For the last decade, Linux has become increasingly attractive for those developing what could be termed 'traditional' embedded systems. That hasn't always been the case, however. But times have changed. Linux is now more tightly focused when it comes to the embedded world and larger, more affordable memories have eased the footprint issues.
Aggregate Persistence Improvements Oracle Business Intelligence now automatically creates more usable aggregates and creates aggregates without having to fix data set errors or modeling problems.
Surrogate Keys Aggregate persistence can create surrogate keys for joining dimensions to fact aggregate tables. In most cases the source and the target databases are not the same instance.
The Oracle BI Server uses the hash join method to improve surrogate key creation. Where possible, a new request variable is automatically added to the fact aggregate population query and when this request variable is set, the query engine builds hash joins for the dimension tables in parallel before joining to the fact table.
The Oracle BI Summary wizard displays the Use surrogate keys option to suggests when you should use surrogate keys. Auto Correction Hardening of Level Keys Aggregate persistence auto-corrects, or hardens, level keys that are not unique. The Oracle BI Summary Advisor recommends aggregates with level keys that are unique as defined, or with level keys that can be auto-corrected hardened to make unique keys.
Modifications to underlying data might impact such aggregates. To improve performance, Oracle suggests creating aggregates using surrogate key rather than natural keys.
Auto-correction, or hardening, is not as effective when natural keys are used, especially in the prepare-create mode of operation. Unbalanced Ragged and Skip-Level Hierarchies Aggregate persistence creates aggregates for logical dimensions with unbalanced or skip-level hierarchies.
These aggregates can be created with or without using surrogate keys. The Oracle BI Summary Advisor has also been improved to recommend aggregates that contain logical dimensions with unbalanced and skip-level hierarchies.
Time series functions operate correctly when only the lowest key in the logical dimension is chronological. A new column is added to the physical dimension aggregate table to store the chronological key value, and a new logical column is added to the logical table of the time dimension. The column is mapped to the new column added to the physical dimension aggregate table.
The delete aggregates statement automatically removes all metadata created to support generated chronological keys. Count Distinct Measures The Oracle BI Server now utilizes aggregates with count distinct measures to serve queries for these measures at higher grains.
When this option is selected, aggregate persistence also sets an aggregation expression override on the corresponding logical column for the system-generated aggregate logical table source. The Oracle BI Summary Advisor now recommends both methods of persistence for count distinct measures.The level of security achievable in Linux in comparison with Solaris is discussed and the problems of Linux integration into existing enterprise infrastructure are outlined.
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