Data Lake
Related question
What is the difference between big data and Hadoop?Advertisement
Techopedia explains Data Lake
The data lake architecture is a store-everything approach to big data. Data are not classified when they are stored in the repository, as the value of the data is not clear at the outset. As a result, data preparation is eliminated. A data lake is thus less structured compared to a conventional data warehouse. When the data are accessed, only then are they classified, organized or analyzed.Hadoop, an open-source framework for processing and analyzing big data, can be used to sift through the data in the repository.
Advertisement
Share this Term
Survey: Why Is There Still a Gender Gap in Tech?
Do you work in the tech industry? Help us learn more about why the gender gap still exists in tech by taking this quick survey! Survey respondents will also be entered to win a $100 Amazon Gift Card!
Related Reading
- Video: Mike Olson, CEO of Cloudera, on Hadoop and Future Research Possibilities
- 7 Things to Know About Hadoop
- How Hadoop Helps Solve the Big Data Problem
- 7 Things You Must Know About Big Data Before Adoption
- 6 Big Myths About Managing Big Data
- The Key to Quality Big Data Analytics: Understanding 'Different' - TechWise Episode 4 Transcript
