What is hadoop

You have a database of size 500 GB and the size of the database did not drastically increase over a 6 month period and even the forecast does not indicate a dramatic increase in size in the future. This is a Big Data problem and it is best to convert this database (and its dependencies/jobs etc.) in to a Hadoop based solution.

Scenario: Due to increase in the data volume you are asked to re-engineer an online shopping website which is currently using MySQL database server as it backend. The website fetches the data from the database and also insert/delete records in the database. Users should not see a performance degradation after the re-engineering effort. Your Approach: Since Hadoop is a batch and not an interactive solution it is best to choose a NoSQL database solution

Scenario: You have an ETL job in Oracle that takes 2 hours to complete. Business users are requesting you to bring down the execution time of the job to 1 hour. Best Approach: It is recommended to add additional servers to solve this problem?

Why not use Solid State Drive (SSD) instead of Hard Disk Drive (HDD) to improve data access rate?

How do you plan to recover from data loss?

What happens to local file system when you install HDFS?

When multiple nodes request or transfer the data over the network bandwidth it will choke the network and will result in slow data transfer. What is the best way to solve this problem?