Data Lake Management

Accelerate analytics innovation and business decisions by tapping into a centralized, governed data source. 



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.

End-to-end data lineage

Tracks data movement and transformations across all systems from target applications back to the source.

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.

Related Products & Solutions

Intelligent Big Data

Integrate, secure, and govern big data with repeatable, reliable, and maintainable processes to add value to your organization.

Big Data Management

Achieve faster, more flexible, and more repeatable data integration, governance, and security on Hadoop.

Relate 360

Ensure the success of big data analytics projects by uncovering accurate relationships among connected data.

Big Data Parser

Access the most difficult data and file formats in Hadoop, reducing the time and cost of developing data parsers.

Data Integration Hub

Delivers an innovative, publish/subscribe hub approach for elegant, alternative point-to-point integrations.

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