DATA MANAGEMENT
WHAT IS DATA MANAGEMENT?
Data management is an organization's collection, storage, protection, and mobilization of data throughout the data lifecycle across edge, cloud, and on-prem data infrastructure. The goal of data management is to unlock value from data everywhere by delivering secure, always-on, always-fast access to data and ensuring data is protected and mobile across clouds.
Why does data management matter?
Today, data has more value than ever. It’s the lifeforce of the enterprise — with the potential to transform organizations, accelerate innovation, improve customer experiences, and drive operational efficiency. Yet, as exponentially more data is created across hybrid cloud, organizations struggle with the sheer volume of data they must efficiently collect, store, protect, access, and analyze for the insights that will drive their businesses ahead. In addition, even as enterprises strive to become truly data-driven in their approaches, they must protect data everywhere from escalating threats of cybercrime and ransomware attacks.
Why is data management challenging?
In hybrid and multi-cloud environments, data management and infrastructure complexity remain key issues. Enterprises often find it particularly difficult to keep data orchestrated and unified across diverse systems and applications. Without a modern data management solution that includes technology, tools, systems, best practices, and expertise, challenges in governance, compliance, and lack of data control can inhibit data-first initiatives. With structured and unstructured data now stored across edges, clouds, colocations, and enterprise data centers, traditional data infrastructure and practices are unable to overcome the complexity of modern environments and thus act as inhibitors to innovation and agility — while increasing risk. To simplify data management, businesses today require a data-first approach that delivers an intuitive cloud experience in a solution purpose-built for data consumption, protection, and analysis from edge to cloud.
Why is thinking about data management important?
Addressing the complexities of data management helps customers drive data-first modernization. That’s increasingly critical: data-first businesses are seeing positive outcomes versus their competitors, including the ability to move faster, protect data everywhere, and elevate stakeholder satisfaction.
What are the benefits of data management?
Data management plays a key role in unlocking the value and agility of data and thus in propelling the business forward. With modern data management, data remains secure, always-fast, and always-on; IT gains new ways to reduce the firefighting that holds it back; and businesses teams leverage unprecedented access to data across clouds to focus on areas that drive innovation.
How can HPE help solve your data management challenges?
HPE accelerates business transformation by radically simplifying data management via the HPE GreenLake edge-to-cloud platform. Organizations can now 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 GreenLake for Storage, 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 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, 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.