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Master Azure SQL and Database Administration (DBA) in Bangalore with our comprehensive training program. Learn to deploy, manage, and optimize Azure SQL databases with expert guidance. Gain hands-on experience in migration, security, and performance tuning for Azure environments. Explore scalability, disaster recovery, and automation strategies tailored for the cloud. Benefit from interactive sessions, real-world scenarios, and personalized mentorship. Elevate your career with in-demand skills in Azure’s cutting-edge cloud database solutions. Join us to become a proficient Azure SQL DBA and lead innovation in data management.
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Live Online Training
Highly practical oriented training
Installation of Software On your System
24/7 Email and Phone Support
100% Placement Assistance until you get placed
Global Certification Preparation
Trainer Student Interactive Portal
Assignments and Projects Guided by Mentors
And Many More Features
Course completion certificate and Global Certifications are part of our all Master Program
Live Classroom Training
Weekend / Weekdays / Morning / Evening Batches
80:20 Practical and Theory Ratio
Real-life Case Studies
Easy Coverup if you missed any sessions
PSI | Kryterion | Redhat Test Centers
Life Time Video Classroom Access ( coming soon )
Resume Preparations and Mock Interviews
And Many More Features
Course completion certificate and Global Certifications are part of our all Master Program
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Self Paced Learning
Learn 300+ Courses at Your Own Time
50000+ Satisfied Learners
Course Completion Certificate
Practical Labs Available
Mentor Support Available
Doubt Clearing Session Available
Attend Our Virtual Job Fair
10% Discounted Global Certification
Course completion certificate and Global Certifications are part of our all Master Program
Live Online Training
Highly practical oriented training
Installation of Software On your System
24/7 Email and Phone Support
100% Placement Assistance until you get placed
Global Certification Preparation
Trainer Student Interactive Portal
Assignments and Projects Guided by Mentors
And Many More Features
Course completion certificate and Global Certifications are part of our all Master Program
Live Classroom Training
Weekend / Weekdays / Morning / Evening Batches
80:20 Practical and Theory Ratio
Real-life Case Studies
Easy Coverup if you missed any sessions
PSI | Kryterion | Redhat Test Centers
Life Time Video Classroom Access ( coming soon )
Resume Preparations and Mock Interviews
And Many More Features
Course completion certificate and Global Certifications are part of our all Master Program
Self Test Training
300+ Technologies - Learn at your Convenience
4500+ High Quality Videos
Self Paced Training By Experts
Self Paced Hands-On Practical LABS
Cloud Sand Boxes
Do Projects and Assignments with Live LABS
100+ Exam Simulators & Discounted Vouchers
Live Mentor Support - By 10+ Years Experts
Course completion certificate and Global Certifications are part of our all Master Program
Overview
Why enroll Redhat Linux
Why enroll for Terraform course ?
Course Benefits
Choosing to learn Terraform can be highly beneficial for several reasons:
1. Infrastructure as Code (IaC): Terraform allows you to define and manage your infrastructure as code. This approach provides numerous benefits, including version control, repeatability, and consistency in infrastructure deployments. With Terraform, you can codify your infrastructure, making it easier to manage, maintain, and scale.
2. Multi-Cloud Support: Terraform supports multiple cloud providers, including AWS, Azure, Google Cloud Platform (GCP), and others. This means you can use the same tooling and processes to manage infrastructure across different cloud environments, enabling hybrid and multi-cloud deployments.
3. Automation and Orchestration: Terraform automates the provisioning and management of infrastructure resources, allowing you to define complex infrastructure setups with ease. By using Terraform, you can automate repetitive tasks, reduce manual errors, and increase efficiency in infrastructure management.
4. Scalability and Flexibility: Terraform is highly scalable and flexible, making it suitable for managing infrastructure at any scale. Whether you’re deploying a single virtual machine or a complex microservices architecture, Terraform provides the tools and capabilities to manage your infrastructure effectively.
5. Community and Ecosystem: Terraform has a large and active community of users, contributors, and module developers. This vibrant ecosystem provides access to a wide range of reusable modules, plugins, and integrations, making it easier to leverage best practices and accelerate development.
6. Cloud Native Integration: Terraform integrates seamlessly with cloud-native technologies such as Kubernetes. This allows you to manage both infrastructure and application deployments using a unified workflow, simplifying the management of modern, containerized applications.
