service plan
- Choosing the right App Service plan
- Scaling options and pricing models
- Monitoring and managing app performance
- Networking for an app service
- Network integration and configuration options
- Troubleshooting common network issues
- Deployment slots
- Benefits of using deployment slots
- Setting up and managing deployment slots
- Strategies for staging and production deployments
- Container image
- Building and managing container images
- Container registries and image storage options
- Security considerations for container images
- Azure kubernetes service
- Deploying and managing clusters in AKS
- Security and scaling in AKS
- Azure container registry
- Features of Azure Container Registry
- Managing container images in ACR
- Integration with Azure services and CI/CD pipelines
- Azure virtual networks
- Creating and configuring virtual networks
- Interconnecting Azure VNet with on-premises networks
- Azure Vnet components
- Core components of Azure VNet (Subnets, IP addresses, etc.)
- Advanced VNet features (Service Endpoints, Peering)
- Designing effective network architectures
- IP Address – Public & Private IPs
- Assigning and managing IP addresses in Azure
- Benefits and use cases of public vs private IPs
- IP address strategies for scalability and security
- Azure Vnet subnets
- Planning and configuring subnets in Azure VNet
- Subnet security and network segmentation
- Troubleshooting common subnet issues
- Azure Network Interface Cards (NIC)
- Role of NIC in Azure VMs
- Configuring and managing multiple NICs
- Advanced NIC settings and optimizations
- Network Security Group (NSG)
- Basics of NSGs and their application
- Monitoring and auditing NSG rules
- Route tables
- Understanding route tables in Azure networking
- Custom routes and their configurations
- Integration with other networking components
- Service tags
- Using service tags in NSG rules
- Simplifying access controls with service tags
- Azure DNS
- Configuring DNS settings for Azure services
- Managing custom domains in Azure
- Security features in Azure DNS
- Private DNS
- Setting up and managing Private DNS zones
- Integration with VNet and on-premises environments
- Application gateway
- Overview of Application Gateway and its features
- Configuring routing rules and listeners
- High availability and scaling options
- Azure front door service
- Key features and benefits of Azure Front Door
- Setting up and configuring Front Door for web applications
- Security and performance enhancements with Front Door
- Azure traffic manager
- Understanding Traffic Manager profiles
- Integrating Traffic Manager with other Azure services
- Application security groups
- Defining and using ASGs in network security
- Implementing ASGs in complex environments
- Azure load balancers
- Types of load balancers in Azure and their use cases
- Configuring load balancing rules and health probes
- Troubleshooting and optimizing load balancer performance
- Azure firewall
- Capabilities and setup of Azure Firewall
- Integrating Azure Firewall with network architectures
- Firewall policies and rules management
- Azure bastion
- Setting up Bastion for secure remote access
- Enhancements and updates to Bastion features
- Network watcher
- Tools and features in Network Watcher
- Network diagnostics and visualization
- Automating network monitoring and troubleshooting with Network Watcher
- Azure express route
- Introduction to ExpressRoute and its benefits
- Managing and monitoring ExpressRoute connections
- Express route circuits
- Planning and provisioning Express Route circuits
- Capacity planning and scaling for circuits
- Integration with cloud and on-premises networks
- Express route peering
- Types of peering in ExpressRoute
- Configuration and management of peering
- Security considerations and best practices
- Identity and access management in Azure
- Core concepts of Azure identity management
- Integrating Azure AD with other services
- Role Based Access Management (RBAC)
- Understanding RBAC and its components
- Implementing RBAC for resource control
- Troubleshooting common RBAC issues
- Role definitions
- Predefined vs custom roles
- Creating and managing custom roles
- Applying role definitions to manage access
- Role assignment in Azure resources
- Processes for assigning roles
- Auditing and compliance for role assignments
- Azure users & groups
- Managing user accounts and groups in Azure AD
- Role of groups in access management
- RBAC policies
- Policy definition and assignment in Azure
- Evaluating and enforcing compliance with policies
- Policy management tools and strategies
- Azure Active Directory (Azure AD)
- Key features and benefits of Azure AD
- Comparing Azure AD with traditional AD services
- Managing identities and access with Azure AD
- Windows AD Vs. Azure AD
- Differences and similarities between Windows AD and Azure AD
- Migration strategies from Windows AD to Azure AD
- Integration scenarios and hybrid identities
- Azure AD users
- Managing user profiles and settings in Azure AD
- Lifecycle management of Azure AD users
- Azure AD groups
- Managing group memberships and roles
- Using groups for efficient access management
- Azure AD domains
- Managing domains within Azure AD
- Domain verification and DNS configuration
- Security implications of domain management
- Azure AD tenants
- Understanding the concept of a tenant in Azure AD
- Managing multiple tenants for organizations
- Authentication options
- Various authentication methods supported by Azure AD
- Configuring multi-factor authentication
- Enhancing security with conditional access policies
- Azure AD connect
- Role of Azure AD Connect in integration
- Setup and configuration of Azure AD Connect
- Troubleshooting synchronization issues
- Self Service Password Reset (SSPR)
- Enabling and configuring SSPR
- Benefits of SSPR for user management
- Security considerations for SSPR
- Multi-Factor Authentication (MFA)
- Importance of MFA in securing access
- Configuring MFA settings and policies
- User experience and compliance implications
- Resource locks
- Using resource locks to prevent accidental changes
- Types of locks and when to use them
- Managing and monitoring resource locks
- Azure monitor
- Setting up alerts and automated actions
- Analyzing data with Azure Monitor
- Azure metrics
- Key performance indicators in Azure
- Collecting and visualizing metrics
- Custom metrics and their applications
- Log analytics
- Introduction to Azure Log Analytics
- Querying and analyzing log data
- Integrating Log Analytics with other Azure services
- Alerts and actions
- Configuring alerts for resource monitoring
- Automated actions based on alerts
- Application insights
- Monitoring applications with Application Insights
- Custom telemetry and performance tracking
- Integration with development and operations workflows
- Backup reports
- Generating and analyzing backup reports
- Compliance and auditing through backup reports
- Optimizing backup strategies based on report insights
- Recovery services vault
- Setting up and configuring Recovery Services Vaults
- Managing backups and restores from the vault
- Security and compliance features of the Recovery Services Vault
- Backing up Azure virtual machines
- Backup options and configurations for Azure VMs
- Monitoring and managing backup health
- VM backup policies
- Creating and managing backup policies
- Customizing backup schedules and retention settings
- Compliance and data protection considerations
- Restoring Azure virtual machines
- Procedures for VM restoration
- Testing and validating restore processes
This Corporate Training for Microsoft Azure Big Data Analytics is ideal for:
What Sets Us Apart?
