Question

1. Describe how atomic transactions are ensured?

2. Explain briefly why companies need a data warehouse (or a big data system)?

Answer 1

Answer 1:

• Atomic Transactions are related to Database activities where a lot of activities should all finish or else none of them complete.
• For instance, on the off chance that somebody is reserving a flight, you need to both get installment and save the situate or do not one or the other. On the off chance that it is possible that one was permitted to prevail without the other additionally succeeding, the database would be conflicting.
• The mutual exclusion of critical sections guarantees that the critical sections are executed atomically. That is, if two critical sections are executed simultaneously, the outcome is proportional to their successive execution in some obscure requests.
• Despite the fact that this property is helpful in numerous application areas, by and large, we might want to ensure that a critical section shapes a solitary coherent unit of work that either is acted completely or isn't acted in any way.
• A model is reserved move, in which one record is charged and another is credited. Plainly, it is fundamental for data consistency either that both the credit and charge happen or that neither happens.
• Consistency of data, alongside capacity and recovery of data, is a worry frequently connected with database frameworks. As of late, there has been an upsurge of enthusiasm for utilizing database-frameworks strategies in working frameworks.

Answer 2:

Here are some reasons why companies need a data warehouse:

Guarantee consistency:

Data warehouses are customized to apply a uniform arrangement to every single gathered datum, which settles on it simpler for corporate leaders to dissect and impart data experiences to their associates far and wide. Institutionalizing data from various sources additionally decreases the danger of mistakes in understanding and improves in general precision.

Settle on better business choices:

• Fruitful business pioneers create data-driven methodologies and infrequently settle on choices without counseling the realities.
• Data warehousing improves the speed and effectiveness of getting to various data sets and settles on it simpler for corporate leaders to infer experiences that will direct the business and advertising techniques that set them apart from their rivals.

Improve their primary concern:

• Data warehouse stages enable business pioneers to rapidly get to their association's authentic exercises and assess activities that have been fruitful — or ineffective — before.
• This enables officials to see where they can alter their methodology to diminish costs, boost productivity and increment deals to improve their main concern.

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