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Overview

Enterprise Cloud Data Management & Integration Platform

Digital transformation changes expectations: better service, faster delivery, with less cost. Businesses must transform to stay relevant and data holds the answers.

As the world’s leader in Enterprise Cloud Data Management, we’re prepared to help you intelligently lead—in any sector, category or niche. Informatica provides you with the foresight to become more agile, realize new growth opportunities or create new inventions. With 100% focus on everything data, we offer the versatility needed to succeed.

We invite you to explore all that Informatica has to offer—and unleash the power of data to drive your next intelligent disruption.

Products

Tableau Resources

Snowflake Resources

On-Demand Webinars

View Available On-Demand Webinars


  • Webinar Series: Best Practices for Comprehensive Data Cataloging & Governance

    Webinar #1: AI-Powered Data Cataloging and Governance at Scale with Informatica and Snowflake

    Simplify and speed data discovery, curation, profiling and lineage on Snowflake Data Cloud with a solution that provides full data visibility, automated data lineage, and tracking of data movement across your data landscape.

    In this webinar, experts from Informatica, Snowflake, and Thrivent will discuss best practices for streamlining data discovery and lineage on Snowflake Data Cloud:

    • Achieve full data visibility
    • Automate data lineage
    • Track data movement to and from Snowflake
    • Explore Thrivent’s lessons and use cases


    Webinar #2: Accelerate Analytics and AI on Databricks with AI-powered Data Cataloging

    Data democratization, analytics, and AI initiatives depend heavily on the quality and veracity of the underlying data. Learn how to streamline discovery, curation, and profiling on Databricks, including deep metadata and data lineage, with comprehensive support for Spark SQL methods and more.

    This webinar will show you how to simplify and speed data discovery, curation, and lineage on Databricks:

    • Using EDC Advanced Scanner for Databricks Notebook
    • Leveraging comprehensive support for Spark SQL methods
    • Applying best practices for deep metadata and data lineage extraction


    Webinar #3: Best Practices for Metadata & Data Lineage Extraction with EDC Advanced Scanners for SAP

    Learn how to increase visibility into and extract deep metadata and data lineage from complex SAP enterprise applications – and why it’s never been more important

    This webinar will help you understand how to boost visibility into your data landscape with complex SAP enterprise applications and linked systems:

    • Explore challenges and best practices
    • Extract deep metadata and data lineage
    • Hear real-world use cases from manufacturer BSH Hausgeräte GmbH

  • Webinar Series: Back to Basics: Data Integration

    Episode 1: Data Integration 101: New Use Cases and Examples

    Combining all your data from disparate sources is the first step toward turning it into business value. Whether you’re new to data integration or refreshing your understanding, “Back to Basics Webinars: Data Integration” will clarify what it is, why it’s critical to analytics and business initiatives, and how it’s evolving with changing business requirements, technologies, and frameworks.

    In this episode, explore the evolution of data integration in 6 real-world examples of:

    • Better performance at lower cost
    • Real-time analytics, multi-cloud integration, and cloud data warehouse modernization
    • Moving from Hadoop to Spark and ETL to ELT


    Episode 3: ETL or ELT? Guidewire Insurance Modernizes with Pre-Built Analytics and Automated Data Integration

    Combining all your data from disparate sources is the first step toward turning it into business value. Whether you’re new to data integration or refreshing your understanding, “Back to Basics Webinars: Data Integration” will clarify what it is, why it’s critical to analytics and business initiatives, and how it’s evolving with changing business requirements, technologies, and frameworks.

    In this episode, learn how a customer added value to its Snowflake implementation using a pre-packaged analytics solution built on Informatica’s Intelligent Data Management Cloud (IDMC) platform to:

    • Process data with both ETL and ELT
    • Modernize analytics
    • Improve performance and security for better compliance with industry requirements

    Episode 4 - Data Integration Trends for 2022: Data Mesh Powered by Autonomous DI

    Combining all your data from disparate sources is the first step toward turning it into business value. Whether you’re new to data integration or refreshing your understanding, “Back to Basics Webinars: Data Integration” will clarify what it is, why it’s critical to analytics and business initiatives, and how it’s evolving with changing business requirements, technologies, and frameworks.

    In this episode, Informatica experts and customers discuss market-leading data integration innovations:

    • What’s next in XOps (DataOps, MLOps)
    • The impact of data fabric, autonomous data integration, and serverless processing
    • Future-proofing your data platform

  • Webinar Series: Back to Basics: Understanding Master Data Management 101
  • Webinar Series: Four Steps to Cloud Analytics Governance

    Step 1: Harvest Technical Metadata

    As more applications and workloads move to the cloud, companies increasingly need cloud-first, cloud-native data governance—not just for regulatory compliance, but to support and accelerate data analytics. This four-part webinar series explains how Informatica enables cloud analytics governance in four steps.

