• What is Data Quality?
• Google trend report on DQ
• What is the scope of this DQ course?
• Why do we need DQ?
• Is DQ a Hype or is it Real?
• Where does Informatica stand (Compared to other competitors)?
• Google trend report on Competitors and comparison
• Naukri and Monster job openings
• Salary report from Indeed & Payscale
• A walk through on the course content.

• Short Informatica Data Quality Demo with a Real time Project
• Navigation
• What is the scope of Informatica Data Quality Training
• Important options and Shortcuts in the tool
• Types of Tools in Informatica Data Quality (Walkthrough)
• What’s the Architecture, SOA, Client server or Cloud
• Informatica Data Quality Cloud?

• Supported Systems (Is Windows, Linux, Mac supported)
• What is the Alternative it it’s not Supported(Virtualbox)
• Supported Databases
• Integration with other tools.
• Limitations

• GUI and login
• What are Mappings?
• Mapplets
• Transformations
• Content Sets
• Data Objects

• Reviewing information from the Analyst
• Comments/Tags
• Creating/adding to Reference tables

• Join Analysis Profiling
• Column Profiling
• Multi Object Profiling
• Mappings and transformations
• Mid-stream profiling
• Comparative profiling

• Cleanse, transform and parse data
• Develop data standardization mapplets and mappings

• Reusable AV Transformation
• AV Transformation Properties
• AV Inputs and Outputs
• Reusable AV Mapplet

• Grouping data
• Analyze Detail Report
• DQ Matching
• Cluster Analysis Report
• Matching Mapplets

• What is data Labelling?
• What is parsing and how to perform it.
• Different use cases

• Associate and Consolidate data

• Build Mappings to create and populate the DQA tables
• Perform manual Consolidation and Bad Record Management

• Run DQ Mappings in PowerCenter

• Import Projects using both Basic and Advanced methods
• Export Projects

• How to use Parameters in Data Quality mappings, transformations and reference tables

• What content is available with IDQ9?
• Content Management Service
• Accelerators
• Core Accelerator

• Project Overview
• How to configure an End to end real-time project.
• Project Guidance
• Project Submission and Verification

• Functional Q&A
• Technical Q&A
• Project Q&A (For Multiple Domains like Banking, Retail, Insurance, Ecommerce etc)
• Question for Fresher’s and Experienced (How do they differ?)
• How to justify if the resource is not certified.

• How difficult is it to clear the certifications
• Levels of certification
• How to register for them(Technical details)
• Can I apply for certification if my company is not a partner
• If not, what is the alternative
• Certification Mock Q&A discussion

• What’s a Best resume
• What if my resume is worst
• How to prepare a great resume
• Should I be on LinkedIn, Of course Yes
• Providing Photo, Facebook, LinkedIn, Twitter Links in a Resume
• Create Blog, Quora, Stackexchange etc and provide the links in resume.
• SEO in Naukri (how to be on the Top)
• Creating Multiple Profiles in case you need a job urgently(Naukri lookhole)
• Floating your resume in Monster, indeed, Shine etc.
• How to Search for Job providers and jobs in linkedIn
• Aggressive Follow, that’s what counts

• How can we support you if you are in a project
• Can we help you in a disaster recovery process
• How to be in touch with my colleagues and experts

• What are Suite Script API’s?
• How to use NetSuite help for Suitscript
• API’s, Governance and Scripting best practices
• Governance limit for all Scripts.
• Record Browser and API documentation
• Scripting templates.
• Best Practices document.
• Client Script
• Client Script Execution (Form level & Record level)

• Running a Client Script in NetSuite
• User Event Script
• User Event Script Execution
• Type argument & its importance
• User Event Script functions
• Running user event in NetSuite
• Difference between client & User Event scripts
• Suitelet Script
• What Is Suitelet Script and why do we use it?
• Suitelet Types

• Linking Suitelet with Client script
• Schedule Script
• Schedule Script overview
• Schedule Script API
• Execution process
• RESTlet Script
• What Is RESTlet and why do we use it?
• Different ways of calling RESTlet
• Tools available for testing RESTlet
• Differences between Suitelet and RESTlet Script

• Use Portlet Script
• Scripting Portlet types
• Search Portlets.
• Workflow Action Script
• What is Workflow Action Script & why do we use it?
• Difference between Workflow Action Script & User Event script.
• What is Workflow Action Script & why do we use it?
• Difference between Workflow Action Script & User Event script

• What is Mass Update Script and how to use it?
• Differences between Mass Update script and Workflow action script
• Below Points will be discussed in each script type
• Supported Record Types.
• Script functions.
• Script usage limit.
• Deployment status in script

• Script Parameters
• Script Limitations
• Debugging techniques
• Research/tasks on scripts
• Realtime Scenarios – NetSuite Training
• Taking few Realtime requirements
• Working on design and customizations What is Suite Script?

