Choosing the wrong data warehouse can lead to significant wastage of time and money. More than 50% Analytics projects fail due to wrong data tools. Selecting the data warehouse can be challenging due to different pricing model, features and performance characteristics.
* Difference Between Data Lake and Data Warehouse. Which one do you need?
* Top 5 Factors to Consider while evaluating Data Warehouses
* Comparison of Popular Warehouses- Snowflake vs Redshift vs BigQuery vs Hive vs Athena
