HPE Ezmeral Data Fabric
Are business insights and innovation slowed by restricted access to data? HPE Ezmeral Data Fabric securely works around data silos to aggregate different data types and formats into a single data backbone that accelerates analytics and AI without complex ETL processes or copying of data. Customers report faster data management, building of models 75% faster1 and the ability to handle more types of data and modeling algorithms than ever before.
Layer on open source tools and frameworks from the certified ecosystem to process data at its point of creation across hybrid, edge, and multicloud environments.
Empower data teams to search and pinpoint the exact data with metadata and data intelligence from BigID. Truncate data discovery from days/weeks to minutes, identify unprotected sites, then apply remediation policies, encrypt or move data. Ensure that data is being accessed and used to organizational policies.
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- Enhance data discovery, context, and security with metadata management and intelligence across hybrid, edge, and multicloud environments.
- Apache NiFi delivers real-time control, ease of management and data movement across any source and any destination.
- Streamline cluster deployment and security of data fabric clusters on bare metal, private and public clouds, and VMware vSphere® with Apache Rancher.
- Native integration of Apache Kafka enables real-time processing of streaming data along with replication across multiple geographies.
- GPU acceleration is essential to speed up processes by breaking down computational problems into similar, parallel operations. Apache Spark now supports GPU acceleration.
Integrated Data and Analytics Platform
Simplifies data access patterns, acquisition, processing and indexing of different data types across multiple use cases, workloads, and organizational assets.
The combination of infrastructure independence and industry standard API support enables HPE Ezmeral Data Fabric to aggregate data from new and existing analytic architectures into a single logical data backbone without complex ETL processes or copying of data.
HPE Ezmeral is not limited to just storing data. It accesses data from multiple sources and stores it as a file or object, then processes the data and metadata into an integrated database. Metadata queries are perfect for identifying fraud. Data queries are perfect for complex model training.
Increases data engineering and analyst productivity by automating and orchestrating key processes needed for any data transformation initiative.
Exabyte Scale File System
Transparently scales to thousands of nodes per cluster and trillions of records per table without the complexity and cost of traditional data architectures.
Accelerates development cycles with multi-modal support for key-value, wide column, and JSON documents.
Downtime and points of failure are minimized through a built-in strong data consistency model and replication
Hybrid/Multicloud Security Made Easy
Single security management system integrates into existing authentication/authorization systems reducing organizational risk and cost.
Simplifies building, deploying, securing, managing and integrating unique users, applications, and workloads across hybrid and multicloud environments.
Without HPE Ezmeral Data Fabric, files, objects, databases, and streaming data needs to be manually integrated into existing security system(s) at a high cost, dependence on specialized skillsets, and organizational risk.
Accelerate Data Identification for Each Project
Multi-modal database simplifies data engineer query processes by supporting both document and column-oriented data.
Integration with Apache Drill provides low-latency, distributed SQL query capabilities for large-scale data sets, including structured, semi-structured, and nested data.
Immediate analysis and processing of live, interactive data by running Apache Spark and Hadoop on top of the data fabric.
Broad API support includes Apache HDFS protocol and HBase API enabling Hadoop and HBAE applications to use HPE Ezmeral Data Fabric without code modifications.
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* Prices may vary based on local reseller.
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