Vivek S.

Vivek S.

4 years of exp in database development in a various database DB2(LUW, iSeries, ZOS) & MS SQL Server

Chennai , India

Experience: 4 Years

Vivek

Chennai , India

4 years of exp in database development in a various database DB2(LUW, iSeries, ZOS) & MS SQL Server

10971.4 USD / Year

  • Immediate: Available

4 Years

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About Me

Professional with 4.4 years’ in Database Development, Application Support, Application Implementation with backend installation and having sound knowledge in different databases  MS SQL Server, DB2 platforms (iSeries, ZOS, LUW), Oracle, Teradat...

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Portfolio Projects

Description

The development of the web application will focus on developing a new user interface, creating a web service and also includes any necessary modifications to the existing database and server while maintaining continuity of existing program and source file records (The application is expected to manage the sync process between the source RPT1 database and the JC menu application).

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Description

Holy Name Medical Center provides health care across a continuum that encompasses education, prevention, early intervention, comprehensive treatment options, rehabilitation and wellness maintenance – from conception through end-of-life. In addition to patient care, the institution educates registered nurses and licensed practical nurses in the Holy Name Medical Center School of Nursing.

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Description

This Module monitor any database user activity like any database user or application user who logins to the application or database and performs any activity will be monitored and all this information can be used to see whether any user is trying to breach sensitive information.

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Description

This Module is used in Production database, where the underlying sensitive information is not changed and for unauthorized user the data is presented as masked. Like in production when some authorized user logins he will see original PII information but unauthorized will see masked (False Data). This dynamic data masking also applies for different layers like in database layer, Application layer based on application architecture.

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Description

This module is used in Non-Production databases to eliminate sensitive information from the non-production database and those sample data can be used for development or UAT testing process. This method has different masking options and scrambling methods to handle simple and complex tables and data.

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Description

Sensitive Data Discovery is also known as iDiscover which discovers sensitive information like Social Security Number, Credit Card Numbers, Bank Account Details, PII and PHI Information in all RDMS data sources, Cloud databases and file servers. This module uses Variety of methods to identify sensitive information.

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