Abstract
This chapter focusses on implementation of the data lake (DL) in cloud and the significance of data lake where the pre-existence of a data warehouse (DW) helps businesses to take decisions. In general, data lake is not a replacement of existing data warehouse applications but there is a high need for modernizing the data platform architecture in the industry to sustain and stabilize the growing consumer needs. This chapter provides an overview on data warehouse, basics of DW, benefits of DW, date lake, architecture of data lake, need for data lake, components and design of data lake in the cloud and data lake storages, data transformation and data security.
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