Abstract: For a plurality of sensors, a particular sensor is indicated as a target sensor and the other sensors as input sensors. A regression model is trained using historical data from the plurality of related sensors. The trained regression model is applied to the target sensor to generate a predicted target sensor value. A difference between an actual target sensor value and the predicted target sensor value is calculated. A probability of difference for the calculated difference between the actual target sensor value and the predicted target sensor value is compared against a threshold value.

Abstract: A system and method for database migration and validation is provided. In an embodiment, the database migration and validation system may include a migration framework which analyzes a relational database and its associated access coding and preprocessing/post-processing coding, and based on these analyzes generates an in-memory database, access coding, and database coding in a computer system. The database migration and validation system may also include a validation framework which presents validation queries to the relational database and the in-memory database, compares the results of the queries, and reports the outcome of the comparison.

Abstract: A system and method for database migration and validation is provided. In an embodiment, the database migration and validation system may include a migration framework which analyzes a relational database and its associated access coding and preprocessing/post-processing coding, and based on these analyses generates an in-memory database, access coding, and database coding in a computer system. The database migration and validation system may also include a validation framework which presents validation queries to the relational database and the in-memory database, compares the results of the queries, and reports the outcome of the comparison.