Informatica delivers out-of-the-box data lake management solution

Informatica turns unmanageable data swamps into intelligent data lakes with intelligent streaming, information catalog, governance and security innovations.

 
Informatica is expanding its Data Lake Management solution to strengthen and deepen the only single, integrated and out-of-the-box solution for turning big data into business value. Unlike fragmented point solutions, Informatica’s solution enables data analysts of all kinds to easily find, prepare, govern and protect data of any size and velocity to more efficiently and confidently drive business value from Hadoop-based data lakes.
 
Informatica Data Lake Management now includes the following innovations brought together with a single metadata driven platform:
  • Informatica Enterprise Information Catalog enables business users to quickly discover and understand all enterprise data using intelligent self-service tools powered by machine learning and AI.
  • Informatica Intelligent Streaming helps organisations more efficiently capture and process big data (machine, social media feeds, website click stream, etc.) and real-time events to gain timely insight for business initiatives, such as IoT, marketing and fraud detection.
  • Informatica Blaze dramatically increases Hadoop processing performance with intelligent data pipelining, job partitioning, job recovery and scaling powered by a unique cluster aware data processing engine integrated with YARN.
  • Informatica Secure@Source® reduces the risk of proliferation of sensitive and private data with enhanced monitoring and alerting of sensitive data based on both risk conditions and user access/activity.
  • Informatica Big Data Management is easily and rapidly deployed in the cloud with the click of a button through the Microsoft Azure Marketplace to integrate, govern, and secure big data at scale in Hadoop.
  • Informatica Cloud Microsoft Azure Data Lake Store Connector helps customers achieve faster business insights by providing self-service connectivity to integrate and synchronise diverse data sets into Microsoft Azure Data Lake Store.
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