The Eighth Report Of My Challenge | Answered Two Questions
2 more questions are covered now.
After the release of the seventh report, I got many answers. Now It's time for the eighth report in which I am going to answer 2 more questions.
I recorded a video about the same topic also that you can watch and it will help you better understand it.
The first question is:
What is compute cost, what is network cost, and storage cost? How the networking cost is more than the others?
Compute Cost
Compute cost refers to the cost associated with running computational processes on computing resources such as servers, CPUs, GPUs, and other computing devices.
This cost is typically measured in terms of the amount of processing power used over a given period of time, such as hours or minutes. Compute cost can vary depending on factors such as the complexity of the computational tasks, the amount of data being processed, and the type of computing resources being used.
Network Cost
Network cost refers to the cost associated with transferring data over a network, such as an internet or a private network.
This cost can include factors such as bandwidth usage, data transfer rates, and network latency.
Network costs can vary depending on the amount of data being transferred, the distance between the data source and destination, and the type of network being used.
Storage Cost
Storage cost refers to the cost associated with storing data on storage devices, such as hard drives, solid-state drives, or cloud storage systems. This cost can include factors such as the amount of storage space used, the frequency of data access, and the durability and reliability of the storage medium.
In general, networking cost is often higher than compute and storage costs because data transfer over the network requires the use of expensive networking infrastructure such as routers, switches, and other network devices.
In addition, network costs can be affected by factors such as data volume, distance, and the need for secure and reliable data transmission.
The second question is:
What is a query engine?
A query engine is a software component that is responsible for processing and executing database queries. It is a critical component of database management systems (DBMS), which allow users to interact with and retrieve data from a database.
The query engine receives queries from users, typically written in a programming language such as SQL, and translates them into commands that can be executed by the database. The query engine then optimizes the execution plan for the query based on the database schema, indexes, and other factors, in order to ensure efficient and accurate retrieval of data.
Modern query engines often include features such as caching, parallel processing, and distributed query processing, which allow for faster and more scalable query execution. Some query engines are specifically designed for specific database types or use cases, such as data warehousing or real-time data analysis.
Query engines are a critical component of modern data processing and analysis systems, allowing users to quickly and easily retrieve data from large and complex databases.
Resources
Next Step
The next step is to solve two more questions that I have added here. You can check them out.
That's it for now. Did you like this blog? Please let me know.
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Happy Learning!