Data Lake

B2 16+
Pronunciation Definitions Examples Grammatical Forms Origin and Evolution

Pronunciation: /ˈdeɪtə leɪk/

Definitions of data lake

noun a large storage repository that holds vast amounts of raw data in its native format until it is needed

Example Sentences

A1 A data lake is a storage repository that holds a vast amount of raw data in its native format.

A2 Companies use data lakes to store and analyze large volumes of data from various sources.

B1 Data lakes are often used in big data analytics to extract valuable insights from unstructured data.

B2 One of the challenges of managing a data lake is ensuring data quality and governance.

C1 Data lakes require a robust architecture to handle the scalability and complexity of big data processing.

C2 Implementing a data lake strategy involves integrating data from different sources and ensuring data security and compliance.

Examples of data lake in a Sentence

formal The company implemented a data lake to store and analyze large volumes of structured and unstructured data.

informal We're using a data lake to keep all our data organized and easily accessible.

slang Our data lake is like a giant pool where we throw all our data in and fish out insights.

figurative Think of a data lake as a vast ocean where all our data swims freely for us to catch and study.

Grammatical Forms of data lake

plural

data lakes

present tense

data lake

future tense

will data lake

perfect tense

have data laked

continuous tense

is data laking

singular

a data lake

positive degree

very data lake

infinitive

to data lake

gerund

data laking

participle

data laked

Origin and Evolution of data lake

First Known Use: 2010 year
Language of Origin: English
Story behind the word: The term 'data lake' was first popularized by James Dixon, the CTO of Pentaho, in a blog post in 2010.
Evolution of the word: Initially, 'data lake' was used to describe a large storage repository that holds a vast amount of raw data in its native format until it is needed. Over time, the term has evolved to encompass a broader concept of a centralized data storage system for big data analytics and data science purposes.