Informatica IICS (Informatica Intelligent Cloud Services) Training
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Learners : 1080
About Course
A data integration platform and solution is known as Software as a Service (SaaS), Informatica IICS Cloud. Databases, flat files, file feeds, on-premises, cloud-based apps, and even social networking sites can all be accessed through Informatica Cloud connections. The organization can utilize Informatica Cloud Data Integration to assist with international, distributed data warehouse and analytics initiatives.
Informatica IICS Training Course Syllabus
✔ Informatica Cloud
✔ Object Synchronization
✔ Process Synchronization
✔ Data Replication
✔ Informatica Cloud Applications
✔ Informatica Cloud – Key Terms
✔ Informatica Cloud Architecture
✔ Informatica Cloud Secure Agent
✔ Informatica Secure Agent Architecture
✔ Running Agent as Local/Network User
✔ Connection Properties
✔ Connection types
✔ Configuring a connection
✔ Creating a Salesforce.com Connection
✔ Creating a Flat File Connection
✔ Data Synchronization application
✔ Data Synchronization Operations
✔ Field Information
✔ Data Replication App Overview
✔ Data Replication Features and Benefits
✔ Data Replication Source and Target Options
✔ Other Data Replication Task Options
✔ Resetting the Target Table
✔ Cloud Mapping Designer use cases
✔ Mapping Lifecycle
✔ Transformations in Cloud Mapping Designer
✔ Mapping Validation
✔ Creating a Simple Mapping using a Source, Filter, and Multiple Targets
✔ Joiner, Expression, and Lookup transformations
✔ Field Rules: Renaming Fields, Selection Criteria
✔ Creating a Mapping using the Lookup and Expression Transformations
✔ Aggregator Transformation Overview
✔ Aggregator Transformation – Source and Target
✔ Normalizer Transformation
✔ Normalized Fields
✔ Lookup Transformation
✔ Unconnected Lookup
✔ Data Filter
✔ Simple and Advanced Data Filter
✔ System Variables in a Data Filter
✔ Incremental Processing
✔ Field Expression
✔ Mapping Task
✔ Parameterization use cases
✔ Adding Parameters to a Mapping
✔ Parameter Types
✔ Parameter Panel and Best Practices
✔ Mapping Updates and Deployment
✔ Creating, testing, and running a Mapping Task
✔ Pre and Post-Processing Commands
✔ Operating System Commands
✔ Parameter File
✔ Setting Up a Parameter File
✔ Schedules
✔ Schedule Repeat Frequency
✔ Repeat Frequency Options
✔ Schedule Blackout Period
✔ Email Notifications
✔ Linear Task flow Overview
✔ Tasks included in a Linear Task flow
✔ Properties of a Linear Task flow
✔ Scheduling a Task flow
✔ What is a Taskflow?
✔ Task flow Steps
✔ Task flow Templates
✔ SQL Overrides in Lookups
✔ Lookup SQL Override Attributes
✔ Pre and Post SQL commands
✔ Multiple Object Source Type
✔ Salesforce Objects – Options
✔ Salesforce Data Model and ERDs
✔ Saved Queries
✔ Purpose of the external ID
✔ External ID fields in Salesforce.com
✔ Foreign Keys
✔ Salesforce ID
✔ Relationships – Master-Detail relationship
✔ Relationships – Lookup relationship
✔ Force.com
✔ Workbench
✔ Data Loader
✔ Mapping, Sync, and Replication task for SFDC
✔ Data Synchronization Operations – IDs
✔ Lookup Overview
✔ Configuring a Lookup
✔ Lookup Best Practices
✔ Hierarchical Schemas
✔ Hierarchy Parser Transformation
✔ Hierarchy Builder Transformation
✔ Web Services and REST Web Services
✔ Parameters of REST Web Service Message
✔ Web Service Transformation
✔ Using Web Service Transformation in a mapping
✔ What is a REST API?
✔ Informatica Cloud REST API
✔ Partitions
✔ Types of Partitioning
✔ Partitioning Rules and Guidelines
✔ Secure Agent Groups with Multiple Agents
✔ Discovery IQ Overview
✔ Discovery IQ Features
✔ Parameterization
✔ Use case and solution
✔ Advanced Parameterization
✔ Parameterization technique in a mapping
✔ Custom Roles
✔ Asset Level Permissions
✔ Rules and Guidelines for Permissions
✔ Project or Folder Access Using User Groups
✔ Administrative settings for the organization
✔ User Roles
✔ User Groups
✔ Object-level permissions
✔ Organization hierarchy
✔ Migrating Assets
| Live Instructor Based Training With Software |
| Lifetime access and 24×7 support |
| Certification Oriented content |
| Hands-On complete Real-time training |
| Get a certificate on course completion |
| Flexible Schedules |
| Live Recorded Videos Access |
| Study Material Provided |
Informatica IICS Training - Upcoming Batches
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Informatica IICS Training FAQ'S
Developers may access development, administration, and job monitoring in one location using the web interface provided by Informatica IICS Cloud, an on-demand integration and ETL platform. It makes it possible for developers to create solutions that execute ETL operations between cloud and on-premise platforms.
Utilizing Informatica IICS Cloud is primarily intended to address the issue of data integration, which is extremely likely to arise when data is transferred from traditional architecture to cloud-based architecture. Utilizing Informatica cloud, one may manage fragmented data that is both within and outside of the firewall.
By learning Informatica IICS through VISWA Online Trainings, advance in your job.
The web version of Informatica PowerCenter, Informatica IICS Cloud, makes use of PowerCenter’s capabilities to offer a web-based application for all functionalities. The Cloud Designer is one of the applications offered by Informatica Cloud. Additionally, Informatica Cloud is able to offer more sophisticated data integration capabilities on the cloud. Dynamic Field Propagation, where logical rules are used to propagate fields instead of always manually propagating them, and Parameterized Templates, where a developer can use parametrized value so that the mappings can be reused in other scenarios, are two additional features we have on the cloud.
One may compare cloud designers to a PowerCenter designer alternative. Theoretically similar to how PowerCenter mappings are configured, mappings may be easily configured using Cloud designer. Data may be transformed in Cloud designers utilising transformations like Expression transformation, Filter transformation, and many other similar ones.
There are many different types of transformation that can be used to transform data, including the expression transformation used for calculations at the row level, the filter transformation used to remove data from the flow itself, the joiner transformation used to join data, and the lookup transformation used to look at a source while omitting the pertinent data.
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