Question

The letter, ‘V’ has the greatest number of words associated with Big Data. Can you think of any other letter that comes close and associates with the next largest number of Big Data terms? List as many of those terms starting with this letter and give a brief description of each.

Answer 1

The letter ‘D’ is the letter that comes close and associates with the next largest number of Big Data terms.

Following are terms related with the letter ‘D’ and Big Data

1. Data Analytics

Data Analytics is the method of examining and processing the various data sets in order to draw some results and conclusions about the information the data sets has with the help of particular software technology.

2. Data Warehousing:

Data warehousing is the method of getting data warehouse. A data warehouse is obtained by combining data from many diverse sources that are used in analyzing the given data sets.

3. Data Integration

Data integration is the method of combining data from various sources into a single, unified view that will be used for further processing.

4. Data Aggregation

Data aggregation is any method in which information is collected and viewed in a summary form, for statistical analysis.

5. Data Visualization

Data visualization is a concept that helps to understand the importance of data by placing it in some visual context with the help of data visualization software.

6. Descriptive Analytics

Descriptive analytics method that creates a summary of data to draw some conclusion and prepares the data for further analysis

7. Dark Data

Dark data is a type of unstructured, untagged data. It is obtained from data repositories and has not been analyzed or processed. It is also called as Dusty data.

8. Data lake

A Data Lake is a data storage place that stores high volume of of structured, semi-structured, and unstructured data. It is used to store every type of data in its original format with no limits on its size.

9. Data mining

It is the method of evaluating large already pre-existing databases in order to obtain some new information.

10. Data Science

Data science is a field that uses various methods, processes, algorithms to obtain knowledge a from structured and unstructured data.

11. Data Scientist

Data Scientist are data expert who have the technical skills and deep knowledge to work under Data Analytics and associated streams.

12. Distributed File System

It is a method of storing and accessing files based in a client and server architecture.

13. Data Analyst

Data Analyst is a data analysis expert person with all the technical skills to analyze the given data.

14. Data Cleansing:

Data cleansing is the method of finding and correcting incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting it.

15. DaaS: It is the data as a service that is enabled by a software.

16. Data virtualization

Data virtualization is a method of data management that allows an application to retrieve and manipulate data sets without requiring technical details about the data,

17. Dirty Data: These are inaccurate, incomplete or inconsistent data, in a database. system