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Online Certified CourseBig Data Analytics
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Course Modules
Unit 01 Introduction To Big Data
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Unit 02 The Hadoop Distributed Files System
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Unit03 Mapreduce Framework
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Learning Objectives
- Explain the fundamental concepts, characteristics, and applications of Big Data.
- Understand the Hadoop ecosystem, HDFS architecture, and distributed storage mechanisms.
- Apply MapReduce programming concepts for large-scale data processing.
- Use Apache Pig, Apache Hive, and Apache Spark for efficient data analysis and processing.
- Understand NoSQL databases and perform basic MongoDB operations.
- Analyze and process structured, semi-structured, and unstructured data using modern Big Data tools.
- Design simple Big Data workflows and analytics solutions for real-world applications.
- Evaluate the use of Big Data technologies across various industries.
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Why This Course Matters
- Provides a strong foundation in modern Big Data technologies and distributed computing.
- Develops practical skills in Hadoop, HDFS, MapReduce, Apache Pig, Hive, Spark, and MongoDB.
- Enhances the ability to manage and analyze massive datasets efficiently.
- Introduces scalable data storage and high-performance parallel processing techniques.
- Builds expertise in NoSQL databases for handling structured and unstructured data.
- Develops analytical and problem-solving skills using real-world Big Data scenarios.
- Demonstrates the application of Big Data in healthcare, finance, retail, agriculture, manufacturing, and e-commerce.
- Offers hands-on exposure to industry-standard Big Data frameworks and analytics tools.
- Prepares learners for careers as Big Data Analyst, Data Engineer, Hadoop Developer, Spark Developer, Data Scientist, Business Intelligence Analyst, and Data Analytics Professional.
- Equips learners with the knowledge and practical skills required to build scalable, data-driven solutions for modern organizations.
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What You'll Learn in Each Module
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Overview & Objectives
Big Data Analytics
Structured online learning designed to help learners build practical speaking, presentation and interpersonal ability.
About This Course
This course introduces the fundamentals of Big Data Analytics, covering the concepts, technologies, and tools used to store, process, and analyze large-scale datasets. Learners will gain practical knowledge of the Hadoop ecosystem, HDFS, MapReduce, Apache Pig, Apache Hive, Apache Spark, NoSQL databases, and MongoDB. The course equips students with the skills to process distributed data, build scalable analytics solutions, and apply Big Data technologies to solve real-world business and research problems.
Meet Your Trainer
Qamer Fatima
Qamer Fatima is a faculty member and researcher currently serving as an Assistant Professor in Computer Science and Engineering at Stanley College of Engineering and Technology for Women, Hyderabad. Her research interests lie in Artificial Intelligence, Machine Learning, Deep Learning, and healthcare applications, with a strong focus on multimodal Parkinson’s Disease detection using EEG and MRI data. She has actively contributed to research publications, book chapters, and international conferences, reflecting her growing engagement in academic research. She has also been selected as a Research Intern at the Centre for Image and Vision Computing (CIVC), Centre of Excellence for Artificial Intelligence, Multimedia University, Malaysia, where she is gaining international exposure in advanced AI research, data analysis, and scientific publication. With expertise in Python, TensorFlow, Keras, and deep learning frameworks, she is committed to developing impactful, research-driven solutions and is recognized for her analytical thinking, mentoring ability, and continuous pursuit of innovation in intelligent healthcare systems.
