A Data Lake is a huge pool of raw data. Think of it as a secure copy of your database in the cloud.
Why should I create a Data Lake?
By utilziing a Data Lake, you can optimze storage costs, and shift the batch processing of data analytic jobs away from your main application online or offline databases. This improves overall application scalablility and significantly reduces costs by reducing needs of oversized clusters.
What is the difference in a Data Warehouse and a Data Lake?
A Data Warehouse is a data store that has already been structed, filtered and processed for a specific use case. Data Warehouses often have a single schema for all analytics and reporting needs.
What source database connectors do you currently support?
Data Lake Generator currently supports MSSQL, MySQL, Postgres, and SQLite database types natively.