metadata-mq
  • Business-Driven Data Governance for Analytics

    Data quality and data governance are critical for successful analytics. Data management expert David Lyle explains how you can create a self-sustaining data governance culture by starting small.

  • Enterprise Data Catalog for Cloud Data Integration

    Learn how you can find the right data, integrate it, and synchronize data from different applications and systems (on-premises or multicloud) into a cloud data warehouse using Informatica Cloud Data Integration and data discovery features from Informatica Enterprise Data Catalog.

  • Big Data Demands Big Data Quality

    Big data drives transformation. Big Data Quality ensures that information is relevant, timely, and trustworthy. From increased sales and reduced costs, to effectively managing risks, it’s time to unleash the power of data.

  • Data Transparency With End-to-End Data Lineage on Hadoop from Informatica

    Check out this demo to see how to use Informatica Big Data Edition with Hadoop to get a complete end-to-end data lineage map of the entire data pipeline from sources outside Hadoop being loaded into Hadoop, all data integration, parsing and data quality transformation running on Hadoop and then loading of curated data sets onto data warehouses, analytics tools and operational systems outside Hadoop

  • A smart data catalog for data-driven organizations

    Enterprise Data Catalog provides a machine-learning-based discovery engine to classify data assets – on-premises, cloud, Hadoop. With Enterprise Data Catalog, you can manage and maximize the reuse of ALL data assets.

  • Contact Data Verification in Marketo with Informatica

    Marketo Champion, Jessica Kao, explains the value of verifying your contact data and the importance of a data quality strategy. Informatica Contact Data Verification is a single solution to verify email, phone, and address data.

  • Informatica Enterprise Data Preparation Demo

    Learn how data analysts can quickly perform self-service analytics to find, explore, and prepare patient data. Data scientists use the data to build a machine learning model to predict the likelihood a patient is re-admitted after being discharged.

  • Enterprise Data Catalog Demo

    Get a deeper look at Enterprise Data Catalog and learn how it can help you find and understand relevant data assets across the enterprise through a combination of AI, collaboration and social curation.

  • The Future of Data Integration: Informatica

    Informatica's next-generation data integration processes help data warehouses and analytics systems process more data more cost-effectively in less time to generate greater business value, predictably and quickly.

  • What is Data as a Service? (DaaS)

    Ever wonder what Data as a Service is? Watch this brief video to learn about the new Informatica solution. Improve data quality, enrich contact records, and connect with customers using Informatica Data as a Service.