This is because a data lake is a type of storage system that stores unstructured data from different
sources, such as text, images, audio, video, etc. A data lake can be used to store unstructured data
from different sources by using a schema-on-read approach, which means that it does not impose
any structure or format on the data when it is stored, but rather applies it when it is read or accessed.
A data lake can also be used to store unstructured data from different sources by using a distributed
file system, such as Hadoop, which means that it can store large volumes and varieties of data across
multiple servers or nodes. The other storage systems are not used to store unstructured data from
different sources. Here is why:
A database management system is a type of software application that manages and controls
databases, which are collections of structured or semi-structured data that are organized into tables,
rows, and columns. A database management system is not used to store unstructured data from
different sources, but rather to store structured or semi-structured data from specific sources by
using a schema-on-write approach, which means that it imposes a structure or format on the data
when it is stored, and requires it to follow certain rules and constraints, such as primary keys, foreign
keys, or referential integrity.
A database is a type of storage system that stores structured or semi-structured data that are
organized into tables, rows, and columns. A database is not used to store unstructured data from
different sources, but rather to store structured or semi-structured data from specific sources by
using a relational model, which means that it establishes and maintains relationships between
different tables based on common columns or keys. A database can also be used to store structured
or semi-structured data from specific sources by using a query language, such as SQL, which means
that it can access and manipulate the data using statements or commands.
A data warehouse is a type of storage system that stores structured or semi-structured data that are
integrated and aggregated from different sources or systems, such as databases, cloud services, or
web applications. A data warehouse is not used to store unstructured data from different sources,
but rather to store structured or semi-structured data from various sources by using an ETL process,
which means that it extracts, transforms, and loads the data into a common format, structure, or
schema. A data warehouse can also be used to store structured or semi-structured data from various
sources by using an OLAP model, which means that it supports online analytical processing of the
data using multidimensional cubes or queries.
