Big Data Internship
Big Data refers to extremely large and complex datasets that cannot be processed or analyzed using traditional data processing methods. It involves collecting, storing, and analyzing massive volumes of structured, semi-structured, and unstructured data to uncover patterns, trends, and insights. Big Data is crucial in fields like business analytics, healthcare, e-commerce, finance, and IoT for making data-driven decisions.
Who Can Join
- Engineering Students:
- Core data-focused branches – CSE, IT, AI, ML, Data Science, ITM, ITC.
- Related branches – ECE, EEE, Mechatronics interested in data-driven systems.
- Core data-focused branches – CSE, IT, AI, ML, Data Science, ITM, ITC.
- Diploma Students
- Diploma in CSE, IT, ECE, EEE looking to enter analytics and data engineering roles.
- Diploma in CSE, IT, ECE, EEE looking to enter analytics and data engineering roles.
- Arts & Science Students
- B.Sc / M.Sc in Computer Science, Physics, Mathematics, Commerce (with data focus).
- B.Sc / M.Sc in Computer Science, Physics, Mathematics, Commerce (with data focus).
- Computer Applications
- BCA, MCA, CA – Applications (CSE/IT).
- BCA, MCA, CA – Applications (CSE/IT).
- Commerce & Management
- B.Com (CA), BBA, MBA students keen on applying data analytics to business decision-making.
- B.Com (CA), BBA, MBA students keen on applying data analytics to business decision-making.
- Final Year / Pre-Final Year Students
- Seeking academic projects (mini/major/IEEE) in data analytics, visualization, or predictive modeling.
- Seeking academic projects (mini/major/IEEE) in data analytics, visualization, or predictive modeling.
- Beginners
- Anyone with a basic understanding of programming and databases who wants to step into the world of Big Data analytics.
- Anyone with a basic understanding of programming and databases who wants to step into the world of Big Data analytics.
- Career Aspirants
- Students preparing for roles in Data Engineering, Big Data Analytics, Business Intelligence, or Cloud Data Platforms.
- Students preparing for roles in Data Engineering, Big Data Analytics, Business Intelligence, or Cloud Data Platforms.
- Professionals aiming to enhance their skills in data engineering and analytics.
How Big Data is Taught at Prasartech
At Prasartech Projects and Solution, training focuses on hands-on experience with Big Data tools and frameworks. Students learn how to handle huge datasets, perform real-time analytics, and work with distributed computing systems.
Industry-Relevant Skills
Interns will gain expertise in:
- Big Data concepts, architecture, and ecosystem.
- Hadoop Distributed File System (HDFS) and MapReduce.
- Apache Spark for real-time and batch data processing.
- Data ingestion tools like Apache Kafka and Flume.
- Data querying and analysis with Hive, Pig, and SQL on Hadoop.
- Big Data concepts, architecture, and ecosystem.
Hands-On Project Work
- Processing and analyzing large datasets using Hadoop and Spark.
- Real-time streaming analytics projects.
- Big Data integration with cloud platforms.
- Predictive analytics on massive datasets.
- Processing and analyzing large datasets using Hadoop and Spark.
Expert Mentorship
Students receive guidance from experienced Big Data professionals who teach industry best practices, performance optimization techniques, and real-world application workflows. Regular project reviews ensure accuracy and efficiency.
Outcome
- Proficiency in handling, processing, and analyzing large-scale datasets.
- Readiness for careers in Big Data analytics, data engineering, and business intelligence.
- Proficiency in handling, processing, and analyzing large-scale datasets.
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