    In Step 1 of this series, you will learn technical tips for understanding what and where your data is:

    • Create classifications and catalog sources
    • Assign stakeholders and configure a scan
    • Auto-tag metadata and review/curate results
    • Prioritize systems to scan for technical metadata
    • Create classifications and catalog sources
    • Assign stakeholders and configure a scan
    • ·Auto-tag metadata and review/curate results


    Step 2: Establish Analytics Governance Framework

    As more applications and workloads move to the cloud, companies increasingly need cloud-first, cloud-native data governance—not just for regulatory compliance, but to support and accelerate data analytics. This four-part webinar series explains how Informatica enables cloud analytics governance in four steps.

    In Step 2 of this series, we’ll show you how to set up and populate your cloud data governance tool to ensure data quality:

    • Define key terms and metrics within a hierarchical glossary
    • Define policies and related terms of use
    • Define processes and AI models
    • Track progress


    Step 3: Connect & Enrich Business & Technical Metadata

    As more applications and workloads move to the cloud, companies increasingly need cloud-first, cloud-native data governance—not just for regulatory compliance, but to support and accelerate data analytics. This four-part webinar series explains how Informatica enables cloud analytics governance in four steps.

    In the third step of this series, you will understand how data is being used and establish how it should be used:

    • Link glossary concepts to policies and processes
    • Build datasets from technical content
    • Create and implement DQ checks
    • Review enriched assets for business and technical value

  • Additional On-Demand Webinars

    Data Governance for Enabling the Federal Data Strategy

    Stream this on-demand webinar and explore CBP’s lessons learned and best practices on successfully managing the data component of cloud migration within the context of their human capital and utilization modernization project.

    Meet the Experts: Innovations in Customer 360 SaaS

    Empower your data stewards to build consistent, complete, connected 360-degree customer profiles simply and at scale with Informatica’s intelligent, cloud-native customer 360 solution.

    “Meet the Experts: Innovations in Customer 360 SaaS” is a deep dive into the latest innovations, including:

    • All-in-one cloud capabilities including data integration, application integration, and data quality
    • AI/ML-driven data matching, smart fields, and other built-in intelligence and orchestration
    • Phased implementation and improved user experience
    • A component-based framework for rapid app configuration
    • Microservices-based architecture for scalability and upgradability


    Meet the Experts: Cloud Data Marketplace & More

    Data is critical to empower stakeholders and consumers across critical business processes or data science and machine learning. Data democratization allows you to govern data assets from all sources—on-premise, cloud, and multi-cloud—and make them readily available for self-service discovery.

    Meet the Experts: Cloud Data Marketplace & more” explores Informatica’s cloud native and intelligent solution for data democratization. You will learn how to:

    • Access data assets from diverse data sources and tools—on-premises, cloud, or multi-cloud—and make it available for self-service discovery
    • Find, understand, and access published data with seamless data shopping
    • Provide multiple entry points for users to access data in the marketplace
    • Allow data consumers to choose how they want their data delivered – including requesting new options
    • Publish AI/ML and analytics models in consumable packages for data scientists


    You will also get updated on the latest in Cloud Data Governance and Catalog and Enterprise Data Catalog.

    Meet the Experts: What’s New in Informatica’s Solutions for Cloud Data Warehouses & Lakes

    Unlock collaboration, build trust, and democratize data

    In “Meet the Experts: What’s New in Informatica’s Solutions for Cloud Data Warehouses and Lake”, you’ll learn how to unlock collaboration, build trust, and democratize data.

    You’ll discover how to:

    • Take a code-free approach to data ingestion and synchronization
    • Democratize cloud data engineering with wizard-driven app ingestion and change data capture
    • Increase productivity with augmented data integration, leveraging AI-powered self-integrating systems
    • Increase collaboration with automated MLOps and DataOps capabilities 

    Don’t miss the demo, where Informatica experts will take a deep dive into the new code-free application ingestion capability in Informatica’s Cloud Mass Ingestion service and demo the latest enhancements in CDI to optimize the cost and performance of your data pipeline.

    Unlock Collaboration, Build Trust, and Democratize Data

    Digital transformation is a team sport, and data is the soul of digital transformation. Despite considerable investment in data, the value is often locked in data silos and held hostage by lack of collaboration within the organization. How do you unlock cross-functional collaboration to foster a data-informed, insight-driven culture?

    Join our Fall 2021 product launch to Unlock Collaboration, Build Trust, and Democratize Data. You’ll get a look at the industry’s first cloud-native data marketplace, augmented MDM, and DataOps with our Intelligent Data Management Cloud. Now both technical and non-technical teams can easily build data pipelines and collaborate, access, and share trusted data, augmented with collective data intelligence through an Amazon-like data marketplace, intuitive 360 views, and AI-powered network graphs. See these new capabilities across four key journeys on the Intelligent Data Management Cloud:

