Importance of Big Data in Transforming the World

In today's rapidly evolving digital landscape, data has become the lifeblood of every industry. The sheer volume, velocity, and variety of data generated daily have sparked a paradigm shift in how we approach information and harness its potential. This is where the transformative force comes into play and the importance of Big Data could be seen. Amidst this data-driven revolution, individuals armed with a B.Tech degree have a unique advantage. The Bachelor of Technology, or B.Tech in Data Science, is a comprehensive educational program that equips students with a deep understanding of data, and its principles. 

In this blog, we will explore the importance of Big Data in transforming the world and shed light on why Big Data is important and how a B.Tech degree can be the catalyst for harnessing its power.

What is Big Data?

Big data refers to extremely large and complex sets of data that cannot be easily managed, processed, or analysed using traditional data processing techniques. 

It encompasses data that is characterised by the volume, velocity, and variety of information it contains. 

The term "big data" also includes the tools, techniques, and technologies used to collect, store, process, and analyse such vast amounts of data.

Importance of Big Data

The importance of Big data stems from valuable insights and plays a significant role in various domains and industries. Here are some key reasons why big data is important:

• Big data provides organisations with a wealth of information and insights that can aid in informed decision-making. Analysing large volumes of data helps identify trends, patterns, and correlations, enabling businesses to make data-driven decisions and formulate effective strategies.
• It optimises processes, identifies bottlenecks, and streamlines operations. This helps organisations to identify areas for improvement, reduce costs, enhance productivity, and optimise resource allocation.
• Big data enables organisations to gain a deeper understanding of their customers. By analysing customer behaviour, preferences, and feedback, businesses can enhance customer experience and loyalty.
• Big data analytics plays a crucial role in fraud detection and security across industries. By analysing vast amounts of data in real time, organisations can detect anomalies, identify fraudulent activities, and mitigate security risks.
• Big data analytics aids in risk assessment and management across industries. By analysing historical data, market trends, and real-time information, organisations can assess and mitigate risks, make accurate predictions, and proactively address potential challenges.

Career in Big Data

• To build a career in Big Data you are required to first have a bachelor’s degree in big data analytics or data science. A B.tech degree in Data Science is the most chosen option among students.
• In order to pursue B.tech in Data Science students must have completed their high school from a recognised board, and with a minimum of 60-65%. Admission to top universities is done by clearing a few top engineering entrance exams.
• While there are few other top B.Tech colleges that take admission in engineering programs based on merit. 
• To have a career in Big Data you should develop useful skills for job applications during your B.tech Program. Apply for relevant B.tech internships or training programs for upskilling yourself. 

Need for Big Data Analytics

The need for big data analytics arises from the increasing volume, velocity, and variety of data being generated in today's digital world. Here are some key reasons why big data analytics is crucial:

• Handling Large Volumes of Data: It is essential for managing and processing large volumes of data that cannot be effectively handled by traditional data processing methods. It provides the tools and techniques to store, process, and analyse massive datasets efficiently.
• Cost Optimisation and Efficiency: By analysing operational data, organisations can streamline operations, reduce costs, improve resource allocation, and enhance overall efficiency.
• Real-Time Analytics: This capability is particularly important in industries such as finance, telecommunications, and e-commerce, where immediate insights can drive timely actions, fraud detection, personalised recommendations, and customer engagement.
• Enhanced Decision-Making: It reduces reliance on intuition and guesswork, allowing decision-makers to have a more comprehensive understanding of the business landscape and make informed choices.
• Improved Customer Understanding: By analysing customer behaviour, preferences, feedback, and interactions across various channels, businesses can tailor their products, services, and marketing strategies to meet customer needs and enhance customer satisfaction.

Skills required to build a career in Big Data

Here are some essential skills that can help you excel in the field of big data:

• Programming Skills: You should be comfortable with data manipulation, analysis, and processing tasks using libraries and frameworks.
• Data Management: Understanding the principles of data management, including data modelling, data integration, and data warehousing concepts.
• Data Visualisation: The ability to create compelling visual representations of data helps in communicating insights effectively.
• Analytical Skills: Analytical thinking and the ability to approach complex problems systematically are valuable assets for identifying patterns, recognising data-driven opportunities, and formulating effective solutions. 
• Communication Skills: Effective communication skills, both written and verbal, are important for explaining complex data concepts to non-technical stakeholders. 

Future Scope of Big Data

If you pursue a career in big data, you can expect a wide range of future opportunities and a promising scope in various industries. Big data has become increasingly important as organisations recognise the value of analysing large volumes of data to gain insights and make data-driven decisions. Here are some potential future prospects for a career in big data:

Job Roles	Job Description	Average Salary
Big Data Architect	You will be responsible for designing the overall data architecture and infrastructure of an organisation.	₹27 LPA
Data Scientist	You will be responsible for generating reports and visualisations to communicate insights to stakeholders.	₹9.2 LPA
Business Intelligence Developer	You will be responsible for building and maintaining data visualisation tools and dashboards that enable businesses to understand and analyse their data.	₹7.4 LPA
Data Engineer	You will be responsible for optimising data pipelines, ensuring the efficient storage and processing of large datasets.	₹7.2 LPA
Data Analyst	You will be responsible for designing and implementing complex algorithms and models to extract meaningful insights from big data.	₹4 LPA
Data Manager	You will be responsible for overseeing the entire lifecycle of data, including data collection, storage, quality assurance, and security.	₹3.8 LPA

Conclusion

The importance of Big Data in transforming the world cannot be overstated. It has become a driving force behind groundbreaking discoveries, unprecedented efficiency, and societal progress. With a B.Tech degree in hand, individuals possess the knowledge and skills to unlock the power of Big Data, paving the way for a future where data-driven decision-making becomes the norm. 

If you are an aspiring student who wants to pursue a career in communication engineering then opting for a B.tech degree from Sunstone will be the best choice you could make. Sunstone will help you to build your skills with diverse career options. We work to create your professional portfolio that will increase the chances of your placement with our 100% placement support.

FAQs - Importance of Big Data

Which degree should I pursue to build my career in Big Data?

To build a career in Big Data a B.Tech degree in Data Science is the best option. 

Is B.Tech a good choice?

B.Tech is a good choice for those who want to build their career in technical fields. B.tech degree provides both theoretical and practical learning to the students during the course period. Hence, preparing the students for a better career after graduation.

What is the duration of the B.Tech course?

The course duration of the B.tech course is four years in every college and university.

What can I opt for after B.Tech?

Either you can look for various job opportunities or you can pursue courses like M.Tech and MBA programs.

Is B.tech easy to pass?

It depends on how dedicated you are while pursuing a B.Tech program. It is easy to pass if you are thorough with the syllabus.