International Business Machines Corporation

Dell Products Inc.

Emc Corporation

Suresh Kumar Jasrasaria

Ronald Bruce Baker

Linsong Chu

Otis Smart

Karthik Jayaraman

Charles Lynn

A computer system merges location-based data sets. Each of a plurality of data sets are transformed into a standardized schema, including at least two data sets including information indicating a geographic location. The schemas of the plurality of data sets are combined by data set type to produce a resulting data set for each data set type. The schemas of a first and second data sets are joined to produce a merged data set using a machine learning model to identify corresponding rows of the schemas. The schema of the merged data set is joined with the schemas of the resulting data sets for the data set types to produce a new data set. A resulting merged data set in the standardized schema is produced. Embodiments of the present invention further include a method and program product for merging location-based data sets in substantially the same manner described above.

Processing multiple data sets to generate a merged location-based data set

In an embodiment, a method provides first and second storage pools having a plurality of corresponding storage blocks to a storage solution. The method monitors each storage block of the first plurality for an indication of failure by either (a) simultaneously writing a same data to a storage block of the first plurality and a corresponding storage block of the second plurality and, if writing the same data to the corresponding storage block of the second plurality completes before writing the same data to the storage block of the first plurality, indicating the first plurality of storage to be failed or (b) employing an internal procedure of the storage solution. The method, upon determining the indication, replaces the storage block with an unused storage block from a plurality of backup storage blocks or declaring the entire storage solution at a lower performance level.

Federating and protecting multiple big data sources combined with enterprise data sources for BI

A storage system executes a delta set asynchronous remote replication protocol, wherein writes to a local copy are aggregated into delta sets during successive delta cycles. The delta sets are sent to a remote storage system to be written to a remote copy. Independent of the delta cycles, the local storage system receives a signal representing an external event. In response to receiving the signal, all writes just prior to and in accordance with the external event are posted to the local copy, the current delta set is ended, and a marker delta set is inserted in the delta set stream. The delta sets received at the remote storage system are monitored for the marker delta set. When the marker delta set is received, it is indicated that the remote copy is consistent with the local copy just prior to the external event at the local storage system.

Asynchronous detection of local event based point-in-time state of local-copy in the remote-copy in a delta-set asynchronous remote replication

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Boxborough, MA, United States of America

Suresh Kumar Jasrasaria