Managing data

Introduction to Data Literacy

Anneleen Rummens

Data Scientist

Databases: basic concepts

  • Database management system (DBMS): software for managing databases

  • Different types of databases:

    • Relational vs. document database
    • Data warehouse vs. data lake

  • Designing and optimizing database systems is typically the responsibility of a data engineer

Logos of common DBMS software

Introduction to Data Literacy

Data storage in the cloud

  • Data is stored on remote servers and accessed over the Internet
  • Service provided by a specialized third party
  • Cost-effective, but security dependent on third party

Logos of common cloud providers

Introduction to Data Literacy

Automation through data pipelines

  • Pipelines move data from one database to another
  • Automated collection and storage via the ETL process:
    • Extract
    • Transform
    • Load
  • Ensures the availability of up-to-date and accurate data

Metal pipes

Introduction to Data Literacy

Getting data from databases

  • Querying: access and retrieve data
  • Query with Structured Query Language (SQL)
  • Further analysis with programming languages like R or Python

Icons of SQL, R and Python

Introduction to Data Literacy

Dashboards

  • Provides information at a glance,such as Key Performance Indicators (KPIs) and other metrics
  • Receives data from a linked database
  • Data is typically presented in a very visual
  • Multipurpose tool: also used for exploratory analysis of the data and communicating
  • Typically created and managed by a data analyst

Laptop displaying a dashboard with KPIs and graphs

Introduction to Data Literacy

Let's practice!

Introduction to Data Literacy

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