Practical Exposure: The hands-on labs with tools like Hadoop, Spark, and SQL were extremely useful.
Real-world Datasets: Working with large-scale data improved my data processing & analysis skills.
Tool Familiarity: Gained confidence in using Big Data ecosystems (HDFS, MapReduce, PySpark).
2025-07-29
Joshua
it was good for beginners
2025-07-21
Athule Mtshoniswa
i learn so much, thank you
2025-07-15
Lavesh Daryanani
The course on Hands On Big Data Analysis was insightful and well-structured. It gave me a practical overview of Big Data tools and concepts in a simple and easy-to-understand format. Perfect for beginners!
2025-06-18
DEATH GAMING
great job
2025-05-13
Kappath Mallikarjuna talakal
nice
2025-05-12
krupa N
GOOD
2025-05-11
Hemanth R
.
2025-05-11
lakshay s
course was great and helpful
2025-05-11
FABRICE KABONGO SENDA
Un super site avec des cours court et précis
2025-05-10
Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. Big data was originally associated with three key concepts: volume, variety, and velocity.