4-Step Action Plan to Equip Data Scientists for the Hybrid World
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Have you assessed the tools your data scientists need to thrive in and out of the office?
No matter where data teams are working from, they require high-performance computing power. But the quick fixes that IT relied on in the early days of hybrid work—like VDI and VPNs—just aren’t robust enough to meet these users’ compute-intensive needs.
Data scientists require an experience that’s consistent with their powerful office workstation, as lag times and unplanned interruptions may throw their work off course, inhibiting productivity. The security vulnerabilities inherent in less secure, “band-aid” solutions could prove problematic too—increasing both the risk of a breach and resulting unplanned downtime.
Given the sheer amount and value of data they work on, data scientists certainly top the list of ideal targets for hackers. When petabytes of sensitive data are being processed daily over at-home or public connections, securing your company’s intellectual property and personally identifiable information is imperative. Ultimately, IT must deliver mature work-from-home solutions that enable secure, remote access to the horsepower an in-office data science computer provides.
IT decision makers can adapt the steps outlined here to their own needs, as they choose tools to enable their remote data scientists who depend on workstation-class resources for their job functions.
Assess your current environment
The first step is to take stock of how well your existing environment serves the needs of compute-intensive data scientists. This assessment will help you understand where the strengths and weaknesses lie in your current approach.
Start with end-user devices:
Identify data-access requirements:
Factor in complexity:
The shift to having hybrid data teams for the long haul brings challenges and
opportunities to rethink the current environment compared to one that is built and optimized specifically with flexible workstation access in mind. HP ZCentral delivers an excellent user experience, cost efficiencies over other approaches, and secure remote access to workstation resources.
Plan for
performance needs
After assessing your current environment, start considering what an optimal hybrid work environment for your data teams would look like. Delivering workstation performance over relatively slow broadband networks is fundamentally more difficult than over a LAN. New approaches to providing access to applications and data may be needed to support remote data teams.
Survey data workloads:
Determine infrastructure suitability:
Investigate infrastructure options:
A centralized computing infrastructure with ZCentral and racked Z workstations can deliver up to 16-33% higher performance at up to 59-72% of the cost of server-based virtualization.1 Even organizations that are dedicated to server-based or cloud-based workstation virtualization find that layering HP and Teradici remote access software on top of their existing solutions can dramatically improve performance and end-user experience.
Solution stack for data teams
HP delivers a purpose-built solution stack for remote workstation access that rivals the experience of working locally, with significant performance, cost, and security advantages over other approaches.
Z Desktop Workstations
HP and Teradici Remote Access Software
HP and Teradici Connection Management Software
HP ZCentral:
Technical and Business Advantage
ZCentral solutions compared to server- hosted virtualized workstations.
16–33%
higher performance
59–72%
of the cost
Survey system requirements for data scientists
Having identified the current state of your environment and begun understanding the overall organization’s immediate and future needs, consider the requirements of individual data scientists and data teams. You may find significant variation, from their frequency of workstation access to the types of devices they will use to access those resources.
Decide what end-user devices are needed:
Identify workstation-usage patterns:
Identify the tasks that require dedicated performance:
ZCentral offers the unique ability to move desktop workstations from data scientists’ desks to the compute room, install ZCentral software on Z devices2 and enable them to access those resources both in the office and remotely. HP ZBook laptops can be used at home when only certain tasks require the additional performance of a racked workstation. Individual workstations can have one dedicated user or be available to a broader group of users to be checked out when needed. Entire facilities have made the switch within 24-48 hours.
Evaluate security ramifications
Having remote teams work on data-intensive projects from outside the controlled confines of the business raises the need to protect that data. Especially when devices become involved that aren’t company-issued, data owners are rightly concerned about unauthorized access and compromise.
Assess all the locations of your data:
Gauge priorities of performance versus security:
Integrate connectivity and security:
Data never leaves the data centers of organizations that adopt ZCentral for a centralized computing model and infrastructure. All processing and visual rendering is done on the racked workstations within a secured environment.
The only information that HP and Teradici remote access software transmits over the broadband network is the pixel information to draw the display on the target user device, and the underlying data is never exposed, eliminating that attack surface.
With HP and Teradici remote access software, you keep your sensitive data and IP in a controlled compute room, sending only pixels over the wire to remote data scientists.
Conclusion
Strategies for hybrid work must satisfy cost, performance and security requirements. For data teams, this often means that traditional virtualization and remote desktop tools are not the best approach.
ZCentral offers innovative solutions with world- class performance, security and reliability at considerable savings for hybrid data scientists.
Z equips IT professionals with the powerful tools their data teams need to accelerate their workflow.
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