Getting a handle on data is difficult as it just keeps growing and growing. The Cisco Global Cloud index reports that 20.6 zettabytes in global data center traffic is anticipated by 2021 with 500 million business data users and growing.
To help enterprises more efficiently gather, analyze and utilize data, Informatica, an enterprise cloud data management leader, has teamed up with Microsoft, Tableau, and Databricks to create a comprehensive enterprise-scale intelligent data catalog. The Informatica Enterprise Data Catalog (EDC) offers AI-driven data discovery across multi-cloud and hybrid environments, providing broad metadata connectivity to support organizations in driving their data-driven digital transformations.
“Enabling a culture of analytics requires a balance of self-service with governance so that everyone can trust and understand the data available for analysis,” comments Francois Ajenstat, chief product officer at Tableau. “Informatica’s new integration with Tableau brings the power of the Enterprise Data Catalog to end users in the flow of analysis. This will help people quickly discover relevant, curated data and empower them to uncover valuable insights and make data-driven decisions.”
By enabling easy discovery and understanding of data across the enterprise, the Informatica EDC allows enterprises to fully leverage their data for greater business insights and value. In addition, expanded integrations with Tableau, and new EDC metadata scanners for Delta Lake, the open source project from Databricks, and Microsoft Azure Data Lake Storage Gen2, further enable Informatica EDC customers to build a strategic approach to analytics modernization.
Benefits of data catalog
- Broad and deep metadata connectivity across the full spectrum of data sources and applications — including on-premises data warehouses, data lakes, cloud data stores, ETL tools, business intelligence tools, SaaS, and other enterprise applications.
- Broad and deep lineage and impact analysis to understand the provenance of critical data in a dynamic data landscape and assess the impact of making changes.
- AI-enabled automation speeds up intelligent data curation through automated domain discovery, data similarity, and business term association.
- Data collaboration and social curation enables crowdsourced data curation, including from certifications, ratings and reviews, and Q&A forums to bring otherwise siloed data knowledge to the forefront.
- Support for varied use cases, ranging from self-service analytics to data governance, cloud modernization, and master data management.
- Enterprise-scale data discovery and cataloging across millions of datasets, whether located on-premises, in the cloud, or in a hybrid combination of data sources.