7. Compliance and Governance: Terraform supports compliance and governance requirements by enabling you to define and enforce policies, standards, and configurations as code. With Terraform, you can implement security controls, enforce best practices, and ensure consistency across your infrastructure deployments.
8. Career Opportunities: Terraform skills are in high demand in the job market. By learning Terraform, you can increase your value as a professional and open up career opportunities in roles such as DevOps Engineer, Cloud Engineer, Infrastructure Engineer, and Site Reliability Engineer. Overall, Terraform provides a powerful and versatile toolkit for managing infrastructure as code. Whether you’re working in a cloud-native environment or managing traditional infrastructure, Terraform can help you automate, manage, and scale your infrastructure effectively.
Designations
Want to become Engineer?
Want to become Engineer?
Want to become Engineer?
WhyTerraform ?
Multi-Cloud Support
Terraform supports multiple cloud providers, including AWS, Azure, Google Cloud Platform (GCP), and others. This allows you to use a single tool and consistent workflow across different cloud environments, enabling hybrid and multi-cloud deployments.
Declarative Configuration
Terraform uses a declarative language to define infrastructure configurations. This means you specify the desired state of your infrastructure, and Terraform handles the provisioning and management to achieve that state. This approach is intuitive and allows for easier understanding and maintenance of infrastructure code.
Resource Graph
Terraform builds a dependency graph of your infrastructure resources based on their relationships and dependencies. This enables Terraform to determine the correct order of resource provisioning and manage complex infrastructures with ease.
Modularity and Reusability
Terraform encourages modularization and code reuse through the use of modules. Modules are self-contained units of Terraform configurations that can be reused across projects, teams, and environments. This promotes consistency, reduces duplication, and speeds up development.
State Management
Terraform maintains a state file that tracks the current state of your infrastructure. This state file is used to plan and apply changes, track resource attributes, and manage updates. Terraform's state management ensures consistency and facilitates collaboration among team members.
Plan and Apply Workflow
Terraform follows a plan and apply workflow, where changes to infrastructure are first planned and previewed before being applied. This allows you to review the proposed changes, identify potential issues, and apply changes safely, minimizing the risk of unintended consequences.
Extensibility
Terraform is highly extensible and integrates with a wide range of third-party tools and services. This includes integrations with configuration management tools, CI/CD pipelines, monitoring solutions, and more, allowing you to build comprehensive infrastructure automation workflows. While other IaC tools offer similar capabilities, Terraform's multi-cloud support, declarative configuration, resource graph, modularity, state management, workflow, and extensibility make it a popular choice for infrastructure automation in diverse environments. Additionally, Terraform's active community, robust documentation, and frequent updates contribute to its widespread adoption and continued development.
About your Terraform Certification Course
Terraform Skills Covered
Curriculum Designed by Experts
Azure Sql Dba Course Syllabus
AZURE CLOUD INTRO, CONFIGURATION
Introduction to Cloud. Need for Cloud, Advantages
Cloud Architecture Basics – IaaS, PasS and SaaS
Advantages of Microsoft Cloud – Azure Platform
Azure Products and Azure Services – MarketPlace
SQL Database Implementations in Azure Platform
Logical Servers, Virtual Machines, Managed Instance
Installing SSMS and Azure Data Studio (ADS) Tools
Creating Azure Account and Free Subscriptions
Creating Azure SQL Server (Logical Server)
Firewall Settings for Azure SQL Server (Logical Server)
Adding Firewall Rules – IP for Remote Access
Server Properties and Status Check. Server Name Format
Password Resets and Azure SQL Server Name Format
Creating Azure SQL Databases and Pricing Tiers
Azure SQL Database Access from SSMS Tool
DTU, ELASTIC QUERIES, MIGRATIONS
Azure Storage : Types, Creation & Containers
LRS, GRS and RA-GRS Azure Storage Accounts
Storage Containers, Storage Explorer Tool Usage
Data Migration and Database Migration in Azure
