Big Data Systems: What You Need to Know Before Deployment: What are the steps to deploy a big data solution? You need to keep track of your deployment’s health, and you do this through the pros and cons of large-scale deployments. It also talked about some things to know about deploying big data solutions/systems in data and analytics techniques and Edge computing.

In the first place, big data solutions and/or systems require a moderate amount of preparation prior to creating any kind of plan for the building and operations of a data lake and corresponding data systems. Also, since big data technology comes at a high cost for any organization, it’s important to make sure that the cost is justified through preparing a big data solutions that best suits the needs and objectives of the organization it will be serving.

Furthermore, even though some tech companies has a lot to offer in terms of simplifying the process of setting up a data management system, no big data vendor can predict your organization’s specific requirements for that data system. Therefore, the best way to ensure your organization gets just the right fit in big data technologies is to know what metrics will need to be fulfilled by the ideal big data system. We recommend you look at the Big Data Trends Analytics 2020/2021 (& Years to come).

Understand Data Solution / System Needs

As can be seen above, data system vendors can’t possibly know what your organization’s specific needs are in a big data management environment. In addition, knowing which big data vendor to choose for your organization’s data warehouse needs becomes significantly simpler when you can list what your organization needs to gain from such a system. This is to say that it will assist in eliminating any big data solutions vendors that are not capable of meeting your organization’s requirements. View Reference.

These are some questions you can answer to help clarify what your organization needs to gain from big data technologies include:

  • First; what data systems are you currently using for delivering analytical data to your organization’s stakeholders?
  • Secondly; what do you like about that form of data management? What do you dislike about it?
  • Thirdly; how do you currently use these data management systems? What would you like to be able to use them for?
  • Fourth, what kind of reports and analysis would you like to be able to use your data system for?
  • Lastly; what are some key ways you would like to improve your data management system or processes?

Know Data Lake Priorities

Oh yes! Now that we all have a general idea of what you’re looking for in a big data system, it’s time to figure out what your priorities are among those goals. A workshop or use case assessment, typically offered by big data vendors to prospective clientele, can go a long way in assisting your organization with aligning team priorities. This can be achieved by identifying their key use case scenarios, and securing the organization’s project buy-ins.

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Going forward, for us to know exactly what big data technology has to offer allows your organization to brainstorm needs or problems, evaluate the value of each one, and assign a number of priority to them. The interactivity offers a hands-on style approach to discovering the big data system needs of the organization and dreaming up ways to tackle each one.

Immediately you have this kind of list prepared, a grid can be designed that organizes high-need essentials down to low-need extras. As a matter of fact, this grid will be key not only in helping you to select which big data technologies you will need to purchase but also in developing the first projects to tackle once the organization has a new data management system in place.

Analyze Data Management Needs

Consequently, now that you know what your organization needs and wants to do with its big data systems, it’s the crucial time to examine the data systems it currently has to determine what needs upgrading.

These are some important questions to ask include:

  1. What do you already have installed?
  2. Out of this, what can be reused as part of a new big data system?
  3. Can any of your existing data system be utilized better than it currently is?
  4. What needs to be bought to improve and upgrade your existing data system?
  5. Out of the needed purchases, which purchases apply to your highest priorities for the new big data system?
  6. Which of these purchases will have the greatest longevity? The ideal purchases will not only provide everything you need for today but may be applied for future needs as well.
  7. Which social experts have the greatest interest in building new solutions for the organization?
  8. What could be simply accomplished today?
  9. Does this synchronize with the career aspirations of your business users?

It’s pretty easy to forget about the people that will be using the new data management system, but they are actually one of the most important considerations in preparing for a big data system deployment. In order for the new big data technology to be successful, its users need to be excited and supportive towards the change.

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If the data management system can be tied in with long-term projects and career development, users will be more likely to be eager to personally invest and make the best use of the new data system.

Know Your Data Management Team

Talking of how important the big data management users will be, there is more to consider in preparing a plan for big data system deployment which directly ties in to who will be using it, including:

  • Technical skills — First of all, do your users have the technical skills needed to use this new big data technology? If not, what cost will be involved in training them to use it, and how much time will it take them to grow proficient with the new data system?
  • Time management needs — Secondly, how much time should it be taking your users to make use of the new big data system for various tasks related to their jobs? How much time can the new data system save users, so they can become more efficient at their jobs?
  • Travel — The question is; will any of the data management team be traveling while they make use of the new big data system? If so, what security measures will need to be in place to secure their usage of the data system? Are there any new security measures or technologies that can be used to better secure their usage of the big data system while they are on the road?
  • User roles — Let me ask; what are the roles of data management users? How will the data system be used by each type of role? How can the big data system become more efficient for different user roles?

Knowledge Is A Big Data Power Advantage

In conclusion, when you know the specific metrics needed for each aspect of a new big data solutions/system deployment, it doesn’t just make it easier to select a big data vendor and build the data system. Check out the Privacy & Confidentiality Protection in Big Data Policies.

On the other hand, it also ensures that your organization’s big data technology budget will be best used in building the most efficient and powerful data system for the organization’s and user’s specific needs. Furthermore, it also enhances the cost efficiency of further big data system enhancements and upgrades, enabling the new data system’s investments to last for many years to come.

Finally, Hybrid cloud Tech is prepared to take your organization’s big data system to the next level. The big question is: are you?


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