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ADVANCED QLIKVIEW WITH QLIKSENSE TRAINING IN BANGALORE
QlikView is a leading Business Discovery Platform. It is very powerful in visually analyzing the relationships between data. It does in-memory data processing and stores the data in the report itself that it creates. It can read data from numerous sources including files and relational databases. It is used by businesses to get deeper insight by doing advanced analytics on the data they have. It even does data integration by combining data from various sources into one QlikView analysis document
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Course completion certificate and Global Certifications are part of our all Master Program
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Weekend / Weekdays / Morning / Evening Batches
80:20 Practical and Theory Ratio
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Course completion certificate and Global Certifications are part of our all Master Program
Self Paced Training
Self Paced Learning
Learn 300+ Courses at Your Own Time
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Course Completion Certificate
Practical Labs Available
Mentor Support Available
Doubt Clearing Session Available
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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
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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
Advanced Qlikview With Qliksense Course Syllabus
Datawarehousing concepts
- Flow of Business Intelligence as a practice and overview of the tools in the market achieving them
- Facts , Dimensions and their distribution over the datawarehouse
- Issues faced in datawarehouse owing to incorrect modelling and scaling of data
- Schema modelling
- Joins and concatenation problems.
- Key relationships
QlikView as a tool
- Comparison over the traditional BI tools
- Principles behind associative modelling
- How QlikView treats the data and models them as per it’s in memory conventions
- Configuring Density Ratio and subset ratio to identify the table and fact structures
QlikView as Datamart ETL
- Types of loads ( Preceding, Partial, Binary, Incremental)
- Coding conventions and scripting features of QlikView
- Debugging the script
- Creating QVD’s along with their usage and drawbacks
- Creating runtime tables using pre-calculated functions and ETL functions
- Cleansing of data to create data model over QV scripting
QlikView as a Reporting and Visualization
- Overview of all the components and their features
- Recommending look and feel to the end user expectations
- Applying security modules to the QV layouts
- Tweaking the components to achieve the desired look and feel of dashboarding
- Creating scorecards and KPI’s
Restricting QV associative behavior
- Implementing alternate states
- Creating sets and restricting the data behavior as per user and KPI needs.
- Dynamically changing the colors of the layout as per logics and predefined functions.
Implementing QlikView from the end users perspective
- Inserting buttons and actions as per the features to drive end user requirements
- Scenarios of end users expectations by implementing user response actions.
- Section access for security.
- Creating out of box Visualizations.
- Driving users experience over the charts and their features.
Deploying the QV application over Access point
- Visual science behind creating QV dashboards
- Factors to be considered before deployment
- Best practices for coding and designing the script layout for performance tuning
NOTE
- The Scripting features are vast and scenario based approaches to the user demands and will be taken very elaborately with creating scorecards and metrics as a practice of dashboards.
- The designer sides has multiple properties which will be highlighted when creating the dashboards and as per the look and feel desired to the end user.
- Performance tuning will be a part of ETL and scripting methodologies which will be implemented in the training
- An overview of QlikSense and Tableau will be a part of the course
Free Career Counselling
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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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Advanced Qlikview With Qliksense Course reviews
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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