Question 1

What do you understand by the term Big data?

Accepted Answer

Big data is unstructured, semistructured, and structured data that gets generated and processed every second someone uses a smartphone and invests their time in things like messages, media, phone calls, social apps, etc. Organizations then analyze and manage this data to offer better performances and services to their customers. It allows the creation of a more individualistic platform for every targeted audience.

Question 2

What are the 5 Vs of Big data?

Accepted Answer

The five Vs that big data consist of are -

Volume: The amount of the data that is getting accumulated

Velocity: At what speed, a certain amount of data is getting accumulated

Variety: The variety in the data, including structured, unstructured, and semistructured data

Veracity: The accuracy of the data

Value: The part of the data that brings profit to the businesses

Question 3

What do you understand by the term big data Hadoop?

Accepted Answer

Hadoop is one of the programs, and it and Big data go hand in hand as they almost are equivalent to each other. Hadoop is a big data specialized operation that has been recently on the rise and moving forward towards massive popularity.

Question 4

Why is big data training essential?

Accepted Answer

Big data training is important for getting a better job opportunity and contributing to a company's growth as it helps identify a customer's patterns which will result in profit. Hence, a certified data analytics course is recommended because extra knowledge never hurts; instead, it will land more job opportunities.

Question 5

How does Big Data help a business in terms of benefits?

Accepted Answer

The analysis produced by big data enables businesses to create specific products. These products are highly dependent on the needs of each customer. This is possible because big data allows the company to follow the pattern of a customer, which helps them predict their preferences. It enhances the relationship between the retailer and the customers. This increases sales and benefits them in spreading good words about their business.

Question 6

What is big data in AI?

Accepted Answer

Artificial intelligence is rapidly taking over our surroundings, thanks to rapid adoption. Human errors are avoided when AI is used. Traditional data was easier to process and could be done by humans. But the complex, massive and high-velocity datasets that are big data cannot just be done traditionally, adding to the influence of AI's decision-making. Due to its size, it can only be processed and analyzed for information in high-tech AIs.

Question 7

What problems would big data face if there were no distributed system concepts?

Accepted Answer

The distributed computing system is the only way to help store such an enormous amount of data. If there were no concept of a distributed computing system, organisations would be forced to use computers with individual memories or would need to build a computer with enormous memory space capable of processing an exhausting amount of data. It will not only cost way much to make such a device but would not be practical to practice. Hence, most companies and individuals would have been deprived of utilising Big data.

Question 8

Can I data mine Big data?

Accepted Answer

The laws regarding data mining are different in different countries. The countries where government states that any individual or organisation with lawful access to material protected by copyright has the authority to carry out analysis without asking for permission from the copyright owner. Hence, before trying to mine data, you must have a sound understanding of the respective country’s legislation.

Question 9

Why do Big data projects fail?

Accepted Answer

A handful of reasons contribute to projects utilising the power of big data failing. Some main reasons include collecting the wrong data, not defining the problems they aim to solve, not having realistic goals and objectives on how to utilise the data, and lack of right talent for skilful data analysis.

Question 10

Will Big data replace data warehouses?

Accepted Answer

No. The major similarities between data warehouses and Big data are that they hold enormous data, are useful for reporting and are managed with the help of electronic storage devices. However, both have some significant differences and purposes. The primary difference is that the big data solution is technology; however, data warehousing is an architecture. Hence, it is evident that none of them can replace each other.

Question 11

Is Big data analytics a good career?

Accepted Answer

Big data is undoubtedly one of the fastest growing fields and holds exciting global opportunities. Opting for a career in Big data can offer a handsome salary. The average salary of a Data Scientist is around $100,000, and there is also a wide range of job roles in the field to choose from.

Question 12

Does Big data processing require coding?

Accepted Answer

Yes, coding is one of the top skills required for a Big Data analyst. A Big Data analyst needs to know coding in order to perform numerical and statistical analyses of huge data sets. Some of the programming languages in which you may invest your time and money would be Python, Java, R, and C++. If not all, you must learn Python, as it has a built-in feature of supporting data processing of unstructured types.

Question 13

How is Big Data stored and managed in organisations?

Accepted Answer

Companies and big organisations utilise distributed file systems to store the unstructured type of data. This file system further helps divide the large files into categorised data blocks. These data blocks are further distributed amongst the cluster nodes. The more similar blocks are formed, the number of nodes decreases. Organisations often use data lakes as well to store big data.

Question 14

When is Big data used?

Accepted Answer

Big data is currently being used in different industries such as healthcare, education, gambling, environmental protection, etc. apart from them. Big data is also used in different government sectors and entertainment industries as well. Different companies in these industries use big data to identify patterns and trends from the explosion of data.

Question 15

Where to find Big data?

Accepted Answer

Numerous free data sets available on the internet can be used for personal analysis. Big companies usually prefer to collect their own data and curate unique data sets from them. However, you can also check free sources such as Socrata, Google Trends, Facebook Graph, etc., to find data sets.

Question 16

Which Big data technology is in demand?

Accepted Answer

Big data technologies that are high in demand in 2022 include Artificial Intelligence, Machine Learning, SQL-based technology, Apache Spark, and more.

Question 17

Which BIg data framework provides the most scalability?

Accepted Answer

Frameworks based on the MapReduce model provide the most scalability for big data storing and processing. An example of such a framework is Apache Hadoop. It is also an open-source framework which is why it is even more prevalent.

Question 18

Which database is best for Big data storage?

Accepted Answer

There are several databases to store big data. The most popular ones include:- AWS DynamoDB. Azure Cosmos DB is best suited for operational workloads, IoT, social media, etc. Best for operations management, eCommerce and gaming, and Amazon Document DB, best for storing user profiles, catalogues, and managing content.

Question 19

Which is better to study, data science or Big data?

Accepted Answer

Both data science and big data carry different objectives. If you plan to build a career utilising statistical and predictive analytics, then you should go for data science. However, if you wish to strengthen your skills in using Hadoop, R, and Tableau to curate BI reports, you should go for big data. On that note, data science jobs offer better salary packages and greater promotion opportunities.

Question 20

What is the best alternative to get data to PBI for massive data streaming?

Accepted Answer

A Synapse is a tool that multiple experts suggest as the best alternative to integrating PBI for very big data streaming. However, they also believe that the prices are significantly high compared to the size of data it streams.

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