MSBI is a powerful software package that provides a solution for Business Intelligence and Data Mining Queries. MSBI empowers its users with real-time information that is precise and lays the foundation for informed and decisive decision making.
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Course Benefits
- MSBI (SSIS, SSRS, and SSAS) Certification allows storing and retrieving data for smart processing and rapid decisions in business.
- This Business Intelligence suite from Microsoft consists of resourceful tools providing best solutions for Business Intelligence.
Designations
- ALL COMBO COURSES
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WhyTerraform ?
Multi-Cloud Support
Declarative Configuration
Resource Graph
Modularity and Reusability
State Management
Plan and Apply Workflow
Extensibility
About your Terraform Certification Course
Terraform Skills Covered
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State Management
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Terraform Modules
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Dependency Management
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Terraform CLI
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Terraform Configuration Language (HCL)
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Infrastructure as Code (IaC) Principles
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Resource Provisioning
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Terraform Providers
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Terraform Workspaces
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Terraform Best Practices
Curriculum Designed by Experts
MSBI Course Syllabus
Introduction to SQL Server Integration Services
- Â Datawarehousing Basics
- Â Product History
- Â SSIS Package Architecture Overview
- Â Development and Management Tools
Business Intelligence Development Studio
- Â Launching BIDS
- Â Project templates
- Â The package designer
- Â The Toolbox
- Â Solution Explorer
- Â The Properties window
- Â The Variables window
- Â The SSIS menu
Introduction to Control Flow and Data Flow
- Control Flow Overview
- precedence Constraints
- The Execute SQL Task
- The Bulk Insert Task
- The File System Task
- The FTP Task
- The Send Mail Task
- Containers – grouping and looping
- The Web Service Task
- The WMI tasks
- The Analysis Services tasks
- The Execute Process Task, Execute Package Task
- Data Flow Overview
- Data Sources
- Data Destinations
- Data Transformations
- The Copy Column Transformation
- The Derived Column Transformation
- The Data Conversion Transformation
- The Conditional Split Transformation
- The Aggregate Transformation
- The Sort Transformation
- Data Viewers
Variables and Configurations
- Variables Overview
- Variable scope
- SSIS system variables
- Using variables in control flow
- Using variables in data flow
- Using variables to pass information between packages
- Property expressions
- Configuration Overview
- Configuration options
- Configuration discipline
Debugging, Error Handling and LoggingÂ
- SSIS debugging overview
- Breakpoints in SSIS
- SSIS debugging windows
- Control Flow: The OnError event handler
- Data Flow: Error data flow
- Configuring Package Logging
- Built-in log providers
SSIS Using SQL Server Management Studio
- The Import and Export Wizard
- Importing and Exporting Data
- Scheduling and Executing Plans
Advanced Data Flow
- Revisiting data sources and destinations
- The Lookup Transformation
- Getting Fuzzy: The Fuzzy Lookup and Fuzzy Grouping Transformations
- The Multicast Transformation
- The Merge and Merge Join Transformations
- The Slowly Changing Dimension Transformation
- Transaction Handling in SSI
- Check Point configurations
Introduction to SSIS scripting
- The SSIS script editor
- The SSIS object model
- Script in Control flow: The Script Task
- Script in Data flow: The Script Component
- Introduction to SSIS component development
SSIS Package Deployment
- Configurations and deployment
- The deployment utility
- Deployment options
- Deployment security
- Executing packages – DTExec and DTExecUI
SSIS Package Management
- The SSIS Service
- Managing packages with DTUtil
- Managing packages with SQL Server Management Studio
- Scheduling packages with SQL Server Agent
Introduction to Microsoft SQL Server Analysis Services
Overview of SQL Server Analysis Services
Installing SQL Server Analysis Services
OLAP Modeling
- Modeling source schemas—stars and snowflakes
- Understanding dimensional modeling— Dimensions (Type 1, 2, or 3) or rapidly changing
- Understanding fact (measures) and cube modeling
- Other types of modeling—data mining etc…
Understanding the development environment
- Creating Data Sources and Data Source Views
- Configuring Dimensions
- Defining Attribute Hierarchies
- Sorting and Grouping Attribute
- Creating cubes
- Refining Dimensions and Measures in BIDS
Intermediate SSAS
- KPIs
- Perspectives
- Translations – cube metadata and currency localization
- Partitions
- Storage topics – basic aggregations, MOLAP, ROLAP, HOLAP
- Aggregations
MDX
- Using the MDX query editor in SQL Server Management Studio
- Most-used Functions & Common tasks
- New MDX functions
Security
- Securing a cube
Deployment and processing the CUBE
Â
Introduction to SQL Server Reporting Services
Tour of Features
Reporting Services Architecture
Reporting Services Terminology
Reporting Services Editions
Taking Reporting Services for a Spin
Creating Reports
Deconstructing Reporting Services
Shared Data Sources
Creating Reports from Scratch
Calculations and Formatting
Creating Expressions
Using the Global Collections
Formatting Items
Conditional Formatting
Â
Grouping and Sorting
Creating Groups
Calculating Totals and Percentages
Interactive Sorting
Creating Drill-Down Reports
Report Parameters
Creating Report Parameters
Creating Drop-Down Parameters
Multi-Valued Parameters
Debugging Parameter Issues
Creating Matrix Reports and Charts
