HP HPE0-V28 Dumps

the need to protect servers against malware at the silicon level

the need to track meeting room utilization

the need to encrypt big data and archived data

the need to secure guest and BYOD access

HPE lets the customer maintain workloads/applications on Dare metal white providing much of the automation and flexibility associated with visualization.

HPE has found that most performance issues with virtualization arise from insufficient remote storage, and HPE has industry leading storage solutions.

HPE integrates with leading visualization vendors to enhance the efficiency of the visualization layer and boost compute there.

HPE has developed a proprietary virtualization technology, which can support the performance requirements of the most demanding workloads.

The customer has already allocated a significant portion of their IT budget to a competing solution.

The customer has a strategy for ingesting data collected from IoT devices and analyzing the data at the core.

The customer wants to shift from a CAPEX model to an OPEX model.

The customer has heard of HPE Synergy and The Machine, and understands why these solutions are so innovative.

Operating costs and overhead decrease.

Collaboration becomes more efficient.

IT moves from a support role to a business role in the company.

Line-of-Business (LoB) managers create their own stealth IT projects.

The customer wants to know if better collaboration tools will improve employee productivity.

The customer is interested in updating their wired and wireless network to include a unified management solution.

The customer wants to implement user-based access to prevent unauthorized users from gaining access.

The customer has been trying to automate their infrastructure but is seeing few results.

They keep data analytics operations safely behind the data center firewall.

They enable sophisticated threat detection all the way to the edge of the network.

They redirect attacks to cloud-based security services environments.

They are resistant to attacks because they have a distributed architecture.

the time since the customer's last network refresh

the customer's data management strategy

the struggles the customer has in securing loT

how the customer uses open office space

It automatically deploys patches to all desktops at the network edge.

It ensures that all data remains securely in the data center.

It includes security monitoring as a service as part of the solution.

It embeds a silicon root of trust in every desktop.

It removes the need for making capital expenditures in the data center.

It requires fewer IT resources than public cloud.

It offers more scalability than public cloud.

It enables self-service provisioning within the customer's IT infrastructure.

Hadoop is a new technology, and most enterprises are waiting to implement it until larger companies, such as Google, have demonstrated its effectiveness.

Most companies have successfully implemented Hadoop already; you will find the most promising opportunities in moving customers from Hadoop to online transactional databases.

Half of enterprise customers have implemented Hadoop, but most still experience issues, partially due to an infrastructure not designed to support big data.

Most companies have found that Hadoop is less effective for handling big data; they prefer open-source solutions such as SAP HANA.

Deploying VDI takes less advance planning than enabling users to access resources through a VPN.

VDI ensures that the data users access most often is stored locally and is easily accessible.

IT can manage the desktop environment much more easily and quickly with VDI.

VDI often provides twice the performance of traditional desktop infrastructure.

the development of SQL databases

the shift toward systems of record

the proliferation of unstructured data

the expansion of structured data

Documenting requirements in a way that is easy to understand for technical experts only

Gathering requirements from a single stakeholder to avoid conflicting inputs

Asking open-ended questions to gather as much information as possible

Avoiding any requirements that are difficult to implement

It reduces over-provisioning by allowing the redefinition of resources for current needs.

It allows customers to shift from a traditional workplace to a more efficient open office.

It permits customers to move expensive analytics away from the core to the edge.

It helps customers identify the legacy hardware that consumes the most power.

a company that is purchasing some services in public cloud but is concerned about public cloud security

a company that recently updated their data center and anticipates no further updates for at least a year

a company that does not think pay-as-you-go funding options ultimately benefit companies and that wants to maintain a CAPEX model

a small company that wants to move from a small on-premises network to public cloud

Qualifying the customer requirements

Selecting the right HPE and 3rd party products and services

Documenting customer intent

Planning the solution design

by providing high-speed Wi-Fi with wire-like reliability

by giving mobile devices highest priority on the network

by redirecting compute-intensive apps to wired connections

by ensuring all forms of traffic are treated in the same way

Designing the solution based on customer requirements

Validating the customer requirements

Architecting the solution

Documenting customer intent

HPE GreenLake cloud services

Traditional solution

Virtual events

Agile innovation methods

increased facilities ROI and improved productivity

reduced application provisioning time and enhanced DevOps

lower storage TCO and faster insights from analytics

reduced overprovisioning in the data center and lower TCO

Average revenue per customer

Mean time to repair

Social media sentiment analysis

Number of employees

Ensuring that the solution is compatible with the latest technology trends

Determining the budget for the project before assessing requirements

Identifying the stakeholders and their specific needs and concerns

Avoiding any customization to minimize complexity

doing ongoing maintenance tasks

creating new apps

learning about next-gen technologies

working on innovation initiatives

Ensuring that the solution aligns with the latest technology trends

Determining the budget for the project before assessing the impact

Analyzing the solution's potential impact on existing business processes and systems

Avoiding any customization to minimize complexity