Informatica IICS (Informatica Intelligent Cloud Services) Certification Online Training
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Learners : 1080
Duration : 30 Days
About Course
Informatica IICS Cloud is a data integration solution and platform that works as Software as a Service (SaaS). Informatica Cloud can connect to on-premises, cloud-based applications, databases, flat files, file feeds, and even social networking sites.
Informatica Cloud Data Integration is the cloud-based Power Center, which delivers accessible, trusted, and secure data to facilitate more valuable business decisions. Informatica Cloud Data Integration can help the organization with global, distributed data warehouse and analytics projects.
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 |
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Informatica IICS Training FAQ'S
Informatica Cloud is an on-demand integration and ETL platform offering through a web interface so that developers can access development, administration, and monitoring of the tasks through one place in web interface. It enables developers to build solutions which carry out ETL processes between cloud and on-premise solution.
The main intent of using Informatica Cloud is to solve the data integration problem which is very likely to happen in cases when data is moved from legacy architecture to cloud-based architecture. Using Informatica cloud one can also solve the problem of managing fragmented data lying within and outside the firewall.
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Informatica Cloud is the web version of Informatica PowerCenter and utilizes the capability of PowerCenter to provide a web-based application for all the functionalities. One of the applications provided by Informatica Cloud is the Cloud designer. Not only that Informatica Cloud has the capability to deliver more advanced data integration capability on the cloud. Some extra features we have on the cloud are, Dynamic Field propagation, where logical rules are used for propagating fields instead of always manually propagating them, the next is about parameterized templates, where a developer can utilize parametrized value so that the mappings can be reused in other scenarios as well.
Cloud designers can be thought about as a counterpart version of PowerCenter designer. Using Cloud designer, one can easily configure mappings which are theoretically similar to how PowerCenter mappings are configured. In Cloud designers, one can also transform data by using transformation like Expression transformation, Filter transformation, and many such others.
One can use many types transformation to carry out transformation in the data and they are, Expression transformation used for calculations at row level, filter transformation for filtering out data in the flow itself, Joiner transformation to create joins in data and finally the lookup transformation to look at a source, source qualifier, forgetting the relevant data.