Need for

1. A data lake is a raw storage used for storing large volumes of structured and unstructured data. A
data lake is often used to collect raw data in the native format before datasets are used for
analytics purposes.
"Data Lake as a Service" provides a prebuilt cloud service that hides the complexity of the
underlying platform and infrastructure layers. The platform enables anyone in the
organization/business to create his/her data lake without the requirement of installing or
maintaining the technology themselves and can leverage the advantages of data analytics. Data
Lake as a Service provides enterprise big data processing in the cloud for faster and efficient
business outcomes in a cost-effective way.
Why do we need it?
In today’s data-driven world, every enterprise wants to leverage the benefits of analytics for
better decision making and business growth. Every enterprise consists of multiple departments,
and every department has different needs corresponding to the data. They want their data in a
separate data lake or data warehouse where it can be analyzed according to the requirements to
make business-related decisions. Enterprises also want to generate the billing corresponding to a
particular request from the department according to the usage of environment provisioned.
Where it fits?
This requirement fits very well in the enterprises which have multiple departments or companies
which want access to tools and data. Individual departments/companies want their data scientists
and analysts to play with the data while making critical business decisions to fuel business
growth. The focus of Data Lake as a Service is to define enterprise-wide reporting strategy to
create agility and scalability.