Data Management What is Data Management?
Data management is the practice of collecting, storing, and utilizing data with security, efficiency, and cost-effectiveness. Data has become a valuable asset that can drive decision-making, improve operational efficiency, and enhance customer experiences in business environments. With the right data management strategy, organizations can safeguard sensitive information while ensuring data quality and comply with regulatory requirements.
What topics are related to data management?
Cloud Storage
Data Cloud
Data Stores
Edge Network
Database Security
Data Encryption
Backup and Recovery
Artificial Intelligence (AI)
Data Analytics
Edge Streaming Analytics
Distributing Computing
Data Fabric
Data Lakehouse
Data Migration
Simplified Data Management
Data Intelligence
Data Deluge
Delta Lake
Internet of Things (IoT)
Cloud Storage
Cloud Storage provides flexible and secure online storage options, allowing users to access their data whenever and wherever they need it, which enhances collaboration.
Data Cloud
Data Cloud acts as a single platform that helps manage data in hybrid cloud settings. It enables smooth integration, governance, and analytics from different data sources.
Data Stores
Data Stores are organized spaces created to efficiently hold and manage large volumes of data, serving as a base for retrieving and handling information.
Edge Network
Uses decentralized computing to bring data processing nearer to where the data is generated, improving performance and lowering latency for real-time data analysis and application responsiveness.
Database Security
Measures to protect databases from unauthorized access and threats.
Data Encryption
Secures data by converting it into unreadable code to ensure authorized access only.
Backup and Recovery
Solutions that ensure data is safely backed up and can be recovered quickly.
Artificial Intelligence (AI)
Artificial intelligence (AI) broadly refers to any human-like behavior displayed by a machine or system.
Data Analytics
Extracts meaningful insights from raw data to inform business decisions.
Edge Streaming Analytics
Processes real-time data at the edge of the network for instant insights.
Distributing Computing
Computes processes spread across multiple systems for efficiency and scalability.
Data Fabric
An architecture that simplifies data management across hybrid environments.
Data Lakehouse
Combines the flexibility of data lakes with the structure of data warehouses.
Data Migration
The process of transferring data between storage systems or formats.
Simplified Data Management
Streamlined solutions for managing complex data environments effortlessly.
Data Intelligence
The ability to analyze and make sense of large datasets for actionable insights.
Data Deluge
The overwhelming surge of data that challenges traditional data management methods.
Delta Lake
A storage layer that brings reliability to data lakes, enabling real-time analytics.
Internet of Things (IoT)
A network of interconnected devices that collect and exchange data in real time.
- How can HPE help solve your data management challenges?
How can HPE help solve your data management challenges?
HPE accelerates business transformation by radically simplifying data management via HPE GreenLake. Organizations can avoid the cost, risk, and latency of moving data to and from the public cloud while meeting compliance and regulatory requirements for privacy and data sovereignty. A revolutionary suite of cloud data services empowers line-of-business (LOB) and application admins to speed app deployment by instantly self-provisioning storage and effortlessly protecting apps and data. With HPE data management products and solutions, IT teams can leverage storage as a service and a cloud operational experience for every workload to focus on innovation. They can transform from operator to service provider and start managing business outcomes instead of infrastructure.
HPE GreenLake enables:
Storage as a Service—Transform faster with a SaaS-based console that simplifies, automates, and orchestrates data workflows across the data lifecycle while delivering cloud operational agility for data infrastructure. HPE GreenLake provides a suite of cloud services across edge, core, and cloud to accelerate data, agility, and innovation for everyone, from data managers to data innovators.
Modern data protection—Secure your data with modern data protection that’s designed to provide robust security against data loss and ransomware threats while meeting every backup SLA without upfront capital expense or overprovisioning risk. On-demand, cloud-native backup and recovery services deliver agility while preconfigured, on-premises solutions extend your options.
Powered by cloud-native data infrastructure and AI-driven insights, HPE GreenLake delivers the agility of elastic scale and a pay-per-use structure that links business value to use.
HPE Ezmeral—Unlock data insights with modern data analytics at scale. Leverage a complete, orchestrated Kubernetes container platform along with a built-in persistent storage layer and ML Ops to accelerate your data science workflows.
HPE Alletra—Enjoy a common experience across clouds—as a service and with limitless scale—while managing your entire environment from a single, SaaS-based console. Cloud-native HPE Alletra delivers high performance and non-disruptive scale, all backed by a 100% availability guarantee for your mission-critical workloads.
HPE ProLiant—Compute engineered for your hybrid world to unlock more value from your data and, power insights and innovation across edge to cloud. Accelerate speed to insights wherever your data lives with the performance, efficiency, and scale to empower your data teams.
HPE InfoSight—Redefine data, app, and infrastructure management—and make infrastructure invisible—with autonomous operations from the industry’s most advanced artificial intelligence for infrastructure. Every second, HPE InfoSight collects and analyzes data from more than 100,000 systems worldwide and uses that intelligence to predict and automatically resolve 86% of customer issues.