HPE0-V28 Exam Dumps - Delta - HPE Edge-to-Cloud Solutions

doing ongoing maintenance tasks

creating new apps

learning about next-gen technologies

working on innovation initiatives

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.

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

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

by redirecting compute-intensive apps to wired connections

by giving mobile devices highest priority on the network

by providing low latency networks with end-to-end quality of service

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

They confine data and memory-driven computing to the network core.

They build a silicon root of trust into IoT device hardware.

They can onboard, monitor, and apply policies to BYOD and IoT devices.

They ensure that archived data is encrypted and compliant with regulations.

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

the need for faster insights from data

the need for desktop virtualization

the need for flexible storage and compute scaling

the need for data virtualization in the cloud

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.

HPE GreenLake cloud services

Traditional solution

Virtual events

Agile innovation methods

HPE delivers a one-size-fits-all cloud option that you can target to small, medium, and large customers.

HPE provides an extensive partner ecosystem to ensure that the HPE solution fits in many environments.

HPE and Aruba together deliver HPC applications that are optimized for the small-to-medium business (SMB).

HPE has developed vertical-specific variations of its analytic software solutions.

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.

This customer could be a good prospect for HPE Machine, which is designed to enhance the power of configuration automation tools such as these.

This customer is not a good prospect for an HPE Hybrid IT solution at this point, because the company has already invested in automation tools.

This customer could be a good prospect for HPE Hybrid IT solutions, which integrate with these tools to create a fully-programmable infrastructure.

This customer is probably a better prospect for HPE Intelligent Edge, because the company needs a modern network environment to use these tools successfully.

Qualifying the customer requirements

Selecting the right HPE and 3rd party products and services

Documenting customer intent

Planning the solution design

Customer churn rate

Number of product returns

Mean time between failures

Employee satisfaction score

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

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

the need for desktop virtualization

the need for flexible storage and compute scaling

the need for data virtualization in the cloud

the need for faster insights from data

Designing the solution based on customer requirements

Validating the customer requirements

Architecting the solution

Documenting customer intent

The customer wants deep insights into big data collected at the edge.

The customer wants to accelerate provisioning to provide on-demand IT.

The customer wants to improve user experience in an open office environment.

The customer wants to reduce costs and regain control of the data center.

inventing new technologies for HPE Hybrid IT and HPE Intelligent Edge

decreasing the number of partnerships in order to focus on opportunities with top 10 industry leaders

increasing marketing budgets for server, storage, and hyperconverged products

making strategic acquisitions that enable them to deliver complete solutions

focusing on HPE Hybrid IT and de-emphasizing Mobile First Wireless solutions