Microsoft Azure Big Data Analytics Corporate Training Prices
Our Microsoft Azure Big Data Analytics training for enterprise teams is tailored to your specific upskilling needs. Explore transparent pricing options that fit your training budget, whether you're training a small group or a large team. Discover more about our Microsoft Azure Big Data Analytics training cost and take the first step toward maximizing your team's potential.
Request for a quote to know about our Microsoft Azure Big Data Analytics corporate training cost and plan the training initiative for your teams. Our cost-effective Microsoft Azure Big Data Analytics training pricing ensures you receive the highest value on your investment.
Our customized corporate training packages offer various benefits. Maximize your organization's training budget and save big on your Microsoft Azure Big Data Analytics training by choosing one of our training packages. This option is best suited for organizations with multiple training requirements. Our training packages are a cost-effective way to scale up your workforce skill transformation efforts..
125 licenses
64 hours of training (includes VILT/In-person On-site)
Tailored for SMBs
350 licenses
160 hours of training (includes VILT/In-person On-site)
Ideal for growing SMBs
900 licenses
400 hours of training (includes VILT/In-person On-site)
Designed for large corporations
Unlimited licenses
Unlimited duration
Designed for large corporations
Microsoft Azure Big Data Analytics Course Completion Certificate
Upon successful completion of the Microsoft Azure Big Data Analytics training course offered by Edstellar, employees receive a prestigious course completion certificate, symbolizing their dedication to ongoing learning and professional development. This certificate not only validates the employees' acquired skills but also serves as a powerful motivator, inspiring them to further enhance their expertise and contribute effectively to organizational success.
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Target Audience for Microsoft Azure Big Data Analytics Training Course
The Microsoft Azure Big Data Analytics training course is ideal for data analysts, data scientists, cloud solution architects, business intelligence professionals, IT managers, data architects, project managers, and software engineers.
The Microsoft Azure Big Data Analytics training program can also be taken by professionals at various levels in the organization.
Microsoft Azure Big Data Analytics training for managers
Microsoft Azure Big Data Analytics training for staff
Microsoft Azure Big Data Analytics training for leaders
Microsoft Azure Big Data Analytics training for executives
Microsoft Azure Big Data Analytics training for workers
Microsoft Azure Big Data Analytics training for businesses
Microsoft Azure Big Data Analytics training for beginners
Microsoft Azure Big Data Analytics group training
Microsoft Azure Big Data Analytics training for teams
Microsoft Azure Big Data Analytics short course
Prerequisites for Microsoft Azure Big Data Analytics Training
Professionals with a basic understanding of cloud computing and familiarity with Microsoft Azure can take up the Microsoft Azure Big Data Analytics training.
Assess the Training Effectiveness
Bringing you the Best Microsoft Azure Big Data Analytics Trainers in the Industry
The instructor-led Microsoft Azure Big Data Analytics training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in Microsoft Azure Big Data Analytics Access practices.
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Training Delivery Modes for Microsoft Azure Big Data Analytics Group Training
At Edstellar, we understand the importance of impactful and engaging training for employees. To ensure the training is more interactive, we offer Face-to-Face onsite/in-house or virtual/online Microsoft Azure Big Data Analytics training for companies. This method has proven to be the most effective, outcome-oriented and well-rounded training experience to get the best training results for your teams.
Instructor-led Training
Engaging and flexible online sessions delivered live, allowing professionals to connect, learn, and grow from anywhere in the world.
Instructor-led Training
Customized, face-to-face learning experiences held at your organization's location, tailored to meet your team's unique needs and objectives.
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Instructor-led Training
Interactive workshops and seminars conducted at external venues, offering immersive learning away from the workplace to foster team building and focus.
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