Managing non-relational data using Apache HBase

One of the most popular NoSQL databases is the column-oriented database as it stores its records differently to the row-oriented approach. These column-oriented storage options, which include HBase, Hypertable, and Cloudata, are depicted as sparse and multidimensional sorted maps that hold each record with a unique index key, called the row key, a column key, which organizes the data, and a timestamp. Each form of storage is equivalent to a relational table with records identified by the row key, which is of the byte[] type. This byte[] data is handled by the column families, which are composed of column qualifiers or columns, each stored in a cell. Each column qualifier addresses one data field with a timestamp that keeps track of the versions of each column field in every update.

Regarding column-oriented databases, this chapter will concentrate solely on integrating Apache HBase into our Flask application. Initially, like any database...