Question 1

What is big data?

Accepted Answer

Big data is defined as data with greater diversity, coming in higher volumes and with greater velocity.

The benefits of big data are

Big data reduces cost: It reduces cost by leveraging analytics to provide the company with better insight to increase revenue by cost-cutting of operations.
Big data helps improve prices: Use a business intelligence tool to examine your finances, providing you with a more accurate view of your company.

Some of the big data applications are in the following sectors

Cyber security and intelligence
Crime prevention and prediction

Question 2

Can a beginner learn big data?

Accepted Answer

Yes, a beginner can learn big data with the help of plenty of resources and courses available in online mode.

Basic knowledge required to learn big data includes

Java
Python
Scala
Ubuntu
Linux
Apache Hive
Pig
HBase
Thrift,
SQL.

Here is a list of courses that can help beginners to start a career in Big data

Further, here are some blogs and resources that can also be helpful

Datafloq
AWS Big Data Blog
Precisely Blog

Question 3

What is the difference between big data and data?

Accepted Answer

Most people think big data and data are the same. Although the two branches are interdependent and work with the help of data, there are some major differences between them.

The major difference between data and big data is

Data	Big Data
Data is generated at the enterprise level.	Big data generated outside and expertise level.
The range of data varies between Gigabytes to Terabytes.	The range of big data is high. It ranges from petabytes to Exabytes.
It deals mainly with structured data.	It deals with unstructured, semi-structured and structured data.
It is generated based on per hour or minute.	It is generated more frequently than is second.

Question 4

How do big data courses help in learning?

Accepted Answer

Big data courses are available at various levels. For the PG diploma and master's course in Big data, a candidate needs to complete his graduation in computer science or a related subject from any recognized university.

The duration of certification courses ranges from a few weeks to a few months. The UG courses are of 3 years, whereas the duration of PG courses is 2 years. The big data courses are available in both online and offline modes. Big data certification gives professionals with non-technical backgrounds the push they need to succeed in the field.

It helps in teaching skills such as

Analytical Skills
Data Visualization Skills
Familiarity with Business Domain and Big Data Tools
Skills of Programming
Problem-Solving Skills

The big data courses cover various skills and tools like

Basic of programming
Integration and testing
NoSQL Databases
ETL and Data ingestion
Testing and version control
SDLC and agile methodology

Question 5

Which is the best course for big data?

Accepted Answer

Big data has a bright future ahead of it, thanks to technological advancements such as increased access to enormous volumes of data, allowing organizations to acquire more insights, increase performance, create income, and change more quickly.

Here are some of the best Big data courses

Data	Big Data
Data is generated at the enterprise level.	Big data generated outside and expertise level.
The range of data varies between Gigabytes to Terabytes.	The range of big data is high. It ranges from petabytes to Exabytes.
It deals mainly with structured data.	It deals with unstructured, semi-structured and structured data.
It is generated based on per hour or minute.	It is generated more frequently than is second.

Question 6

How can I become a Big Data Engineer?

Accepted Answer

To become a big data engineer, you need to have the relevant qualifications, work experience, and optional certifications. For that, you can enroll in a diploma or UG course specialised in big data technology. Also, you must possess some skills, including coding, Data warehousing, the idea of Operating systems, and analytics. You can also opt for certificate courses easily available on platforms like Coursera, Careervira, Udemy, and many more.

Question 7

What are the prerequisites for taking up this Big Data Analytics course?

Accepted Answer

Anyone with a Bachelor's degree, preferably in Science or Computer Science, can take a bigdata technology course. These requirements are for degree programs, but aspirants with any background can enroll in a certificate course. You need to have an aptitude in mathematics and knowledge of Hadoop, SQL, R, Python, and other programming languages.

Big data is a fast-growing domain with great career opportunities for professionals in various industries and worldwide. With the increasing demand for skilled big data professionals, now is a great time to enter the job market by gaining relevant big data skills.

Question 8

Is learning big data worth it in 2022?

Accepted Answer

Yes, learning big data is worth it because big data technology is a rapidly evolving topic that offers interesting opportunities to professionals in various sectors and locations worldwide. According to the Monster Annual Trends report, it will likely be the most in-demand role in 2022. According to the BLS projections, the job of a big data engineer is likely to increase in demand significantly in the next four-to-five years, making this career a good career path to pursue. The fact is that there is more demand than offer, which leads to people with bigger paychecks and desired skills.

Question 9

What are the career/job opportunities if we enrol in this course?

Accepted Answer

The scope and growth of this sector are enormous because of various bigdata applications. According to LinkedIn, more than 24,000 job vacancies are posted for Big data engineers on LinkedIn alone. Big data is required in various sectors like scientific, technical services, IT, Finance, insurance, and many more.

Different job roles offered to big data professionals are as follows

Data	Big Data
Data is generated at the enterprise level.	Big data generated outside and expertise level.
The range of data varies between Gigabytes to Terabytes.	The range of big data is high. It ranges from petabytes to Exabytes.
It deals mainly with structured data.	It deals with unstructured, semi-structured and structured data.
It is generated based on per hour or minute.	It is generated more frequently than is second.

Question 10

What is the average salary of a Big Data Engineer?

Accepted Answer

According to Glassdoor, the average annual salary of big data engineers in the U.S. is $109,650. The average annual salary of a big data engineer in India is ₹7,82,465 per year. However, these are just average figures, and they can be much more if you have valid and good experience.

Overall, it can be concluded that big data engineers earn a decent salary. Also, the number of job vacancies for big data engineers is comparatively high. According to a report published by LinkedIn, there are more than 20,000 vacancies for big data engineers posted in 2022. Hence, we can say that learning big data is worth investing in.

Big Data

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