Nitesh Lohiya

Nitesh Lohiya

Bengaluru, Karnataka, India
2K followers 500+ connections

Activity

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Experience

  • Shadowfax Graphic

    Shadowfax

    Bengaluru, Karnataka, India

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    Bengaluru Area, India

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    Bengaluru Area, India

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    Bengaluru Area, India

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    Bengaluru Area, India

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    Bengaluru Area, India

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    Hyderabad Area, India

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    Bengaluru Area, India

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    Mumbai, Maharashtra, India

Education

Publications

  • Business Rules Management for ABAP Application

    SAP Press

Patents

  • Managing consistent interfaces for business rule business object across heterogeneous systems

    Issued US 8601490

    A business object model, which reflects data that is used during a given business transaction, is utilized to generate interfaces. This business object model facilitates commercial transactions by providing consistent interfaces that are suitable for use across industries, across businesses, and across different departments within a business during a business transaction. In some operations, software creates, updates, or otherwise processes information related to a business rule business object.

    A business object model, which reflects data that is used during a given business transaction, is utilized to generate interfaces. This business object model facilitates commercial transactions by providing consistent interfaces that are suitable for use across industries, across businesses, and across different departments within a business during a business transaction. In some operations, software creates, updates, or otherwise processes information related to a business rule business object.

    See patent
  • Rule Type Column in Database

    Filed US 20130117318

    A data definition language (DDL) may be extended by a new column type: a rule type column. Database rules are modeled using patterns (e.g. decision table, decision tree, or formula) specifying rule content through accessible user interfaces instead of programming constructs. A rule type column can be created using the DDL statements to define its storage type (transient or permanent), and/or whether it is generic or non-generic. A transient rule column will be populated only when a query is…

    A data definition language (DDL) may be extended by a new column type: a rule type column. Database rules are modeled using patterns (e.g. decision table, decision tree, or formula) specifying rule content through accessible user interfaces instead of programming constructs. A rule type column can be created using the DDL statements to define its storage type (transient or permanent), and/or whether it is generic or non-generic. A transient rule column will be populated only when a query is performed. A non-transient rule column will be populated when an insert is performed, and may be re-triggered during an update. A generic rule column allows a rule to be defined each time an insert is performed (e.g. each row might trigger a different rule). A non-generic rule column allows initial definition of one rule statically for all rows. The system of rules evaluation can be integrated with the language processor.

    See patent
  • Database Queries Enriched in Rules

    Filed US 20130117323

    Embodiments allow complex conditional statements to be considered in formulating database queries. Business rules are modeled based upon ready-to-use abstract structures such as decision trees, decision tables, or formulas. A query to the database is then posed by a user. The query includes a system of rules evaluation activating a built-in processing function provided with a unique identifier of the rule. This function processes the rule, taking the input data set from the context of the…

    Embodiments allow complex conditional statements to be considered in formulating database queries. Business rules are modeled based upon ready-to-use abstract structures such as decision trees, decision tables, or formulas. A query to the database is then posed by a user. The query includes a system of rules evaluation activating a built-in processing function provided with a unique identifier of the rule. This function processes the rule, taking the input data set from the context of the application level language (e.g. SQL) in which the database was created. This rule-processing capability may be implemented as a functional mechanism similar to the standard aggregation functions (e.g. SUM, AVG, MAX, MIN), rather than by extending the application level language itself.

    See patent

Honors & Awards

  • Dean's Lister at ISB

    Indian School of Business, Hyderabad

    Awarded for Academic excellence for the Academic Year 2012-2013

  • Merit Scholarship

    Indian School of Business, Hyderabad

  • Star Innovator of the Year - 2011

    SAP Labs India

    5/5000 employees for innovating a "High performance rules engine"

  • High Performance team of the year

    SAP Labs India

    I was leading the team which was awarded this award for outstanding performance on product development and customer satisfaction

  • High performance team of the year

    SAP Labs India

    I was leading the team which was awarded this award for outstanding performance on product development and customer satisfaction

Languages

  • English

    Full professional proficiency

  • Hindi

    Native or bilingual proficiency

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