• What is Data Quality?
• Google trend report on DQ
• What is the scope of this DQ course?
• Why do we need DQ?
• Is DQ a Hype or is it Real?
• Where does Informatica stand (Compared to other competitors)?
• Google trend report on Competitors and comparison
• Naukri and Monster job openings
• Salary report from Indeed & Payscale
• A walk through on the course content.

• Short Informatica Data Quality Demo with a Real time Project
• Navigation
• What is the scope of Informatica Data Quality Training
• Important options and Shortcuts in the tool
• Types of Tools in Informatica Data Quality (Walkthrough)
• What’s the Architecture, SOA, Client server or Cloud
• Informatica Data Quality Cloud?

• Supported Systems (Is Windows, Linux, Mac supported)
• What is the Alternative it it’s not Supported(Virtualbox)
• Supported Databases
• Integration with other tools.
• Limitations

• GUI and login
• What are Mappings?
• Mapplets
• Transformations
• Content Sets
• Data Objects

• Reviewing information from the Analyst
• Comments/Tags
• Creating/adding to Reference tables

• Join Analysis Profiling
• Column Profiling
• Multi Object Profiling
• Mappings and transformations
• Mid-stream profiling
• Comparative profiling

• Cleanse, transform and parse data
• Develop data standardization mapplets and mappings

• Reusable AV Transformation
• AV Transformation Properties
• AV Inputs and Outputs
• Reusable AV Mapplet

• Grouping data
• Analyze Detail Report
• DQ Matching
• Cluster Analysis Report
• Matching Mapplets

• What is data Labelling?
• What is parsing and how to perform it.
• Different use cases

• Associate and Consolidate data

• Build Mappings to create and populate the DQA tables
• Perform manual Consolidation and Bad Record Management

• Run DQ Mappings in PowerCenter

• Import Projects using both Basic and Advanced methods
• Export Projects

• How to use Parameters in Data Quality mappings, transformations and reference tables

• What content is available with IDQ9?
• Content Management Service
• Accelerators
• Core Accelerator

• Project Overview
• How to configure an End to end real-time project.
• Project Guidance
• Project Submission and Verification

• Functional Q&A
• Technical Q&A
• Project Q&A (For Multiple Domains like Banking, Retail, Insurance, Ecommerce etc)
• Question for Fresher’s and Experienced (How do they differ?)
• How to justify if the resource is not certified.

• How difficult is it to clear the certifications
• Levels of certification
• How to register for them(Technical details)
• Can I apply for certification if my company is not a partner
• If not, what is the alternative
• Certification Mock Q&A discussion

• What’s a Best resume
• What if my resume is worst
• How to prepare a great resume
• Should I be on LinkedIn, Of course Yes
• Providing Photo, Facebook, LinkedIn, Twitter Links in a Resume
• Create Blog, Quora, Stackexchange etc and provide the links in resume.
• SEO in Naukri (how to be on the Top)
• Creating Multiple Profiles in case you need a job urgently(Naukri lookhole)
• Floating your resume in Monster, indeed, Shine etc.
• How to Search for Job providers and jobs in linkedIn
• Aggressive Follow, that’s what counts

• How can we support you if you are in a project
• Can we help you in a disaster recovery process
• How to be in touch with my colleagues and experts

• Identify the challenges in identity governance and compliance
• Identify the key features and benefits of CA Identity Governance

• Identify the key concepts in CA Identity Governance
• Identify the CA Identity Governance interface components

• Identify the import data file formats
• Import and export configuration data
• Merge and enrich configuration data
• Import data in batch

• Conduct a visual‐based cleanup of the configuration data
• Perform pattern‐based audits
• Resolve the unique user ID challenge

• Describe the role engineering process
• Discover role candidates
• Create roles manually

• Enforce policy compliance using business process rules
• Perform compliance verification
• Run compliance reports

• Run a certification campaign to verify that privileges comply with business and regulatory

requirements

• Control role and resource assignments for yourself and your team
• Request a new or changed role definition

