How Google BigTable Deals Data Problems

Google BigTable is a distributed, column-oriented datastore created by Google Inc. to handle very large amounts of structured data associated with the company’s Internet search and Web services operations.

Google BigTable

BigTable was designed to support applications requiring massive scalability; from its first iteration, the technology was intended to be used with petabytes of data.

The database was designed to be deployed on clustered systems and uses a simple data model that Google has described as “a sparse, distributed, persistent multidimensional sorted map.” 

Data is assembled in order by row key, and indexing of the map is arranged according to row, column keys, and timestamps. Compression algorithms help achieve high capacity. Read more here.


Author: Srini

Experienced software developer. Skills in Development, Coding, Testing and Debugging. Good Data analytic skills (Data Warehousing and BI). Also skills in Mainframe.