Creating a Basic Matrix Report
Matrix Subtotals
Creating a Basic Chart
Exploring the Charting Possibilities
Managing Reporting Services
Deploying Reports and Data Sources
Exporting Reports and Printing
Using the Web-Based Report Manager
Using SQL Server Management Studio-based Reporting Services Manager
Reporting Services Security
Two Parts to Reporting Services Security
Securing Access to Reports
Data Source Security
Programming Reporting Services
The Many Reporting Services APIs
Integrating Reporting Services into Applications using URL Access
Using the Report Viewer Controls
Advanced Reporting Services Programming
Using the Reporting Services Web Service
Working with Custom Assemblies
Snapshots and Subscriptions
Caching and Snapshots
Creating Standard Subscriptions
Creating Data-Driven Subscriptions
Managing Subscriptions
Ad-Hoc Reporting with Report Builder
The Report Builder Architecture
Creating Report Model Projects
Running Report Builde
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Deployment
Highly Available Web Application
Infrastructure Governance and Compliance
Container Orchestration with Kubernetes
Infrastructure Monitoring and Logging
Disaster Recovery (DR) Setup
Microservices Architecture
Serverless Architecture
Hybrid Cloud Deployment
Continuous Integration and Delivery (CI/CD) Pipelines
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Solution for BigData Problem
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Open Source Technology
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Based on open source platforms
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Contains several tool for entire ETL data processing Framework
-
It can process Distributed data and no need to store entire data in centralized storage as it is required for SQL based tools.
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Solution for BigData Problem
-
Open Source Technology
-
Based on open source platforms
-
Contains several tool for entire ETL data processing Framework
-
It can process Distributed data and no need to store entire data in centralized storage as it is required for SQL based tools.
-
Solution for BigData Problem
-
Open Source Technology
-
Based on open source platforms
-
Contains several tool for entire ETL data processing Framework
-
It can process Distributed data and no need to store entire data in centralized storage as it is required for SQL based tools.
Redhat Linux Certification Course reviews
I had undergone oracle DBA course under Chetan sir's Guidance an it was a very good learning experience overall since they not only provide us with theoretical knowledge but also conduct lot of practical sessions which are really fruitful and also the way of teaching is very fine clear and crisp which is easier to understand, overall I had a great time for around 2 months, they really train you well.also make it a point to clear all your doubts and provide you with clear and in-depth concepts hence hope to join sometime again
I have completed Oracle DBA 11g from Radical technology pune. Excellent trainer (chetna gupta). The trainer kept the energy level up and kept us interested throughout. Very practical, hands on experience. Gave us real-time examples, excellent tips and hints. It was a great experience with Radical technologies.
Linux learning with Anand sir is truly different experience... I don't have any idea about Linux and system but Anand sir taught with scratch...He has a great knowledge and the best trainer...he can solve all your queries related to Linux in very simple way and giving nice examples... 100 to Anand Sir.
I had a wonderful experience in Radical technologies where i did training in Hadoop development under the guidance of Shanit Sir. He started from the very basic and covered and shared everything he knew in this field. He was brilliant and had a lot of experience in this field. We did hands on for every topic we covered, and that's the most important thing because honestly theoretical knowledge cannot land you a job.
I have recently completed Linux course under Anand Sir and can assuredly say that it is definitely the best Linux course in Pune. Since most of the Linux courses from other sources are strictly focused on clearing the certification, they will not provide an insight into real-world server administration, but that is not the case with Anand Sir's course. Anand Sir being an experienced IT infrastructure professional has an excellent understanding of how a data center works and all these information is seamlessly integrated into his classes.
Redhat Linux System Administration - Roles and Responsibilities
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).
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).
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).
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.
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.
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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- Join our Brushup Session out Support until You find Job
Get Experience Of 4+ Years
- Projects
- Real Time Protection
- Assignments
-
Solution for BigData Problem
-
Open Source Technology
-
Based on open source platforms
-
Contains several tool for entire ETL data processing Framework
-
It can process Distributed data and no need to store entire data in centralized storage as it is required for SQL based tools.
-
Solution for BigData Problem
-
Open Source Technology
-
Based on open source platforms
-
Contains several tool for entire ETL data processing Framework
-
It can process Distributed data and no need to store entire data in centralized storage as it is required for SQL based tools.
-
Solution for BigData Problem
-
Open Source Technology
-
Based on open source platforms
-
Contains several tool for entire ETL data processing Framework
-
It can process Distributed data and no need to store entire data in centralized storage as it is required for SQL based tools.