Your organization needs to ingest data of any format, size, and speed into the cloud in a consistent way. The solution in this article meets that need with an architecture that implements extract, transform, and load (ETL) from your data sources to a data lake. The data lake can hold all the data, including transformed and curated versions at various scales. The data can be used for data analytics, business intelligence (BI), reporting, data science, and machine learning.
