Big Data Analytics: Level-01
Introduction to Big Data Analytics: level-01
Overview:
- Learn to work with Hadoop, Spark, and NoSQL. Perform large-scale data processing and uncover insights using analytics tools.
- Duration: 2 Months
Topics Covered:
- Advanced data processing with Apache Spark
- Data warehousing and management with Hadoop
- Real-time data processing and streaming
- Data integration and ETL pipelines
- Basic data modeling and analytics
Syllabus
Learning Outcome
- Enhance skills in processing and managing big data, implement real-time data processing, and build data integration pipelines while performing intermediate data analysis.
Reviews
🛣️ Big Data Analytics Roadmap for Level 1 (Intermediate)
Strengthen your understanding of Big Data by working with distributed systems, real-time processing, and analytical frameworks like Spark, Hive, and Kafka.
Big Data Analytics Level 01
Enhance your knowledge in Hadoop ecosystem, Pig, HBase, Spark, and streaming analytics for big data processing.
Big Data Analytics Level 02
Master NoSQL databases, big data visualization, cloud integration, and advanced project execution.
Internship
Apply your big data skills on real projects during a free 1-year internship for hands-on experience.
Mini Project
Work on guided projects to demonstrate your abilities in big data analytics and visualization.
Expected Jobs
Prepare for roles like Big Data Engineer, Hadoop Developer, Data Analyst, and Business Intelligence Analyst.
🏆 Career Destinations
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