Learn about columnar databases and their strengths and weaknesses.
- [Instructor] We now move to columnar databases.…They are also called wide column databases.…RDBMS stores data row by row internally.…Columnar databases store data column by column.…A single row can contain a large number of columns.…Only columns with actual values are stored internally.…For the outside world, columnar databases…looks similar to RDBMS.…
They have tables and column families…but they do not have a schema.…These databases are key driven.…Each row has a unique key that identify the specific row.…A key is a combination of one or more columns.…They support multiple data types…including complex data types.…Empty column data is not stored.…This is an optimized storage…where a table can have a large number of columns…but only a few columns that have data.…
Here are some of the most popular columnar databases.…Let us do an assessment for Cassandra now.…Cassandra supports a query language CQL…that looks and works like SQL.…This provides excellent querying capabilities…with ease of use.…Cassandra is great with updating existing data.…
Released
6/19/2018Kumaran Ponnambalam begins by discussing the roles of databases in data science, as well as the key feature and performance requirements for databases in this field. Next, Kumaran goes over different database types, sharing the strengths and weaknesses of each one. To wrap up, he walks through specific use cases and shows how to select the best database technology for each situation.
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Video: Columnar databases