Data Warehouse: 10-Seconds Answers to Key Questions
Experienced practitioner helping professionals to understand complex data concepts in a simple way.
What is a Data Warehouse?
A centralized repository of integrated data to support data usage.
How does a Data Warehouse differ from a database ?
Data warehouse = optimized for analytics.
Database = optimized for transactions.
Which Problems does a Data Warehouse Solve?
Data silos
Data quality consistency
Slow queries
Limited historical data analysis
slow data-driven decision-making
What is the Main Difference between a Data Warehouse and a Data Lake ?
Data warehouse = stores structured data for analytics.
Data lake = stores raw, unstructured data for flexible exploration and processing.
What is the Main Difference between a Data Warehouse and a Data LakeHouse ?
Traditional data warehouse = stores data in structured tables within a dedicated database.
Data lakehouse = stores data in a data lake as delta files.
What is the difference between OLAP and OLTP systems?
OLAP (Online Analytical Processing) systems support analytical queries in data warehouses
OLTP (Online Transaction Processing) systems handle transactional queries in operational databases.
What is an ETL process in data warehousing ?
ETL (Extract Transform Load) extracts data from sources, transforms it, and loads it into the datawarehouse.
What are the key components of a data warehouse architecture?
Data sources
ETL processes
Data staging area
Data storage
Data access tools.
