Data Governance

MDM

Data Stewardship

Data Quality

Data Security

  • Encryption
  • Erasure
  • Masking
  • Resiliency

DataWarehousing

Elements

  • Bottom tier: Relational database

  • Middle tier: OLAP server(either ROLAP or MOLAP-based) with ELP solution, Stat analysis, reporting and data mining capabilities

  • Top tier: Client analysis tools for visulizing and presenting data to users

Data Privacy

Practices

  • Encryption
  • Access Control
  • Two-factor authentication

Big Data Management

5 V’s of Big Data:

  • Volume
  • Value
  • Variety
  • Velocity
  • Veracity

Data Types

Qualitative Data

  • Nominal Data
    • Often used for classifying based on features
  • Ordinal Data
    • Add layer of info by indicating “better”

Quantitative Data

  • Discrete Data
    • Countable and distinct values, often whole numbers and cannot be broken down
  • Continuous Data
    • Represents measurements and can take on an infinite number of values within given range

Techniques

  • Classification

  • Regression

  • Clustering