The goal of data engineering is to make quality data available for fact-finding and decision-making. Which one of these statements captures the process of data engineering?
While data integration combines disparate data into a unified view of the data, a data pipeline covers the entire data movement journey from source to destination systems, and ETL is a process within data integration.
Data Marts and Data Warehouses have typically been relational, but the emergence of what technology has helped to let these be used for non-relational data?
What is one of the most significant advantages of an RDBMS?
Database partitioning helps optimize databases for performance. It does this by: