Oracle International Corporation

Sachin Bhatkar

Muralidhar Krishnaprasad

Meeten Bhavsar

Thomas Chang

Visar Nimani

Hui Ouyang

Cindy Hsin

Mark Davis

Joaquin Delgado

Mark Ture

Hiroshi Koide

Chi-Ming Yang

Sunil Kunisetty

Sergey Troshin

Shivakumar Subramanian Govindarajapuram

Nickolas Kavantzas

Vijayalakshmi Krishnamurthy

Mohan Kamath

Sujay Sarkhel

Joseph Marc Posner

Thomas Baby

Ciya Liao

Steve Yang

David Liao

Steve Chi-Ming Yang

Embodiments relate to improving efficiency of data analytics performed on sets of entity data in which different entity properties having very different update frequencies. Time-based analytical queries track the entity states at each moment within a given time window. Analytical queries are executed over a massive number of entity states while using a reasonable memory footprint. The technique partitions the entity properties into partial historical snapshots of data and combines the partial snapshots on demand only as needed to execute analytical queries over business entities. A complete entity state having values for all entity properties is not required to execute most queries. Only partial snapshots including values referenced by the query need to be combined to satisfy the query. Using partial snapshots minimizes data replication, and the snapshots can be efficiently combined into entity states sufficient for query execution.

Entity snapshots partitioning and combining

Techniques for improving system performance based on data characteristics are disclosed. A system may receive updates to a first data set at a first frequency. The system selects a first storage configuration, from a plurality of storage configurations, for storing the first data set based on the first frequency, and stores the first data set in accordance with the first storage configuration. The system may further receive updates to a second data set at a second frequency. The system selects a second storage configuration, from the plurality of storage configurations, for storing the second data set based on the second frequency, and stores the second data set in accordance with the second storage configuration. The second storage configuration is different than the first storage configuration.

Dynamic performance tuning based on implied data characteristics

A model analyzer may receive a representative data set as input and select one of a plurality of analytic models to perform the analysis. Before deciding which model to use the model may be trained, and the trained model evaluated for accuracy. However, some models are known to behave poorly when the training data is distributed in a particular way. Thus, the cost of training a model and evaluating the trained model can be avoided by first analyzing the distribution of the representative data. Identifying the representative data distribution allows ruling out use of models for which the distribution of the representative data is unsuitable. Only models that may be compatible with the distribution of the representative data may be trained and evaluated for accuracy. The most accurate trained model whose accuracy meets an accuracy threshold may be selected to analyze subsequently received data related to the representative data.

Selecting an algorithm for analyzing a data set based on the distribution of the data set

A flexible and extensible architecture allows for secure searching across an enterprise. Such an architecture can provide a simple Internet-like search experience to users searching secure content inside (and outside) the enterprise. The architecture allows for the crawling and searching of a variety of sources across an enterprise, regardless of whether any of these sources conform to a conventional user role model. The architecture further allows for security attributes to be received at query time, for example, in order to provide real-time secure access to enterprise resources. The user query also can be transformed to provide for dynamic querying that provides for a more current result list than can be obtained for static queries.

Flexible framework for secure search

Flexible authentication framework

A flexible and extensible architecture allows for secure searching across an enterprise. Such an architecture can provide a simple Internet-like search experience to users searching secure content inside (and outside) the enterprise. The architecture allows for the crawling and searching of a variety of sources across an enterprise, regardless of whether any of these sources conform to a conventional user role model. The architecture further allows for security attributes to be submitted at query time, for example, in order to provide real-time secure access to enterprise resources. The user query also can be transformed to provide for dynamic querying that provides for a more current result list than can be obtained for static queries.

A method of implementing a universal framework for searching across multiple search platforms in a secure federated search. The method includes receiving, at a federated broker, a query from an authorized user, obtaining a plurality of user credentials associated with the authenticated user, wherein each of the plurality of user credentials are used to access at least one source of a plurality of sources, determining a required query format for each of the plurality of sources, translating the query into a plurality of queries formatted according to the required query format of each of the plurality of sources, propagating the plurality of translated queries and the plurality of user credentials to each corresponding source to appear to each corresponding source to be the authorized user, receiving, at the federated broker, results of each of the plurality of queries from each source of the plurality of sources, and consolidating the results of each of the plurality of queries to be displayed in a uniform manner.

Propagating user identities in a secure federated search system

A flexible and extensible architecture allows for secure searching across an enterprise. Such an architecture can provide a simple Internet-like search experience to users searching secure content inside (and outside) the enterprise. The architecture allows for the crawling and searching of a variety or of sources across an enterprise, regardless of whether any of these sources conform to a conventional user role model. The architecture further allows for security attributes to be submitted at query time, for example, in order to provide real-time secure access to enterprise resources. The user query also can be transformed to provide for dynamic querying that provides for a more current result list than can be obtained for static queries.

Secure search performance improvement

A flexible and extensible architecture allows for secure searching across an enterprise. Such an architecture can provide a simple Internet-like search experience to users searching secure content inside (and outside) the enterprise. The architecture allows for the crawling and searching of a variety or sources across an enterprise, regardless of whether any of these sources conform to a conventional user role model. The architecture further allows for security attributes to be submitted at query time, for example, in order to provide real-time secure access to enterprise resources. The user query also can be transformed to provide for dynamic querying that provides for a more current result list than can be obtained for static queries.

Growing community of inventors

Sunnyvale, CA, United States of America

Sachin Bhatkar