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What are 3 questions that should be asked in an RFP?

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What are 3 questions that should be asked in an RFP?

Questions to Ask Before Starting the RFP Process

  • What is the problem?
  • What are your goals for the project, and do they align with the goals of your company?
  • What are your requirements?
  • What is the scope of the project?
  • Does the new solution integrate with existing systems?
  • What is your budget?
  • What is your timeline?

What should be in an RFP response?

Your essential steps to a good RFP response are: Carefully read through the RFP and take the time to understand what the client is asking for. Review the requirements with stakeholders to ensure you can meet them. Draft questions that need answered from the wider business.

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What questions can Big Data answer?

Big Data Interview Questions & Answers

  • Define Big Data and explain the Vs of Big Data.
  • How is Hadoop related to Big Data?
  • Define HDFS and YARN, and talk about their respective components.
  • What do you mean by commodity hardware?
  • Define and describe the term FSCK.
  • What is the purpose of the JPS command in Hadoop?

How do you prepare RFP questions?

Questions for your team and stakeholders

  1. What is the project budget?
  2. What are the end goals of the project?
  3. What factors are crucial deal breakers?
  4. Which factors of the product or service are most important?
  5. Will the RFP be a multi-step process?
  6. How will vendors be evaluated and scored?

How do you improve RFP response?

5 steps to improving your RFP response process

  1. Only chase RFPs you can win.
  2. Focus on content.
  3. Set clear definitions of roles and responsibilities.
  4. Get to know your resources.
  5. Rinse & repeat.
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What makes Big Data analysis difficult to optimize?

What makes Big Data analysis difficult to optimize? Explanation: Both data and cost effective ways to mine data to make business sense out of it makes Big Data analysis difficult to optimize.

What are the main components of Big Data?

Main Components Of Big Data

  • Machine Learning. It is the science of making computers learn stuff by themselves.
  • Natural Language Processing (NLP) It is the ability of a computer to understand human language as spoken.
  • Business Intelligence.
  • Cloud Computing.