Our company aims as offering complex services in the area of Enterprise Data Management. We believe that the trou
ble-free run of the critical systems depends not only upon the data quality but also upon proper methodologies implementation covering the whole database life cycle form the design phase and schema optimizing to the controlling and management of data sources.
We currently support databases by Oracle, Microsoft, Sybase and IBM and the most of opensource databases. If the customer doesn't have his own tools, we're ready to design proper architecture based on professional tools by leading providers. According to the database platform we prefer tools by Quest, Embarcadero or BMC.
Summary of services offered by ARIT Ltd. in the field of Data Management
Support of design and optimization
Simulation of business processes in relation to data
Data modelling
conceptual (the general level related to requests)
physical (the optimizing for one or more DB platforms)
multi-dimensional (the optimizing for BI and data warehouses)
the reverse engineering
Metadata management
project and maintenance of naming conventions
the incidence analysis
database archeology (mapping of data life cycle
data quality
Development support
Production and maintenance of data dictionary
knowledge management
management of object re-usability
communication (Enterprise Portal)
visual layout and SQL generating
uniform and adjustable code sizing
SQL optimizing and customization (SQL Debugger, Code Analyst, SQL Profiler, …)
structuring of SQL scripts to logical structures, classification, versioning
storage, collating and synchronization of database schema, database configuration and data
creation and maintenance of debug environment including data anonymizing
data backup before updates implementation with the possibility of a roll-back
Operating support
Joint and uniform administration of large cross-platform database environments
automation of administrator's routine tasks
analysis of storage space demands (Backup, Space & Capacity Analyst)
collection of information for debugging of data warehouses and database environments working with large amounts of data
collection and storage of selected characteristics (possibility of backward analysis)
detection and notification of performance problems
automation of detected problems solution
storage of audit track independent on the database
strictly separated DBA and SO parts
monitoring and alerting of unauthorized or suspicious data operations
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