    • Business 360: Safeguard the success of every digital transformation with augmented MDM. Support business self-service with visual analytics and business collaboration with tailored workflows for reference data management. Adopt MDM faster by removing error-prone manual efforts when moving MDM into production. Maintain MDM process transparency for non-technical teams by easily viewing and analyzing the results of data matching and quality processes.
    • Data Warehouse and Lake: Democratize cloud data engineering with wizard-driven app ingestion and change data capture. Increase productivity with augmented data integration leveraging CLAIRE-powered self-integrating systems. Increase collaboration between data scientists and data engineers with automated MLOps and DataOps capabilities. Govern costs by automatically leveraging AWS Spot instances and Graviton processors—save up to 90% of your compute costs.
    • Data Governance, Privacy & Catalog: Enable data consumers to find, understand, access, and trust the data they need with the industry’s first cloud data marketplace. Simplify and accelerate application of data quality standards at scale with cloud-native data governance and catalog as a service with automated data quality assessments. Enable deep metadata connectivity and automated data lineage across multi-cloud and hybrid with new advanced scanners.
    • AI-Powered Automation with CLAIRE: Accelerate time-to-value and reduce costs by automatically inferring and recommending common data quality rules, automating schema mappings by identifying objects that are semantically related, and reducing manual stewardship efforts with a self-learning bot that predicts curation requirements for uncurated data assets.

    Don’t miss:

    • New Features and Demos: Experience the latest innovations as Informatica experts demonstrate new features and capabilities across Business 360; Data Warehouses and Lakes; Data Governance, Privacy, and Catalog; and AI-Powered Automation with CLAIRE.
    • Live chat: Informatica experts will answer all your questions live.


    How to Mass Ingest Application Data in Minutes Without Coding

    Code-free application ingestion capability in Informatica Cloud Mass Ingestion service

    Cloud-based applications generate data every microsecond. Ignoring this data could have serious implications for your business. But many organizations struggle to ingest their application data into cloud data warehouses and lakes, hindering their ability to make rapid, data-driven business decisions.

    What's needed is a code-free approach to data ingestion and synchronization that can help you:

    Build data ingestion jobs in minutes with a simple, wizard-based experience

    Simplify data ingestion with a unified, cloud-native solution with versatile, out-of-the-box connectivity.

    Ingest terabytes of any data, any pattern, at any latency at scale in real time and batch

    Track, capture, and update changed data in real time with automatic schema drift support

    Join our Meet the Experts webinar to take a deep dive into the new code-free application capability in Informatica's Cloud Mass Ingestion Service. You’ll see how you can quickly and efficiently ingest data from SaaS and on-premises applications into cloud data warehouses and lakes.

    Fuel Data-Driven Decision Making with Governed, Trusted Data

    For many of today's top enterprises, the ability to get the most out of their data has become a top priority. Turning data into insights, however, is easier said than done. Organizations need a data intelligence engine that will harness the power of their data, ensure it can be trusted, and empower their data consumers with the right data at the right time. Join us to learn how Informatica's Data Governance and Catalog service can operationalize your data governance program to deliver greater business value.

    In the discussion, we'll discuss challenges facing the market, how you can solve issues with a practical, pragmatic approach, and ensure success with a cloud-native solution.

Contracts

Events

Upcoming Events

Data in Action Virtual Summit
April 27, 2022 | 10:00 AM

News

Resources

Blog

The US Government continues to evolve its cybersecurity vision and strategy. Increasingly sophisticated adversarial attacks on its networks, systems and data are ever present and it must improve its defensive posture. With recent global events, this emphasis could not come sooner.

Government agencies from the state to the Federal level are modernizing operations to provide enhanced citizen services and better carry out their missions. Organizations are leveraging the cloud, artificial intelligence (AI) and trusted analytics to drive more-informed decision-making and improve i...

Government agencies need to reduce risk to their sensitive and private data to address cybersecurity threats.With increased adversary threat activities against our government institutions, ensuring that risks to agency data are minimized is a critical mission now. Sensitive data exposure and loss to...

Case Study

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Informatica Case Study
Air Force analysts needed to improve speed and availability of data access and integrate 26 discrete source systems and databases. Learn how Informatica PowerCenter accesses, integrates, and delivers any and all data quickly and cost-effectively, without hard cording.

Customer Success Story

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Informatica Customer Success Story
FDA Center for Drug Evaluation and Research Uses Modern Data Architecture to Bring Safe, High-Quality Healthcare Products to Market Decision Making and Greater Business Agility

Datasheet

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Informatica Datasheet
Data is the trusted currency of your analytics initiatives. With Informatica Enterprise Data Catalog for Tableau, business analysts can discover trusted, timely, and relevant data to fuel their data visualizations.

Government organizations use data to create valuable insights about their services, operations, resources and, increasingly, to make data available to citizens. To drive innovation, uncover efficiencies, and help refine processes, agencies are modernizing their operations and seeking new ways to use...

In order to better serve existing and prospective students, as well as alumni, higher-ed institutions have been striving to expand the data associated with their master student records. However, many institutions have struggled with managing student information across multiple databases and systems....

To make informed policy, deliver effective services, reduce costs, and meet mission goals, your public sector agency needs full visibility into all of their data. Without it, even the most sophisticated analytics tools can’t deliver results that drive truly evidence-based decisions. This eBook discu...

Companies are looking to drive transformation and accelerate analytics in their business. To do this, they must have an effective data platform strategy. A key piece of this strategy is taking advantage of the revolutionary way that a modern cloud data warehouse, like Snowflake, can collect, acce...