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Informatica Cloud Platform Architecture
Informatica Cloud is a suite of cloud data management
services designed to manage, integrate, and visualize data from various
sources, both on-premises and in the cloud. Here’s a detailed look at its
architecture and components: Informatica
Online Training
Architecture Overview
Informatica Cloud’s architecture is designed to support
scalable, flexible, and secure data integration and management. Its core
components include:
1. Informatica Cloud Services: This platform's backbone provides a
multi-tenant, metadata-driven architecture that supports various data
integration and management activities.
2. Secure Agent: A lightweight, self-upgrading
runtime engine that runs tasks and connects with different data sources. It
ensures secure communication between on-premises and cloud environments.
3. Informatica Cloud Application
Integration:
Facilitates real-time integration and API management, enabling synchronous and
asynchronous integration patterns. Informatica
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4. Informatica Cloud Data Integration: Allows for batch and real-time data
integration, supporting complex data transformations, data quality, and data
masking.
5. Informatica Cloud Data Quality: Ensures that the data being
integrated and managed meets the required quality standards through profiling,
cleansing, matching, and monitoring.
6. Informatica Cloud MDM (Master Data
Management):
Provides a single, trusted view of business-critical data across the
enterprise, enhancing data quality and consistency.
Core Components
1. Informatica Intelligent Cloud
Services (IICS): A
comprehensive suite of cloud data management services that includes tools for
data integration, data quality, application integration, and more. IICS
is built on a microservices architecture, ensuring scalability and flexibility.
2. Secure Agent:
o Data Integration Agent: Executes data integration tasks and
connects to data sources.
o Application Integration Agent: Manages real-time data flows and
API integration.
o Data Quality Agent: Runs data profiling and cleansing
tasks.
3. Cloud Data Integration:
o Mappings and Tasks: Define how data is moved and
transformed from source to target.
o Mapping Configuration Tasks: Configure specific mapping tasks to
run on different schedules or events.
o Data Synchronization Tasks: Synchronize data between sources
and targets in real-time or batch mode.
o Data Replication Tasks: Replicate data from one source to
another, maintaining data integrity. Informatica
Cloud Data Integration Training
4. Cloud Application Integration:
o Process Designer: A visual tool to design business processes and integrations.API Manager: Manages and monitors APIs, providing secure and scalable access to data and services.
5. Cloud Data Quality:
o Data Profiling: Analyzes data to identify quality
issues.
o Data Cleansing: Corrects data quality issues
through standardization and validation.
o Data Matching: Identifies duplicate records and
merges them to ensure data consistency.
6. Cloud Master Data Management:
o Entity 360: Provides a 360-degree view of
master data entities.
o Data Governance: Ensures compliance with data
policies and standards.
o Data Stewardship: Manages data quality and governance
processes.
7. Cloud Integration Hub:
o Data Integration Hub: Centralizes and orchestrates data
integration flows, supporting both batch and real-time integration.
Key Benefits
1. Scalability: The platform can scale to handle
large volumes of data and complex integration scenarios.
2. Flexibility: Supports a wide range of data
sources and integration patterns, including batch, real-time, and event-driven.
3. Security: Provides robust security
features, including encryption, secure communication, and role-based
access control.
4. Ease of Use: User-friendly interfaces and tools
simplify the design, deployment, and management of data integration tasks.
5. Automation: Supports automation of data
workflows, reducing manual intervention and improving efficiency. IICS
Training in Hyderabad
In summary, Informatica Cloud offers a comprehensive,
scalable, and secure platform for data integration, quality, and management,
supporting both cloud and on-premises environments. Its architecture and
components are designed to address the diverse needs of modern data-driven enterprises.
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