Is Big Data really a problem on its own, or are the use, control, and security o

Question

Is Big Data really a problem on its own, or are the use, control, and security of the data the true problems? Provide speci c examples to support your answer. What are the implications of having incorrect data points in your Big Data? What are the implications of incorrect or duplicated customer data? How valuable are decisions that are based on faulty information derived from incorrect data? Explain the difficulties involved in managing data. What are the problems associated with poor-quality data? What is master data management? What does it have to do with high-quality data? Explain why master data management is so important in companies that have multiple data sources. Describe the advantages and disadvantages of relational databases. Explain why it is important to capture and manage knowledge. Compare and contrast tacit knowledge and explicit knowledge. Draw the entity-relationship diagram for a company that has departments and employees. In this company, a department must have at least one employee, and company employees may work in only one department. Draw the entity-relationship diagram for library patrons and the process of checking out books. You are working at a doctor's office. You gather data on the following entities: PATIENT, PHYSICIAN, PATIENT DIAGNOSIS, and TREATMENT. Develop a table for the entity, PATIENT VISIT. Decide on the primary keys and/or foreign keys that you want to use for each entity.

Explanation / Answer

1:

The big data is an issue undoubtedly yet it is not as close starting at an issue or at the size of utilization, control, and security of the data. The digital security is one of the most concerning issue on the ascent. An illustration would be the security assault on Target.The hackers stole all the information put away within targets information base, including client's data, for example card data, name, address, character, social securities and significantly more. So not considering the fact that data is huge, the issue of the digital security and control is significantly important. The data is exorbitant however it additionally helps you settle on choices speedier, accelerates the procedure all the more then ever some time recently.

2:

Incorrect data can be a big problem, because we are relying on information that is not true and can lead to massive failure of the system. It resembles having a right name but not the address. Suppose you deliver a product like this case, the consumer can complain that he did not receive, but as per data it is delivered to the right person.

Another example can be a customer paid all the bills, but the false data updated for another customer. This could lead to disconnection of resources for the original customer. Each decision that made on faulty data would lead to a failure. So the data we have should be of clear and true information.

3:

The data is expensive to maintain and it is never to going to stop grow. The data will increase every day, so is the cost of maintenance. Another thing is company has to design policies for who to access and who to modify the data and organizing it. The data can be of different sources in different languages and it can be repetitve too. So the company should have mechanisms to handle huge amounts of data.

4:

The poor quality of data for an example redundant information of same thing, which increase costs and efforts to maintain it. Poorly organized data will lead to delay in processing and providing results

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