HPE Advances Its Intelligent Data Platform with Acquisition of MapR Business Assets

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A new press release reports, “Hewlett Packard Enterprise today announced it has acquired the business assets of MapR, a leading data platform for artificial intelligence and analytics applications powered by scale-out, multi-cloud and multi-protocol file system technology. This transaction includes MapR’s technology, intellectual property, and domain expertise in artificial intelligence and machine learning (AI/ML) and analytics data management.  HPE welcomes MapR customers and partners and plans to support existing deployments along with ongoing renewals. ‘The explosion of data is creating a new era of intelligence where the winners will be the ones who harness the power of data, wherever it lives,’ said Antonio Neri, president and CEO of Hewlett Packard Enterprise. ‘MapR’s file system technology enables HPE to offer a complete portfolio of products to drive artificial intelligence and analytics applications and strengthens our ability to help customers manage their data assets end to end, from edge to cloud’.”

The release goes on, “This asset acquisition accelerates HPE’s Intelligent Data Platform capabilities and helps customers optimize workload solutions for mission-critical big-data workflows – whether they are cloud-native or on-premises. The MapR Data Platform helps deliver the foundation for a next-generation edge-to-cloud AI/ML and analytics data pipeline by: (1) Extending BlueData capabilities for stateful container-based applications. The combination of the BlueData and MapR technologies can empower data scientists and data analysts to stitch together AI/ML and analytics data pipelines in minutes across on-premises, hybrid cloud, and multi-cloud environments. (2) Enabling storage and consumption of data by a broader set of AI/ML and analytics data, engines, applications, and tools from ISV partners. MapR allows for multiple workloads in the same environment and offers expansive APIs for easy access. (3) Ensuring a consistent approach to secure, govern, protect, and orchestrate data up to exabyte scale across the AI/ML and analytics data pipeline. MapR handles a variety of data types from files and streams to documents.”

Read more at hpe.com.

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