Big Data Analytics

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About the Program

Big Data Analytics refers to the process of examining, processing, and analyzing large volumes of data, often referred to as "big data." Big data is characterized by its volume, velocity, variety, and complexity, and it typically exceeds the capacity of traditional data processing systems.

Big Data Analytics involves the use of advanced technologies and methodologies to extract valuable insights, patterns, and knowledge from massive datasets.

Advantage @DGU

  • Dehradun - A Safe, Beautiful & Cosmopolitan Education City.
  • Bundle of Industry Integrated Value Added Certificates.
  • Students from 23 States & 5 Countries on campus.
  • Multiple Placements for all.
  • More than 250+ Companies for Campus Placement.
  • Possibilities of International Exposure.
  • Separate in campus Girls & Boys hostels with Modern Sporting & Gym facilities.

Here are key aspects and components of Big Data Analytics

Key Characteristics of Big Data


Refers to the sheer size of the data generated, collected, and processed. Big data often involves datasets that are terabytes, petabytes, or even exabytes in size.


Describes the speed at which data is generated, collected, and processed. With the advent of real-time data sources, the velocity of data has become crucial for timely analysis.


Represents the diversity of data types and formats. Big data includes structured data (e.g., databases), semi-structured data (e.g., XML, JSON), and unstructured data (e.g., text, images, videos).


Relates to the complexity of data that may come from various sources, including social media, sensors, logs, and more. Analyzing such diverse and complex data requires sophisticated techniques.


Refers to the quality and reliability of the data. Big data sources may contain inaccuracies, inconsistencies, or errors, posing challenges for analysis.

Components of Big Data Analytics

Data Collection

Involves gathering data from various sources, including sensors, social media, transactional systems, and more.

Data Storage

Big data is often stored in distributed and scalable storage systems, such as Hadoop Distributed File System (HDFS), NoSQL databases, and cloud-based storage solutions.

Data Processing

Utilizes distributed computing frameworks like Apache Hadoop and Apache Spark to process large volumes of data in parallel across multiple nodes.

Data Analysis

Involves applying various analytical techniques and algorithms to extract meaningful insights, trends, and patterns from the data. This includes statistical analysis, machine learning, and predictive modeling.

Data Visualization

Presents the analyzed data in a visual format through charts, graphs, dashboards, and other visualization tools. Visualization aids in understanding complex patterns and trends.

Machine Learning and Predictive Analytics

Incorporates machine learning algorithms to make predictions, classifications, and recommendations based on historical and real-time data.

Text and Sentiment Analysis

Analyzes unstructured text data, such as social media comments or customer reviews, to understand sentiment, opinions, and patterns.

Real-time Analytics

Enables the analysis of data as it is generated in real-time, allowing organizations to make immediate decisions and respond to changing conditions promptly.

Data Security and Privacy

Ensures that data is stored and processed securely, complying with privacy regulations and protecting sensitive information.

Applications of Big Data Analytics

Business Intelligence

Helps organizations gain insights into market trends, customer behavior, and competitive landscapes.

Healthcare Analytics

Enables analysis of large healthcare datasets to improve patient care, treatment outcomes, and optimize hospital operations.

Financial Analytics

Supports risk management, fraud detection, and investment strategies in the financial sector.

Supply Chain Optimization

Analyzes supply chain data to enhance efficiency, reduce costs, and improve logistics.

Smart Cities

Utilizes data from various sources to enhance urban planning, traffic management, and public services.

Predictive Maintenance

Predicts equipment failures and optimizes maintenance schedules by analyzing data from sensors and machinery.

Big Data Analytics is a critical component in today's data-driven world, offering organizations the potential to gain valuable insights, improve decision-making, and drive innovation. It requires a combination of technology, data management, and analytical expertise to harness the full potential of big data.

How to Apply

In order to pursue this program, the students can talk to our counceller or use links below for further details:

Student Speak

Dhruv Tripathi

I am delighted to say that the faculties and the staff has helped me to achieve these dreams. Here, I not only had the chance to develop on my technical skills but also on other aspects such as Leadership & Management skills.

Saswati Pattjoshi

⁠I am very thankful to the department faculty and the placement cell that helped me achieve this while guiding me at every stage. My experience with the placement procedure was really great as I got to learn a lot. The placement cell is very well versed about each step.

Satyam Shekhar

⁠It is a great experience being at DBSGU. Our CDC department has helped a lot during the process of placement. They make sure that each student is well prepared for the interview.

Jyoti Nainwal

I am really thankful towards our college and placement cell, for supporting and providing us opportunities to learn interview skills, communication skills and guiding us in placements. The staff was supportive and informed us with enough notice regarding every placement drive.

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Placements Enjoy Everyday while
Ensuring Great Career

At DBSGU each student gets the opportunity to appear for more than 250+ companies each year and each student is able to get the optimum placement deserved. The maximum take home salary has been Rs. 20.5 Lakhs & CTC 23.5 Lakhs. Based on the intensity of training and exposure involved in the management program chosen by students at DBSGU, they are offered positions ranging from Mid-level Manager, Functional Expert, Consultant (Entry Level), Entry Level Managerial and Domain Trained positions.

Interested in this program? Talk to counsellor @ +91 7259162060
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