Overview
Use Informatica Enterprise Data Lake products to find, prepare, and govern data for analysis in a uniquely collaborative way–and help your business leaders make decisions faster.
Find any data
Systematically transform raw big data into fit-for-purpose data sets. Universal metadata services catalog the metadata attached to data, both inside and outside Hadoop, as well as capture crowdsourced tags that provide business content. Smart recommendations provide business analysts access to almost all your data.
Discover data relationships
Informatica Enterprise Data Lake solutions eradicates siloed views across the organization, giving business analysts a full view of the data to inform insights. By cataloging data, you give analysts access to all the company’s data, while enabling IT to maintain data tracking, governance, and privacy.
Prepare, enrich, and collaborate
We provide an easy-to-use Excel-like self-service data preparation tool that lets business analysts quickly blend data into insights. Asset tagging and sharing capabilities enrich data assets with more metadata, facilitating reuse and increasing operational efficiency.
Operationalize data prep
Efficiency and reuse are important for business analysts. Enterprise Data Lake records data prep steps and play them back inside automated processes. Facilitate enterprise collaboration with project workspaces and publication management.
Key Features
Excel-like interface
An easy-to-use interface allows business analysts to blend data without waiting for IT.
Enterprise collaboration
Manage data publications on a self-service basis, while organizing projects in workspaces.
Rapid blending of data sets
Prebuilt data integration transformations natively process all types of data at any scale.
Smart charts
Enable data exploration with easy-to-use data visualization.
Automated data discovery
Machine intelligence recommends hard-to-find data assets and identifies sensitive data for compliance.
Crowdsourced asset tagging and sharing
Empower analysts to collaborate in the data curation process by easily tagging and sharing data assets.
Self-service Sqoop data transfer
Bi-directional data ingestion and publication between Hadoop and Apache Sqoop sources.
Automated workflow creation
Record data prep steps as reusable data pipeline mappings for quick execution using Blaze or other engines.
Automated data quality
Prebuilt data quality business rule transformations to ensure consistency and accuracy.
User administration and authorization
Apache Ranger centralized security administration and Apache Sentry role-based access control.