Data Migration Assistant (DMA) Tool, Assessment
Data / Database Migrations To Azure SQL
Database Exports and Imports in Azure with bacpac
Migration Scopes : Schema, Data, Schema & Data
Schema Generation and Compatibility For Migration
Data Migration Verification and Row Counts
DTU : Data Transaction Unit, Resource Allocations
Basic, Standard and Premium Plans For SQL DB
vCore Based Purchasing : Gen 4 and Gen 5 Types
General Purpose and Business Critical Plans
Compute Tier : Provisioned and Serverless
Bounding Box Model, Elastic Pools & Queries
eDTUs and Elastic Pool, per Database Settings
Elastic Scaling with Azure SQL Databases
AZURE SQL DATABASE TUNING
Azure SQL Server Level Tuning Options
Azure SQL Database Level Tuning Options
Automated Tuning Options and Peak-Loads
Force Plan, Create Index and Drop Index
Query Performance Insight, Recommendations
IO Metrics, CPU Metrics & Query Statistics
Data File IO, Log File IO, Custom Reports
Query Audits with Query IDs, Dashboards
DTU Usage Reports and Elastic Queries
Query Level Recommendations and Query Costs
Azure Search Service Configuration, Pricing Tiers
Azure Search for Data Import and Indexer Options
Suggester and Analyzer Index Modes for Tuning
Retrievable, Facetable, Filterable Indexes
Facetable and Searchable Indexes for Tuning
Change Tracking Options, Watermark Columns
Full Text Search : Performance Advantages
XEL GRAPHS, STRETCH DATABASES
SQL Traces : Creation and Audits. Limitations
SQL Traces : Event Class, Category, Filter, Conditions
Extended Events Package, Target, Action, Session
TSQL and SP Debug Events with Global Fields
XE Objects : Catalog & Dynamic Management Views
XE Profiler – Templates for Event Profiling (Audits)
Comparing XE Profiler with SQL Profiler Tool
Comparing Azure SQL Database with On-Premise
Stretch Databases in Azure SQL Databases
Stretch Databases – Tuning Benefits, Cautions
Table Level Migrations with Azure SQL Databases
Compute Performance Levels and DSU Pricing
Data Storage and Azure Database Snapshots
Geo Backup Of Tables and Hybrid Cloud Settings
Remote Data Archive Configuration in Azure
Database Master Key [DMK], Cold Data Migration
Real-time Advantages of Stretch Databases
ALERTS, BACKUPS / RESTORES
Azure SQL Server Activity Log and Options
Events, Operations and Event Categories
Quick Insights from Events and Filters
Events Exports to Event Hub, Log Analytics
Log Analytics Workspace, Alert Rules
Email / SMS Notifications and Schedules
Log Analytics Settings and Azure Storage
Activity Logs and Audit Reports, Insights
Azure SaaS Notifications System Options
Automated Backups in Azure SQL Database
Long Term & Automated Backup Retentions (bacpac)
Backups – Retentions, Audits. LTR Policy
Restore Points and Azure SQL Database Recovery
Geo-Redundant Backups and Advantages in Azure
Restore Options and DB Creations with LTR
Azure Storage Explorer Tool using Backups
Disaster Recovery (DR) Advantages in Azure
HA – DR LEVEL 1
Failover Groups and Active Geo-Replication
Read-Write Failover Policy, Automated Failover
Geo Replication Configurations – Azure Locations
Primary-Secondary and Read / Write Modes
GeoReplication : Monitoring and Forced Failover
Azure Server Failover Process, Strategies
Automated Failover , Manual & Forced Failover
Backup Errors, Geo Replication Errors – Solutions
SQL Data Sync Service and Sync Groups
HUB, MEMBER and SYNC DATABASE
Sync Direction, Sync Schema and Sync Interval
bi-directional Load Balancing and Failover
Conflict Resolution Policy with HUB and MEMBER
Cloud to Cloud / On-Premise Synchronization
Hub to Member and Member to Hub Sync Policies
HA – DR LEVEL 2
Azure AlwaysOn with SQL Server Clusters
Primary Node and Secondary Node Clusters
SQL Server Virtual Machines and Settings
Domain Controller (DC) Virtual Machines
Witness File Share (WFS) Settings in DC
Azure Server Failover Process, Strategies
Adding Databases to Failover Group
Always On Health Check Reports (AOAG)
Configuring and Using Azure Always-On
Load Balancing with Azure Always-On
Azure Cloud Shell – PowerShellGet, Versions
Power Shell Scripts for Configurations
Power Shell Scripts for Job Schedules
Power Shell Scripts for Firewall, ARM
Azure CLI – Purpose, Real-time Use
Command Line Interface for Automations
Azure telemetry Commands and Usage
Help, Show, Create and Firewall Commands
SECURITY MANAGEMENT, RLS
Firewall and Virtual Network Configurations
Server-level Firewall & Database Firewall Rules
System Stored Procedures for Firewall Settings
Logins, Users, Roles and Permissions using T-SQL
Creating Logins without Logins. Containment Users
