Identify a big data set which is between $400$MB to $500$MBto be used in Stand$-$alone MongoDB implementation and cloud based $($such as MongoDB Web or Google Cloud$)/$ Container $($such as Docker$).$ The datasets can be obtained from Kaggle and other open dataset repositories. Build MongoDB a database and populate the chosen dataset in MongoDB both stand$-$alone and MongoDB Web$/$Container$.$ You may need to download and install MongoDB and use the Mongo Web cloud services$/$Container$.$ Enter the data set into the databases. Run at least four meaningful queries that are best describing the data inside the database. Meaningful queries exclude CRUD $($Create$,$ Read, Update, Delete$)$ operations. Compare and discuss their performance in terms of ease of use, creating queries and data processing speed.

Please include the following requirements:

$1.$ Brief description of the given dataset $($about$,$ size, why it is chosen$)$

$2.$ Selection of implementation platform for MongoDB

$3.$ Installation process, database construction and data entry

$4.$ At least $4$ meaningful queries in MongoDB $($stand$-$alone$)$

$5.$ At least $4$ meaningful queries in MongoDB $($cloud$/$container$)($The queries must be identical $($same$)$ for both in stand$-$alone and cloud$/$container$)$

$6.$ Comparison, discussion and observation of their performance

$7.$ Observation, lesson learned and concluding remarks

$($PLEASE INCLUDE ALL STEPS ON THE INSTALLATION PROCESS, DATABASE CONSTRUCTION AND DATA ENTRY, HOW TO EXECUTE THE $4$ QUERIES AND EXPLAIN THEM!!$)($PLEASE ALSO INCLUDE THE DATASET!$)$