Description:

Big Data refers to massive volumes of structured and unstructured data that are too complex for traditional processing systems. It involves techniques and tools to store, process, and analyze large datasets for meaningful insights.

What Students Will Learn:

  1. Introduction to big data and its importance

  2. 5 V’s of Big Data: Volume, Velocity, Variety, Veracity, Value

  3. Tools and technologies: Hadoop, Spark, HDFS

  4. Basics of data storage and processing frameworks

  5. Data ingestion, transformation, and analysis

PlatformPython
Weekly hours5 hours per week
Duration30 days
QualificationPursuing  B.E, B.TECH, M.E, M.TECH, MCA,MSC, BCA, BSC,DIPLOMA
ModeOnline
LanguageEnglish
Time SlotsFlexible (Global timings)