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Here is an infographic developed by Aureus Analytics which shows how a Data Lake really works
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Scooped by Luca Naso |
Scoop.it!
Luca Naso's insight:
Data Lakes as the Big Data alternative to Data Warehouses.
Their main features are:
1. Contain ALL of the data, both structured and unstructured, internal and external;
2. Store all data in RAW format;
3. No SCHEMA is imposed on the data.
I like Data Lakes because they:
1. Are flexible
2. Break silos
This increases the success rate of Big Data projects.
Data Lakes as the Big Data alternative to Data Warehouses.
Their main features are:
1. Contain ALL of the data, both structured and unstructured, internal and external;
2. Store all data in RAW format;
3. No SCHEMA is imposed on the data.
I like Data Lakes because they:
1. Are flexible
2. Break silos
This increases the success rate of Big Data projects.
Data Lakes as the Big Data alternative to Data Warehouses.
Their main features are:
1. Contain ALL of the data, both structured and unstructured, internal and external;
2. Store all data in RAW format;
3. No SCHEMA is imposed on the data.
I like Data Lakes because they:
1. Are flexible
2. Break silos
This increases the success rate of Big Data projects.
Data Lakes as the Big Data alternative to Data Warehouses.
Their main features are:
1. Contain ALL of the data, both structured and unstructured, internal and external;
2. Store all data in RAW format;
3. No SCHEMA is imposed on the data.
I like Data Lakes because they:
1. Are flexible
2. Break silos
This increases the success rate of Big Data projects.