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What is Big Data?

By simplivllc ·
Examples Of Big Data
Types Of Big Data
Characteristics Of Big Data
Advantages Of Big Data Processing
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Big data

by arysondc In reply to What is Big Data?

Big Data refers to the enormous amount of data that the analyst needs to make a sense of. This data is analyzed for some fruitful conclusions for the big companies. Data regarding trends, consumer behavior, and similar questions are answered.

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About Big Data

by rescuesysdata14 In reply to What is Big Data?

Big Data are data is a collection in which so large or so complex that the traditional data management tools are not able to collect it or process it efficiently. However, there is a lot of potential value hidden in this data, so organizations are eager to harness it for a competitive advantage.

Types Of Big Data are
1. Unstructured

Unstructured data relates to the data that lacks any specific form or structure whatsoever. Which makes it very hard and time-consuming to process and examine unstructured data. Email is an example of unstructured data.

2. Semi-structured

Semi-structured data concerns the data containing both the formats mentioned above, that is, structured and unstructured data. To be accurate, it relates to the data that although has not been classified under a particular repository (database), yet contains vital information or tags that segregate individual elements within the data.

Basically there are three types of Big Data Categories that are mentioned below.
1) Variety
2) Velocity
3) Volume

Examples Of Big Data where it is used
1) Healthcare
2) Academia
3) Banking
4) Manufacturing
5) IT

There are various advantages of processing Big Data Analytics in real-time.
1. Understanding errors immediately within the organization.
2. Executing new strategies.
3. To enhance service dramatically.
4. Cheating can be detected the moment it happens.
5. Cost savings.
6. Better sales insights.
7. Keep up the customer trends.

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About Big Data

by rescuesysdata14 In reply to What is Big Data?

Big Data are data is a collection in which so large or so complex that the traditional data management tools are not able to collect it or process it efficiently. However, there is a lot of potential value hidden in this data, so organizations are eager to harness it for a competitive advantage.

Types Of Big Data are
1. Unstructured

Unstructured data relates to the data that lacks any specific form or structure whatsoever. Which makes it very hard and time-consuming to process and examine unstructured data. Email is an example of unstructured data.

2. Semi-structured

Semi-structured data concerns the data containing both the formats mentioned above, that is, structured and unstructured data. To be accurate, it relates to the data that although has not been classified under a particular repository (database), yet contains vital information or tags that segregate individual elements within the data.

Basically there are three types of Big Data Categories that are mentioned below.
1) Variety
2) Velocity
3) Volume

Examples Of Big Data where it is used
1) Healthcare
2) Academia
3) Banking
4) Manufacturing
5) IT

There are various advantages of processing Big Data Analytics in real-time.
1. Understanding errors immediately within the organization.
2. Executing new strategies.
3. To enhance service dramatically.
4. Cheating can be detected the moment it happens.
5. Cost savings.
6. Better sales insights.
7. Keep up the customer trends.

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