Cloud Data Integration & Engineering

Easy, Efficient, Cost-Effective Cloud Integration for Everyone, Everywhere

Get started with Data Integration Advanced

CLAIRE Co-Pilot for Data Integration

Why Best

28% productivity gain with recommendations and automation provided based on rich metadata-driven intelligence
65% cost reduction with FinOps-powered runtime recommendation and optimized resource utilization
Gen AI-powered prompt-based pipeline generation for accelerated development.

Solution Capabilities

Easy:

Build pipelines easily with CLAIRE-powered transformation recommendation, auto-mapping, parsers, and more

Efficient:

Maximize the cost-performance aspect of pipelines with auto-tuning, auto-scaling, schema drift, dynamic mappings, and more

Cost-effective:

FinOps-powered engine selection and runtime optimization for cost-efficient executions.

Whitepaper

ModelServe

Why Best

Deploy and operationalize just about any AI/ML model at scale with simple, wizard-driven approach
Provide flexibility in building AI/ML models in most frameworks and consume them in just about any application
Accelerate AI/ML initiatives with high-quality, trusted, and governed data
Enhance AI/ML model performance with timely delivery of trusted data using integrated DataOps

Solution Capabilities

Easy:

Data scientists build their models using AI/ML frameworks like Python, TensorFlow, Spark ML, Keras, etc., and register the models seamlessly.

Efficient:

Data scientists can deploy the AI/ML models in a serverless environment in minutes (versus days or weeks) without worrying about model provisioning infrastructure.

Cost-Effective:

Monitor the performance of the deployed model in a single pane of glass, identify inconsistencies, and take the right action.

Please see the resources below:

Video Link

Data Sheet

Whitepaper

Documentation

INFAConnect

Informatica as Azure Native ISV Service

INFACore

Why Best

Design robust data applications independent of any cloud ecosystem or programming language
Boost developer productivity with software development kits (SDKs) and extensions for popular integrated development environments (IDEs)
Leverage rapid prototyping with out-of-the-box features for complex data integration tasks

Solution Capabilities

Easy:

INFACore provides out-of-the-box options for accessing data using native connectors, and simple functions for advanced data transformations and pipeline needs.

Resources

Efficient:

With INFACore, developers do not need to refer to documentation to use a particular capability. Instead, the plug-in (a Jupyter lab extension in this instance) can capture user intent and auto-write the code based on their needs.

Cost-Effective:

INFACore requires no context switching. Its SDK is independent of the developer IDE, so you can use it virtually anywhere.

Please see the resources below:

Video Link

Data Sheet

Blog

Webinar

Data Validation

Recommended Webinars

Stay informed about upcoming expert-led webinars to deepen your knowledge of cloud data integration and engineering, helping you optimize and leverage your data assets effectively - View upcoming webinars

Product Overview

Build Custom Connectors Using INFAConnect

Jun 11, 2024

8:00 AM PT

Learn More →

Product Overview

Manage IICS Environment Effectively Using Assurance Service

Jun 04, 2024

8:00 AM PT

Learn More →

Best Practices

Release Readiness and Communication Channels for IDMC Platform Activities – May 2024

May 21, 2024

8:00 AM PT

Learn More →

Functional Use-Case

Enabling Self-Service Analytics Using IDMC Platform: CDMP, CDGC, CDQ - Part 2

Apr 30, 2024

8:00 AM PT

Learn More →

Best Practices

Unlock the Power of Informatica Cloud: FAQs, Use-cases, and Best Practices

Apr 23, 2024

8:00 AM PT

Learn More →

Product Feature

SQL ELT with Snowflake

Apr 16, 2024

8:00 AM PT

Learn More →

Product Feature

Accelerate your Analytics Journey on Snowflake with Informatica Superpipe

Apr 09, 2024

8:00 AM PT

Learn More →

Functional Use-Case

Custom Workflows in CDGC and UI Personalization with Custom Layouts

Mar 26, 2024

8:00 AM PT

Learn More →

Product Feature

Cloud Data Marketplace – April 2024 Updates

Mar 20, 2024

8:00 AM PT

Learn More →