Emc IP Holding Company LLC

Alon Shitrit

Avitan Gefen

Amihai Savir

Omer Sagi

Anat Parush Tzur

Or Herman Saffar

Maor Sade

A customer blockchain data store is provided. An exemplary method comprises obtaining a blockchain associated with a given customer of an enterprise having multiple customer communication channels, wherein the blockchain comprises transaction data for the given customer with the customer communication channels; obtaining new transaction data for the given customer for a given one of the customer communication channels; providing the new transaction data for the given customer to additional customer communication channels; receiving a validation of the new transaction data from the additional customer communication channels based on one or more predefined validation criteria; and storing the validated new transaction data for the given customer in the blockchain associated with the given customer. The validation optionally comprises the additional customer communication channels verifying information about the given customer in the new transaction data and/or aligning a customer identifier across the plurality of customer communication channels.

Enterprise storage of customer transaction data using a blockchain

Techniques are provided for data-driven reduction of log message data. An exemplary method comprises: obtaining log files and user-specified configuration parameters, wherein the log files each comprise one or more log messages; generating an event count matrix indicating a number of times each of a plurality of unique messages appeared in a given log file of the log files; generating a correlation graph by inserting similar messages with a mutual undirected edge, wherein similar messages are identified based on a predefined similarity measure; extracting redundant messages from the correlation graph by selecting log messages for inclusion in an uninformative log message filter from sub-graphs of the correlation graph in which any two nodes are connected together, except those log messages satisfying a predefined message frequency criteria; and identifying one or more redundant messages using the uninformative log message filter. The uninformative log message filter is optionally applied to real-time log messages and/or existing file systems.

Data-driven reduction of log message data

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Jerusalem, Israel

Alon Shitrit