This document discusses database engineering and types of databases such as relational, non-relational, and object stores. It also discusses data integration, which combines data from different sources into a new dataset. For example, data from a CRM, advertising, and web analytics can be integrated to create a user profile stored in a data warehouse. Additionally, reverse ETL can send this new user profile back to the CRM for salespeople to use in prioritizing leads.

1. TEST PRESENTATION
Database engineering

2. Types of DBs
TRANSACTIONAL RDB NOSQL DB OBJECT STORES

3. Infographics
Whereas data ingestion is data movement from point A to B, data integration combines data
from disparate sources into a new dataset. For example, you can use data integration to
combine data from a CRM system, advertising analytics data, and web analytics to create a
user profile, which is saved to your data warehouse. Furthermore, using reverse ETL, you
can send this newly created user profile back to your CRM so salespeople can use the data
for prioritizing leads