• Identify the reporting features of CA Identity Governance
• Identify the types of dashboards in CA Identity Governance

• Introduction to terraform
• Infrastructure Automation
• Install Terraform
• Providers
• Resources
• Basic Syntax
• Exercise: Your First Script main.tf

• Terraform Plan, show, Apply, Destroy
• Exploring Terraform Registry
• Interpolation
• Tainting and Updating Resources
• Terraform Console and Output
• Terraform Variables
• Breaking Out Our Variables and Outputs
• Lab exercises: Breaking down main.tf into variables.tf, output.tf,

• Introduction to Modules
• Module repositories
• First Basic Module
• The Module codes
• Main Terraform Code
• Using git repositories to save modules
• Lab exercises: Modules for Docker
• Lab exercises: The Docker Image Module
• Lab exercises: Modules the Container Module
• Lab exercises: Modules – The Root Module

• Maps and Lookups
• Terraform Workspaces
• Breaking Out Our Variable Definitions
• Null Resources and Local-Exec
• Terraform Console

• Setting up the system for AWS
• AWS Storage: The S3 Bucket and Random ID
• AWS Storage: The Root Module
• AWS Compute: AMI Data, Key Pair, and the File Function
• AWS Compute: The EC2 Instance
• AWS Compute: User Data and Template Files
• AWS Compute: The Root Module

• Remote state
• Data Sources
• Templates
• Conditionals
• Built-in Functions
• Working with state files
• Outputs, count and Join Function

• Adding S3 backend
• Integration with Git
• Packer introduction
• Terraform with Packer
• Terraform with Jenkins
• Terraform Formatting and Remote State
• Terraform RandomID and S3 Buckets

• AWS Networking: VPC, IGW, and Route Tables
• AWS Networking: Subnets, Security, and the Count Attribute
• AWS Networking: The Root Module

• Terraform Plan revisited
• Debugging the script
• Terraform Testing
• Lab: Writing test scripts for Terraform.
• Lab: Testing with Docker

• Terraform with Azure cloud
• Terraform with Google Cloud
• Terraform Templates
• Terraform plugins
• Integrating Go Plugins

• Best practices in writing terraform scripts
• Terraform Workflow
• Terraform projects
• Other Hashicorp tools
• New features of Terraform

• Introduction to terraform
• Infrastructure Automation
• Install Terraform
• Providers
• Resources
• Basic Syntax
• Exercise: Your First Script main.tf

• Terraform Plan, show, Apply, Destroy
• Exploring Terraform Registry
• Interpolation
• Tainting and Updating Resources
• Terraform Console and Output
• Terraform Variables
• Breaking Out Our Variables and Outputs
• Lab exercises: Breaking down main.tf into variables.tf, output.tf,

• Introduction to Modules
• Module repositories
• First Basic Module
• The Module codes
• Main Terraform Code
• Using git repositories to save modules
• Lab exercises: Modules for Docker
• Lab exercises: The Docker Image Module
• Lab exercises: Modules the Container Module
• Lab exercises: Modules – The Root Module

• Maps and Lookups
• Terraform Workspaces
• Breaking Out Our Variable Definitions
• Null Resources and Local-Exec
• Terraform Console

• Setting up the system for AWS
• AWS Storage: The S3 Bucket and Random ID
• AWS Storage: The Root Module
• AWS Compute: AMI Data, Key Pair, and the File Function
• AWS Compute: The EC2 Instance
• AWS Compute: User Data and Template Files
• AWS Compute: The Root Module

• Remote state
• Data Sources
• Templates
• Conditionals
• Built-in Functions
• Working with state files
• Outputs, count and Join Function

• Adding S3 backend
• Integration with Git
• Packer introduction
• Terraform with Packer
• Terraform with Jenkins
• Terraform Formatting and Remote State
• Terraform RandomID and S3 Buckets

• AWS Networking: VPC, IGW, and Route Tables
• AWS Networking: Subnets, Security, and the Count Attribute
• AWS Networking: The Root Module

• Terraform Plan revisited
• Debugging the script
• Terraform Testing
• Lab: Writing test scripts for Terraform.
• Lab: Testing with Docker

• Terraform with Azure cloud
• Terraform with Google Cloud
• Terraform Templates
• Terraform plugins
• Integrating Go Plugins

• Best practices in writing terraform scripts
• Terraform Workflow
• Terraform projects
• Other Hashicorp tools
• New features of Terraform