DATA MANAGEMENT
WHAT IS DATA MANAGEMENT?
Data management is the collection, storage, protection, movement, and use of data by an organization across the full data lifecycle and across edge, cloud, and on-prem data infrastructure. The goal of data management is to provide secure always-on, always-fast access to data and to ensure data is protected and mobile across clouds—and to unlock value from data everywhere.
Why does data management matter?
Data has never had more value than it has today. It’s now the lifeforce of the enterprise and has the potential to transform organizations, accelerate innovation, improve customer experiences, and drive operational efficiency. Yet, as exponentially more data is created in various formats and at the Edge, 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 a hybrid, multi-cloud environment, 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, cost of governance, compliance, and lack of data control across clouds and edges can be major road blockers for data-first initiatives such as AI. Data may be stored in both structured and unstructured formats 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 and can increase risk. To simplify data management, businesses today require a data-first approach that delivers the cloud operational model by design and is 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 become data-first in their approach. 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 as IT embraces new ways to reduce the firefighting that holds it back; And data is mobile across clouds, accessible everywhere, and enables businesses 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 HPE GreenLake, HPE’s edge-to-cloud platform that enables you to avoid the costs, risks, and latency of moving your data to and from the public cloud, while meeting the 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. In addition, IT teams can focus on innovation with fully managed storage as a service and a cloud operational model for every workload with HPE GreenLake for Storage. HPE enables IT teams to transform from operator to service provider and to start managing business outcomes instead of infrastructure.
HPE GreenLake enables organizations to harness:
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. It provides a suite of cloud services across your 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.
Everything is delivered with the agility of elastic scale and a pay-per-use structure that links business value to use.
HPE GreenLake is powered by cloud-native data infrastructure and AI-driven insights:
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—through cloud-native management of your entire environment from a single, SaaS-based console. Cloud-native HPE Alletra delivers high performance and non-disruptive scale, all backed by 100% availability guarantees for your mission-critical workloads.
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 make every system smarter and more self-sufficient.