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Collecting and importing data with HCL Z Asset Optimizer
HCL Z Asset Optimizer includes programs that collect system and usage data, import, filter, and match this data, update the Repository tables, and make the data available for review and query.
Activating the Automation Server
The Automation Server discovers new data sets and processes them by starting a set of predefined actions that associate the data with data set name masks that form a catalog search. This search determines if any data set names matching the mask are to be processed.

Collecting and importing data with HCL Z Asset Optimizer
HCL Z Asset Optimizer includes programs that collect system and usage data, import, filter, and match this data, update the Repository tables, and make the data available for review and query.
- Updating the Global Knowledge Base
  HCL provides monthly updates to the Global Knowledge Base (GKB) so that you can keep your product inventory definitions up-to-date. You can also submit items to HCL support for inclusion in GKB updates.
- Collecting scanned libraries with the Inquisitor for z/OS
  The Inquisitor is a program that scans and collects information about partitioned data set (PDS) and partitioned data set extended (PDSE) program libraries. The Inquisitor Import program takes the collected data as input to form the basis of your software inventory.
- Collecting UNIX files with the Inquisitor for z/OS UNIX
  The Inquisitor for z/OS® UNIX™ is a program that collects information about executable software existing in HFS and zFS data sets currently mounted and accessible to z/OS UNIX. The Inquisitor Import program takes the collected data as input to form the basis of your z/OS UNIX software inventory.
- Collecting usage data with the Usage Monitor
  The Usage Monitor is a server address space that runs as a started task. Work is queued to the Usage Monitor from all address spaces where programs are used. The Usage Monitor moves captured program usage data into the collection repository and periodically writes the accumulated data to a sequential file. The Usage Monitor runs APF authorized and is non-swappable.
- Importing Inquisitor data
  The Inquisitor Import reads data from Inquisitor scans, where the data is filtered and matched to products. The filtered, matched data is then copied to the Repository tables where it can be viewed and queried by the Analyzer reporting utility.
- Importing usage data
  The Usage import job imports data generated by the Usage Monitor and aggregates usage data for discovered or identified modules in the Repository tables in the database.
- Aggregating usage and discovery data
  The Aggregator is a program that populates the Asset tables.
- Activating the Automation Server
  The Automation Server discovers new data sets and processes them by starting a set of predefined actions that associate the data with data set name masks that form a catalog search. This search determines if any data set names matching the mask are to be processed.
  - Automation Server overview
    The Automation Server provides the ability to select data sets if you have data set names that are variable, such as those created by the Usage Monitor, which have low-level qualifiers containing time stamps.
  - Running the Automation Server
    To run the Automation Server, you must create a control data set, configure the Automation Server as a started task, design request control statements, and exclude data sets from processing.
  - Automation Server control data set maintenance
    A record is kept for every data set processed by the Automation Server in the Automation Server control data set, ACDS. The purpose of this record is to prevent the repeated processing of a data set for the same data set name mask. As records accrue, the size of the data in the ACDS continues to grow.

Activating the Automation Server

The Automation Server discovers new data sets and processes them by starting a set of predefined actions that associate the data with data set name masks that form a catalog search. This search determines if any data set names matching the mask are to be processed.

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