Which among the following data can be processed using the big data technology?

1 Answer. The correct answer is option C (Big data can be processed with traditional techniques). Big data cannot be processed with traditional techniques like relational database systems because big data is huge and it can be semi-structured and unstructured data.

What type of data does big data process?

Put simply, big data is larger, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software just can't manage them. But these massive volumes of data can be used to address business problems you wouldn't have been able to tackle before.

Which of the following are big data technologies?

Foremost Big Data Technologies Trending in 2020

• Artificial Intelligence. ...
• NoSQL Database. ...
• R Programming. ...
• Data Lakes. ...
• Predictive Analytics. ...
• Apache Spark. ...
• Prescriptive Analytics. ...
• In-memory Database.

What are the 3 types of big data?

The classification of big data is divided into three parts, such as Structured Data, Unstructured Data, and Semi-Structured Data.

Which of the following are examples of big data?

9 Big Data Examples & Use Cases

• Transportation.
• Advertising and Marketing.
• Banking and Financial Services.
• Government.
• Media and Entertainment.
• Meteorology.
• Healthcare.
• Cybersecurity.

Big Data Tools and Technologies | Big Data Tools Tutorial | Big Data Training | Simplilearn

Which of the following is a type of big data Mcq?

Answer - C) There are three forms of big data- unstructured, structured, and semi-structured.

What is an example of big data Brainly?

1}entering and tracking a company's daily transaction records in a spreadsheet. 2)tracking the work hours of 100 employees with a real-time dashboard. 3)providing real-time data feeds on millions of people with wearable devices. 4)sending user survey responses from various store branches to a single, central database.

Which of the following is not a data type of big data?

The correct answer is option D (can be analyzed with traditional spreadsheets). Big data cannot be analyzed with traditional spreadsheets or database systems like RDBMS because of the huge volume of data and a variety of data like semi-structured and unstructured data.

What are the main components of big data Mcq?

[MCQs] Big Data

• Introduction to Big Data.
• Hadoop HDFS and Map Reduce.
• NoSQL.
• Mining Data Streams.
• Finding Similar Items and Clustering.
• Real Time Big Data Models.

What are the 5 characteristics of big data?

The 5 V's of big data (velocity, volume, value, variety and veracity) are the five main and innate characteristics of big data. Knowing the 5 V's allows data scientists to derive more value from their data while also allowing the scientists' organization to become more customer-centric.

What is the best big data technology?

Top Big Data Technologies

• Data Storage.
• Data Mining.
• Data Analytics.
• Data Visualization.

Which of the following is best big data?

1 Answer. The correct answer is option A (Big data refers to data sets that are at least a petabyte in size). Big data is normally referred as the large volume of data like petabyte and exabyte in size (1 petabyte = 1,00,000 GB).

Which of the following products are big data products?

4 Top Big Data Products

• Cloudera. Cloudera recently launched Cloudera Enterprise 4.0 Big Data management platform, as well as the fourth-generation of the company's distribution of the Apache Hadoop software known as CDH4. ...
• Datameer. ...
• Kognitio. ...
• Lucid Imagination.

What are the three methods of data processing?

There are three main data processing methods - manual, mechanical and electronic.

• Manual Data Processing. In this data processing method, data is processed manually. ...
• Mechanical Data Processing. Data is processed mechanically through the use of devices and machines. ...
• Electronic Data Processing.

Which one of the following refers to the data about data?

Right Answer is:

The Mata Data refers to the type of data that describes the other data or information.

What can big data be used for?

Big data is the set of technologies created to store, analyse and manage this bulk data, a macro-tool created to identify patterns in the chaos of this explosion in information in order to design smart solutions. Today it is used in areas as diverse as medicine, agriculture, gambling and environmental protection.

Which of the following is a characteristic of big data Mcq?

3. Which of the following characteristic of big data is relatively more concerned to data science? Explanation: Big data enables organizations to store, manage, and manipulate vast amounts of disparate data at the right speed and at the right time. 4.

Which of the following would not use big data analysis?

1 Answer. It would be high school students doing homework, who would not use big data analytics to get the job done.

Which of the following is not a big data technology Mcq?

6. Which of the following are incorrect Big Data Technologies? Explanation: Apache Pytarch is incorrect Big Data Technologies.

Which one of the following option is the real time application of big data Mcq?

Which one of the following options is the real-time application of big data (Hadoop)? Hadoop is a popular open source application of big data that is used in computing a large amount of information and data. Along with that, it is used in the management of media files such as audio, video text and images etc.

Which of the following is not a major data analysis approaches Mcq?

2. Which of the following is not a major data analysis approaches? Explanation: Predictive Analytics is major data analysis approaches not Predictive Intelligence.

What is an example of big data Mcq Brainly?

Answer. Explanation: Big Data analytics examples includes stock exchanges, social media sites, jet engines, etc.

What is an example of big data analytics?

Big data analytics helps businesses to get insights from today's huge data resources. People, organizations, and machines now produce massive amounts of data. Social media, cloud applications, and machine sensor data are just some examples.

What is an example of big data Accenture?

sending user survey responses from various store branches to a single, central database. providing real-time data feeds on millions of people with wearable devices. tracking the work hours of 100 employees with a real-time dashboard.