GRANT, DENY, REVOKE, WITH GRANT Permissions
Role Level and Schema Level Security in Azure
Threat Detection, Transparent Database Encryption
Vulnerability Assessment, Dynamic Data Masking
Implementing RLS – Row Level Security
Creating Users with and without Logins
Using SECURITY Schema for RLS Functions
Creating Security Predicates and Filters
Security Policies for Row Level Security
EXECUTE AS options for RLS. STATE ON/OFF
Dynamic Data Masking with Azure SQL Database
Implementing DDM with Azure Portal & T-SQL
AZURE VIRTUAL MACHINE – WINDOWS
IaaS, Azure VM. Install Azure Virtual Machines
Install/Configure Windows Server, Redhat, Ubuntu
SQL Server Azure VM – Config Settings, Elastic Pools
Resource Groups, Resource Pools and eDTUs
Verify SQL Instances in Azure VM. sysadmin Account
Azure Storage Blades and Pricing Options
Azure VM – Settings, DB Creation in Azure VM
On-Premise & Azure Virtual Machines: Similarities
SSMS, SQL Server Instance, Agent in Azure VM
Azure Virtual Machines ; Security Options
Azure SQL Database in VM to SQL Cloud
Azure SQL Database in VM to on-Prem
Deployment Automation Process, Automation Scripts
SQL Database in AWS and Google Cloud
Azure Virtual Machine Configuration Settings
Azure SQL Database Advantages in Virtual Machines
Public Access with SQL Server Instance, Security
LINUX VM, MANAGED INSTANCES
SQL Server on LINUX – RHEL (Red Hat Linux)
Advantages of LINUX RHEL Over Windows
LINUX RHEL Security Management, Firewall
Storage, vCores and Storage Options in VM
RHEL Clusters for SQL Server on LINUX
Failover Mode and Node Majority – TCP
Deployment Models and Azure Resource Manager
RHEL Cluster Resource Manager Settings
Pacemaker and SQL Server Nodes in AG
SQL Database Managed Instance – TDE
Native Virtual Networks and Scalability
Lift – Shift LOB Applications, PaaS Infrastructure
Frictionless Migration for On-Premise
vCore Purchasing Model for Azure SQL DB
Gen 4 and Gen 5 Logical CPUs, Resource Limits
Managed Instances Vs AWS & Google Cloud
Cell Level Encryption and Always-Encrypted
Free Career Counselling
+91 8882400500
Global Certification
Terraform Course Projects in Seattle
Multi-Cloud
Deployment
Create Terraform configurations to provision identical infrastructure across multiple cloud providers such as AWS, Azure, and Google Cloud Platform. This project will help you understand how to leverage Terraform's multi-cloud support and manage resources in a heterogeneous cloud environment.
Highly Available Web Application
Design and deploy a highly available web application using Terraform. Configure load balancers, auto-scaling groups, database clusters, and other resources to ensure fault tolerance and scalability. Implement infrastructure as code best practices to manage the application's lifecycle.
Infrastructure Governance and Compliance
Implement infrastructure governance and compliance policies using Terraform to enforce security, compliance, and regulatory requirements. Define and enforce policies for resource tagging, access control, encryption, and configuration drift detection.
Container Orchestration with Kubernetes
Set up a Kubernetes cluster on a cloud provider using Terraform. Deploy and manage Kubernetes resources such as pods, services, and ingresses using Terraform configurations. Experiment with different deployment strategies and configurations to gain insights into Kubernetes orchestration.
Infrastructure Monitoring and Logging
Implement infrastructure monitoring and logging using Terraform and cloud-native services such as AWS CloudWatch, Azure Monitor, or Google Cloud Monitoring. Configure alerts, dashboards, and log sinks to monitor resource health, performance, and security.
Disaster Recovery (DR) Setup
Design and deploy a disaster recovery solution using Terraform to replicate infrastructure resources across regions or cloud providers. Configure automated failover mechanisms, data replication, and backup strategies to ensure business continuity and data resilience.
Microservices Architecture
Build a microservices architecture using Terraform to provision containerized services on a container orchestration platform such as Kubernetes or AWS ECS. Design modular Terraform configurations for each microservice and define service dependencies and communication channels.
Serverless Architecture
Explore serverless computing by using Terraform to provision serverless resources such as AWS Lambda functions, API Gateway endpoints, and DynamoDB tables. Build a serverless application that processes events, triggers functions, and stores data without managing servers or infrastructure.
