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Hitachi Vantara Lumada and Pentaho Documentation

Data temperature

Using Data Temperature, you can manage or browse the business glossaries for your data environment.

Data Storage Optimizer uses Data Catalog to provide a single location for creating, organizing, curating, and identifying business glossary items like domains and terms to help you navigate your data environment.

Data temperature terms can be used to identify the usage and age of your data. You may want to consider the data temperature examples, below, when creating or assigning terms:

Data temperatureCriteria
BoilingRegularly searched, regularly read, created less than 180 days ago, and with a last modified date of less than 30 days.
HotFrequently searched, frequently read, created less than 366 days ago, and with a last modified date of less than 90 days.
WarmFrequently searched, less frequently read, created less than 366 days ago, and with a last modified date of less than 180 days.
ColdRarely searched, rarely read, created more than 366 days ago, and with a last modified date of more than 366 days.
FrozenNever searched, never read, created more than 732 days ago, and with a last modified date of more than 732 days.

To perform rules-based tiering or purging, Data Storage Optimizer requires a specific domain name and business terms within the hierarchy. You must create this domain and the terms in Data Catalog:

  • Create a domain named Data Temperature.
  • Create business terms within that domain, for example:
    • Boiling
    • Hot
    • Warm
    • Cold
    • Frozen

NoteYou must use the Data Temperature domain, but you can choose different terms to better fit your environment or workflow. A category is not required.

Click Check Data Temperature to open the Business Glossary in Data Catalog. To add a domain or term, click Add New. See Manage Business Glossary.