Enterprise Data Lake
Discover and prepare raw data into high quality insights, again and again.
Overview
Find, prepare, and govern data for analysis in a uniquely collaborative way that enables the business to make decisions even faster.
Find any data
Informatica Enterprise Data Lake enables raw big data to be systematically transformed 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 context. Its smart recommendations provide business analysts access to nearly all the data in the organization.
Discover meaningful data relationships
When data is siloed across an organization, business analysts have only a partial perspective informing their insights. Informatica’s Enterprise Data Lake instead catalogs the data for greater understanding. Business analysts can now fully use all of the organization’s data, while IT can more confidently govern, track, and secure the data.
Quickly prepare and share data
An easy-to-use Excel-like self-service data preparation tool 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 so that big data project teams can deliver business insights more quickly.
Operationalize data prep
Record data prep steps and play them back inside automated processes that are reusable and sustainable. Facilitate enterprise collaboration with project workspaces and publication management.
Key Features
Find, prepare, and govern data for analysis in a uniquely collaborative way that enables the business to make decisions even faster.
Familiar Excel-like interface
Provides an easy-to-use interface, allowing business analysts to blend data without waiting for IT.
Rapid blending of data sets
Includes prebuilt data integration transformations to natively process all types of data at any scale.
Crowdsourced asset tagging and sharing
Empowers analysts to collaborate in the data curation process by easily tagging and sharing data assets.
Automated data discovery
Use machine intelligence to recommend hard-to-find data assets and identify sensitive data for compliance.
Automated workflow creation
Records data preparation steps as reusable data pipeline mappings that can be executed quickly using Informatica Blaze or other engines.
Self-service Sqoop data transfer
Supports self-service bi-directional data ingestion and publication between Hadoop and Apache Sqoop sources.
User administration and authorization
Supports Apache Ranger centralized security administration and Apache Sentry role-based access control.
Automated data quality
Includes prebuilt data quality business rule transformations to ensure consistency and accuracy.
Smart charts
Enables data exploration with easy-to-use data visualization.
Enterprise collaboration
Manages data publications on a self-service basis, while organizing projects in workspaces.