Hybrid Cloud Deployment
Deploy a hybrid cloud infrastructure using Terraform to bridge on-premises data centers with public cloud environments. Configure hybrid networking, VPN connections, and hybrid cloud management tools to extend your infrastructure seamlessly across cloud and on-premises environments.
Continuous Integration and Delivery (CI/CD) Pipelines
Automate infrastructure deployment using Terraform within CI/CD pipelines. Integrate Terraform with version control systems, build tools, and deployment automation platforms to enable continuous delivery of infrastructure changes with automated testing and validation. These project ideas cover a range of scenarios and use cases that will allow you to apply Terraform's capabilities effectively and gain practical experience in infrastructure automation and management. Tailor these projects to your interests, expertise, and learning objectives to maximize their educational value.
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Redhat Linux System Administration - Roles and Responsibilities
L1 Tasks
1. Basic user account management (creating, modifying, and deleting users).
2. Password resets and account unlocks.
3. Basic file system navigation and management (creating, deleting, and modifying files and directories).
4. Basic troubleshooting of network connectivity issues.
5. Basic software installation and package management (installing and updating software packages).
6. Viewing system logs and checking for errors or warnings.
7. Running basic system health checks (CPU, memory, disk space).
8. Restarting services or daemons.
9. Monitoring system performance using basic tools (top, df, free).
10. Running basic commands to gather system information (uname, hostname, ifconfig).
L2 Tasks
1. Intermediate user account management (setting permissions, managing groups).
2. Configuring network interfaces and troubleshooting network connectivity issues.
3. Managing file system permissions and access control lists (ACLs).
4. Performing backups and restores of files and directories.
5. Installing and configuring system monitoring tools (Nagios, Zabbix).
6. Analyzing system logs for troubleshooting purposes.
7. Configuring and managing software repositories.
8. Configuring and managing system services (systemd, init.d).
9. Performing system updates and patch management.
10. Monitoring and managing system resources (CPU, memory, disk I/O).
L3 Tasks
1. Advanced user account management (LDAP integration, single sign-on).
2. Configuring and managing network services (DNS, DHCP, LDAP).
3. Configuring and managing storage solutions (RAID, LVM, NFS).
4. Implementing and managing security policies (firewall rules, SELinux).
5. Implementing and managing system backups and disaster recovery plans.
6. Configuring and managing virtualization platforms (KVM, VMware).
7. Performance tuning and optimization of system resources.
8. Implementing and managing high availability solutions (clustering, load balancing).
9. Automating system administration tasks using scripting (Bash, Python).
10. Managing system configurations using configuration management tools (Ansible, Puppet).
L1-L2 Transition Tasks
1. Learning basic shell scripting for automation tasks. 2. Understanding file system permissions and ownership. 3. Learning basic networking concepts (IP addressing, routing). 4. Learning how to use package management tools effectively. 5. Familiarizing with common Linux commands and utilities. 6. Understanding basic system architecture and components. 7. Learning basic troubleshooting techniques and methodologies. 8. Familiarizing with basic security principles and best practices. 9. Learning how to interpret system logs and diagnostic output. 10. Understanding the role and importance of system backups and restores.
L2-L3 Transition Tasks
1. Advanced scripting and automation techniques (error handling, loops).
2. Understanding advanced networking concepts (VLANs, subnetting).
3. Familiarizing with advanced storage technologies (SAN, NAS).
4. Learning advanced security concepts and techniques (encryption, PKI).
5. Understanding advanced system performance tuning techniques.
6. Learning advanced troubleshooting methodologies (root cause analysis).
7. Implementing and managing virtualization and cloud technologies.
8. Configuring and managing advanced network services (VPN, IDS/IPS).
9. Implementing and managing containerization technologies (Docker, Kubernetes).
10. Understanding enterprise-level IT governance and compliance requirements.
L3 Tasks and Beyond
1. Designing and implementing complex IT infrastructure solutions. 2. Architecting and implementing highly available and scalable systems. 3. Developing and implementing disaster recovery and business continuity plans. 4. Conducting security audits and vulnerability assessments. 5. Implementing and managing advanced monitoring and alerting systems. 6. Developing custom automation solutions tailored to specific business needs. 7. Providing leadership and mentorship to junior team members. 8. Collaborating with other IT teams on cross-functional projects. 9. Evaluating new technologies and making recommendations for adoption. 10. Participating in industry conferences, workshops, and training programs.
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