Big Data: Big data is defined as large scale data set that requires more advanced technologies in order to store, access and retrieve the data. Users can access any type of data from large data sets. Big data supports the following types of data Structured data: Data can be stored, accessed by the defined rules or formats like relational tables. This is known as structured data. Unstructured data: Heterogeneous data like combination of text files, image files and video files are difficult to access. This type of data is known as unstructured data. Semi-structured data: It is a combination of both structured and unstructured data. Example: Extended Markup Language (XML) file.

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Chapter 11, Problem 11CT

Program Plan Intro

Big Data:

Big data is defined as large scale data set that requires more advanced technologies in order to store, access and retrieve the data.

Users can access any type of data from large data sets.

Big data supports the following types of data

Structured data: Data can be stored, accessed by the defined rules or formats like relational tables. This is known as structured data.

Unstructured data: Heterogeneous data like combination of text files, image files and video files are difficult to access. This type of data is known as unstructured data.

Semi-structured data: It is a combination of both structured and unstructured data. Example: Extended Markup Language (XML) file.

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Answer 2

Question

Chapter 11, Problem 11CT

Program Plan Intro

Big Data:

Big data is defined as large scale data set that requires more advanced technologies in order to store, access and retrieve the data.

Users can access any type of data from large data sets.

Big data supports the following types of data

Structured data: Data can be stored, accessed by the defined rules or formats like relational tables. This is known as structured data.

Unstructured data: Heterogeneous data like combination of text files, image files and video files are difficult to access. This type of data is known as unstructured data.

Semi-structured data: It is a combination of both structured and unstructured data. Example: Extended Markup Language (XML) file.

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Answer 3

Question

Chapter 11, Problem 11CT

Program Plan Intro

Big Data:

Big data is defined as large scale data set that requires more advanced technologies in order to store, access and retrieve the data.

Users can access any type of data from large data sets.

Big data supports the following types of data

Structured data: Data can be stored, accessed by the defined rules or formats like relational tables. This is known as structured data.

Unstructured data: Heterogeneous data like combination of text files, image files and video files are difficult to access. This type of data is known as unstructured data.

Semi-structured data: It is a combination of both structured and unstructured data. Example: Extended Markup Language (XML) file.

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Answer 4

Question

Chapter 11, Problem 11CT

Program Plan Intro

Big Data:

Big data is defined as large scale data set that requires more advanced technologies in order to store, access and retrieve the data.

Users can access any type of data from large data sets.

Big data supports the following types of data

Structured data: Data can be stored, accessed by the defined rules or formats like relational tables. This is known as structured data.

Unstructured data: Heterogeneous data like combination of text files, image files and video files are difficult to access. This type of data is known as unstructured data.

Semi-structured data: It is a combination of both structured and unstructured data. Example: Extended Markup Language (XML) file.

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Answer 5

Chapter 11, Problem 11CT

Program Plan Intro

Big Data:

Big data is defined as large scale data set that requires more advanced technologies in order to store, access and retrieve the data.

Users can access any type of data from large data sets.

Big data supports the following types of data

Structured data: Data can be stored, accessed by the defined rules or formats like relational tables. This is known as structured data.

Unstructured data: Heterogeneous data like combination of text files, image files and video files are difficult to access. This type of data is known as unstructured data.

Semi-structured data: It is a combination of both structured and unstructured data. Example: Extended Markup Language (XML) file.

Answer 6

Chapter 11, Problem 11CT

Program Plan Intro

Big Data:

Big data is defined as large scale data set that requires more advanced technologies in order to store, access and retrieve the data.

Users can access any type of data from large data sets.

Big data supports the following types of data

Structured data: Data can be stored, accessed by the defined rules or formats like relational tables. This is known as structured data.

Unstructured data: Heterogeneous data like combination of text files, image files and video files are difficult to access. This type of data is known as unstructured data.

Semi-structured data: It is a combination of both structured and unstructured data. Example: Extended Markup Language (XML) file.

Answer 7

Chapter 11, Problem 11CT

Program Plan Intro

Big Data:

Big data is defined as large scale data set that requires more advanced technologies in order to store, access and retrieve the data.

Users can access any type of data from large data sets.

Big data supports the following types of data

Structured data: Data can be stored, accessed by the defined rules or formats like relational tables. This is known as structured data.

Unstructured data: Heterogeneous data like combination of text files, image files and video files are difficult to access. This type of data is known as unstructured data.

Semi-structured data: It is a combination of both structured and unstructured data. Example: Extended Markup Language (XML) file.

Answer 8

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Answer 11

Ch. 11 - Define the terms, database and database software....Ch. 11 - Prob. 2SG Ch. 11 - Prob. 3SG Ch. 11 - Prob. 4SG Ch. 11 - Prob. 5SG Ch. 11 - Explain how a DBMS might manage deleted or...Ch. 11 - Prob. 7SG Ch. 11 - Prob. 8SG Ch. 11 - Prob. 9SG Ch. 11 - Prob. 10SG

Solution Summary: The author defines Big Data as large scale data set that requires advanced technologies in order to store, access and retrieve the data.

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