Enterprise Data Preparation
Prepare and operationalize big data for faster trusted insights.
Overview
Data engineers and data analysts can use Informatica Enterprise Data Preparation to find, prepare, and govern data for analysis in a uniquely collaborative way so that data analysts and business users can make decisions faster.
Discover on-premises and cloud data sources
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 give business analysts access to almost all of your data.
Uncover data relationships
Enterprise Data Preparation removes 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
Our easy-to-use, Excel-like self-service data preparation tool lets data analysts and data engineers quickly combine, filter, blend, cleanse, and protect data to rapidly and safely generate the trusted insights they need. 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 data preparation. Enterprise Data Preparation records data prep steps and plays 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.
Operationalized data preparation
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 help ensure consistency and accuracy.
User administration and authorization
Leverage Apache Ranger centralized security administration and Apache Sentry role-based access control.
