What is data lake ?
A data lake is a storage repository that holds a vast
amount of raw data in its native format until it is needed. While a
hierarchical data warehouse stores data in files or folders, a data lake uses a
flat architecture to store data. Each data element in a lake is assigned a
unique identifier and tagged with a set of extended metadata tags. When a
business question arises, the data lake can be queried for relevant data, and
that smaller set of data can then be analyzed to help answer the question.
A data lake, on the other hand, maintains data in their
native formats and handles the three Vs of big data — volume, velocity, and
variety — while providing tools for analyzing, querying, and processing. Data
lakes eliminate all the restrictions of a typical data warehouse system by
providing unlimited space, unrestricted file size, schema on read, and various
ways to access data (including programming, SQL-like queries, and REST calls).
What is Azure Data
Lake ?
Azure Data Lake is a Bigdata and data-warehouse platform on
azure cloud. It is a highly scalable public cloud service that allows developers,
scientists, business professionals and other Microsoft customers to gain
insight from large, complex data sets. As with most data lake offerings, the
service is composed of two parts: data storage and data analytics.
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