TABLEAU PUBLIC LIMITATIONS UPGRADE

In the very unlikely case that no RAM is available, the hard disk space is utilized to load the data from the TDE. If there is enough RAM available, the loaded data will remain there for subsequent usage. The OS takes care of creating space on the RAM and shuffling the memory blocks. The data from the RAM and hard disk is exchanged in and out, depending upon what data is required.

The memory mapping technique is used to achieve this, where the data is mapped from the disk to the RAM as memory blocks.

When a query is sent to the TDE engine, only the data required to be processed at that particular point in time is loaded on to the RAM in the form of memory blocks. This columnar model makes the TDE very efficient for reading operations, i.e., data can be read and processed much faster than that in row-based databases.ДЄ TDE can use all parts of the computer memory, including the RAM, CPU cache, hard disk, etc. For example, if a table holds millions of records but a column has only four unique values in the entire table, then the TDE will store only four values for that column, and while storing the values the compression would also be applied. If there are fewer unique values, the column size is smaller, and vice versa. The size of a TDE depends upon the cardinality (uniqueness of data values) of the columns in consideration. TDEs are based on a columnar database model, which means the data is stored in sections of columns, which allows for maximum compression of the data.

TABLEAU PUBLIC LIMITATIONS UPGRADE

Before answering this question, let us look at the relevant terminology and understand the architecture of the data extracts (TDE) that we work with in Tableau.ДЄ Tableau data extract (TDE) is a subset of data that you can use to improve the performance of your workbook, upgrade your data to allow for more advanced capabilities, and to make it possible to analyze your data offline (Source: Working with Tableau Data Extracts)

Tableau public limitations