Data Lakes are not just for squares
Columnar-only lakes are just another warehouse
Data Lakes are intended to be a source of truth for their varied data. Some organizations restrict their lake to columnar data, violating one of the main precepts behind Data Lakes. They limit data lake to be used for large data set transformations or automated analytics. This limiting definition leaves those companies without anywhere to store a significant subset of their total data pool data.
Data Lakes are not restricted
Data lakes hold data in its' original data format to retain data fidelity. All data sets retain their original structure, data types and raw data format.
Some enterprise data lakes make the data more usable by storing the same data in multiple formats, the original format and a more queryable, accessible format. This approach exactly preserves the original data while making more accessible.
Examples of multiple-copy same-data storage include.
CSV and other data that is also stored in directly queryable formats li…
Data lakes hold data in its' original data format to retain data fidelity. All data sets retain their original structure, data types and raw data format.
Some enterprise data lakes make the data more usable by storing the same data in multiple formats, the original format and a more queryable, accessible format. This approach exactly preserves the original data while making more accessible.
Examples of multiple-copy same-data storage include.
CSV and other data that is also stored in directly queryable formats li…
