"Clarifying
When we say cloud gaming, we refer to a video gaming experience using cloud computing, right? Assumption: Yes.
Understanding of cloud computing first. I'll use some analogies:
Imagine you are looking to do heavy computing but don't have a powerful CPU and GPU.
CPU and GPU are like your big calculators.
You can buy a powerful CPU and GPU, but problems:
It costs a lot to buy.
It costs a lot to run.
You don't need it 24-7.
You are not a un"
Darpan D. - "Clarifying
When we say cloud gaming, we refer to a video gaming experience using cloud computing, right? Assumption: Yes.
Understanding of cloud computing first. I'll use some analogies:
Imagine you are looking to do heavy computing but don't have a powerful CPU and GPU.
CPU and GPU are like your big calculators.
You can buy a powerful CPU and GPU, but problems:
It costs a lot to buy.
It costs a lot to run.
You don't need it 24-7.
You are not a un"See full answer
Product Manager
Concept
+3 more
🧠Want an expert answer to a question? Saving questions lets us know what content to make next.
"Tell me about a time you were with someone on your team who was struggling to meet objectives.
How did you address the situation?
What kind of feedback did you give the individual?
What was the outcome?"
Jawahir Y. - "Tell me about a time you were with someone on your team who was struggling to meet objectives.
How did you address the situation?
What kind of feedback did you give the individual?
What was the outcome?"See full answer
"Hadoop is better than PySpark when you are dealing with extremely large scale, batch oriented, non-iterative workloads where in-memory computing isn't feasible/ necessary, like log storage or ETL workflows that don't require high response times. It's also better in situations where the Hadoop ecosystem is already deeply embedded and where there is a need for resource conscious, fault tolerant computation without the overhead of Spark's memory constraints. In these such scenarios, Hadoop's disk-b"
Joshua R. - "Hadoop is better than PySpark when you are dealing with extremely large scale, batch oriented, non-iterative workloads where in-memory computing isn't feasible/ necessary, like log storage or ETL workflows that don't require high response times. It's also better in situations where the Hadoop ecosystem is already deeply embedded and where there is a need for resource conscious, fault tolerant computation without the overhead of Spark's memory constraints. In these such scenarios, Hadoop's disk-b"See full answer
"Firstly, congratulations to both the interviewer and interviewee. This was a great learning experience
However, being a Full Stack engineer and I was having the following suggestions around the Data Model -
Driver & Approval can be two different tables
Approval & Document - Approval can be a tuple of (userid,documentid) - comments against a rejection (marks the document which triggers rejection)In this way we can capture the entire history of approval workflow (initiate/pending/appr"
Nilanjan D. - "Firstly, congratulations to both the interviewer and interviewee. This was a great learning experience
However, being a Full Stack engineer and I was having the following suggestions around the Data Model -
Driver & Approval can be two different tables
Approval & Document - Approval can be a tuple of (userid,documentid) - comments against a rejection (marks the document which triggers rejection)In this way we can capture the entire history of approval workflow (initiate/pending/appr"See full answer
"Clarify: I'm assuming that a workplace chat app is similar to something like Slack or Teams, which is a web app/mobile platform for employees to securely message each other directly or in a grouping (i.e. a channel). I'm also assuming that this workplace app is for a generic company, and not Microsoft or Salesforce.
Goals: Workplace apps serve a vital connective tissue within enterprises to allow employees to freely message one another and collaborate on projects. These services a"
William D. - "Clarify: I'm assuming that a workplace chat app is similar to something like Slack or Teams, which is a web app/mobile platform for employees to securely message each other directly or in a grouping (i.e. a channel). I'm also assuming that this workplace app is for a generic company, and not Microsoft or Salesforce.
Goals: Workplace apps serve a vital connective tissue within enterprises to allow employees to freely message one another and collaborate on projects. These services a"See full answer