Big Data & Hadoop Essentials in Ongole
Handle data at scale: Hadoop, HDFS, MapReduce, Hive, Spark overview & big-data ecosystem for analyst and M.Tech careers.
★★★★★ 4.7/5 · 👥 800+ learners · ⏱ 3 Months · 📶 Advanced
Course Highlights
- Rare skill — less competition, good pay
- Hands-on Hadoop cluster practice
- Hive SQL + Spark overview
- Excellent for M.Tech dissertation topics
Detailed Syllabus — Big Data & Hadoop Essentials
Module 1: Big Data Foundations
- 3Vs, ecosystem & use cases
- HDFS architecture & commands
- MapReduce programming basics
Module 2: Hive & Spark
- Hive SQL on big datasets
- Spark RDD/DataFrame overview
- Mini project: log analytics
🎓 Attend a FREE Big Data & Hadoop Essentials demo class
See the teaching quality yourself — 3 Months, classroom / online, certificate included. Call +91 92471 05525 to book.
Careers After This Course
Tools & Technologies
Big Data & Hadoop Essentials — FAQs
Working data professionals, M.Tech students choosing dissertation topics, and analysts targeting data-engineering roles.
📚 Official Resources & References
- Apache Hadoop Docs — apache.org
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