Course details

Harnessing Data Volume & Velocity: Big Data to Smart Data

Harnessing Data Volume & Velocity: Big Data to Smart Data


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Explore the concept of smart data and the associated life cycle and benefits afforded by smart data. Frameworks and algorithms that can help transition big data to smart data are also covered.



Expected Duration (hours)
0.6

Lesson Objectives

Harnessing Data Volume & Velocity: Big Data to Smart Data

  • recognize the differences between big data and smart data from the perspectives of volume, variety, velocity, and veracity
  • specify the smart data capabilities for machine learning and artificial intelligence
  • recognize how to turn big data to smart data and how to use data volumes
  • list the applications of smart data and smart process
  • recall use cases for smart data application
  • recognize the life cycle of smart data and the associated impacts and benefits
  • identify the steps involved in transforming big data to smart data using k-NN
  • describe the various smart data solution implementation frameworks
  • recall how to turn smart data to business using data sharing and algorithms
  • recognize how to implement clustering on smart data
  • integrate smart data and describe its impact on the optimization of data strategy
  • list the frameworks for smart data and specify the algorithms for smart data transition
  • Course Number:
    it_dshdvvdj_01_enus

    Expertise Level
    Intermediate