database modernization

Features

Data Modeling and Schema Design
Data Quality and Integrity
Indexing and Performance Optimization
Security and Access Control
Backup and Recovery
Documentation and Metadata Management
Data Governance and Compliance
Version Control and Change Management
Database Environment Management
Cross-Platform Compatibility

Data Modeling and Schema Design

Naming Conventions
Establishing consistent rules for naming tables, columns, indexes, keys, constraints, and other database objects. This helps in understanding the purpose of each element and ensures uniformity across the database.
Normalization
Identifying and removing redundant columns, splitting tables into focused structures with clear relationships, and standardizing column names to minimize data redundancy and ensure logical data storage.
Data Types and Lengths
Standardizing data types and lengths for fields across tables to maintain consistency and optimize storage.

Data Quality and Integrity

Data Validation Rules
Implementing rules and constraints (NOT NULL, UNIQUE, CHECK constraints) to ensure the accuracy and validity of the data being stored.
Referential Integrity
Using primary and foreign keys to maintain relationships between tables and ensure consistent data across related tables.
Data Cleaning and Deduplication
Establishing procedures for data cleansing to remove duplicates and ensure data consistency

Indexing and Performance Optimization

Indexing Strategy
Creating and maintaining indexes to optimize query performance while balancing the overhead of index maintenance. We analyze queries to identify slow queries, review existing indexes, and create new indexes on frequently accessed columns.
Query Optimization
Improving SQL query performance by simplifying and optimizing query logic, including minimizing dynamic queries, restructuring queries for better execution plans, and focusing on static queries.
Performance Monitoring
Implementing tools and metrics for monitoring and analyzing database performance, including reducing lock contention, avoiding deadlocks, and enhancing query efficiency.

Security and Access Control

User Access Management
Standardizing roles and permissions for different user types to ensure proper access control and data security.
Data Encryption
Implementing encryption standards for sensitive data both at rest and in transit to protect against potential threats.
Audit Logging
Establishing audit logs to track changes to the database schema, data modifications, and user access for security and compliance purposes.

Backup and Recovery

Backup Procedures
Establishing standardized procedures for regular database backups, including full, differential, and transaction log backups.
Disaster Recovery Plans
Developing and standardizing disaster recovery plans to ensure data can be restored in case of failure or data loss.

Documentation and Metadata Management

Schema Documentation
Maintaining up-to-date documentation of the database schema, including table definitions, relationships, and constraints.
Metadata Standards
Standardizing how metadata (data about data) is captured, stored, and maintained within the database. Simplified documentation with plain language explanations ensures users fully understand stored procedures and views.

Data Governance and Compliance

Data Privacy
Ensuring compliance with data privacy regulations (e.g., GDPR, HIPAA) through standardized data handling and storage practices.
Data Retention Policies
Defining and standardizing data retention and archival policies to manage data lifecycle and regulatory compliance.

Version Control and Change Management

Schema Versioning
Implementing version control for database schema changes to track and manage updates over time.
Change Management Processes
Standardizing procedures for deploying changes to the database schema, including the use of tools to manage schema evolution.

Database Environment Management

Development, Testing, and Production Environments
Standardizing environments to ensure consistency in development, testing, and production deployments.
Data Masking and Anonymization
Implementing data masking or anonymization for non-production environments to protect sensitive data.

Cross-Platform Compatibility

Database Portability
Ensuring that databases can be moved or replicated across different platforms (e.g., on-premises to cloud) without significant rework.
Standardized SQL
Using standardized SQL syntax and avoiding vendor-specific extensions to maintain cross-platform compatibility.

who we are

we are solvers,
improvers, engineers and futurists.

we are solvers, improvers, engineers and futurists.

VigneswaranPowerBuilder Architect.

Vigneswaran Ravichandran has 15+ years of expertise in PowerBuilder (versions 8.0 to 2022), specializing in system optimization and custom solutions. He is skilled in PowerBuilder, Appeon, and databases like Oracle and SQL Server

KrishnaPowerBuilder Architect.

IT professional with 15+ years of experience in PowerBuilder, SSIS, and SQL Server. Led teams in delivering successful projects with zero UAT defects and strong client management. Skilled in business analysis, migrations, and automation.

Gayathri SankarLead Engineer

Gayathri Sankar is a Lead Engineer with 12+ years of expertise in PowerBuilder and relational databases. She has successfully developed and supported various applications, excelling in system analysis, ticket resolution, and project management across multiple industries.

Rohith GaneshLead Engineer

Rohith Ganesh is a PowerBuilder Developer with 7 years of experience. He specializes in PowerBuilder, SQL, and PL/SQL, having worked on projects involving complex stored procedures, application migrations, and developing solutions in banking and financial domains.

Case Studies

Explore how OptiSol has successfully transformed legacy PowerBuilder systems for our clients. Our case studies highlight the effectiveness of our approach, and the measurable benefits realized through our modernization efforts.