Data is the cornerstone of enterprise operations. Customer records, financial transactions, inventory systems and analytics platforms all rely on databases and data stores that need to be available, accurate and secure throughout any infrastructure transition. When organizations move to Microsoft Azure, success of their cloud initiative hinges on executing data migration to Azure with precision that helps protect this important asset.
Intwo offers full scope Azure data migration services that cover the entire complexity of an enterprise data environment. As a certified Azure Expert MSP with a long history of database migrations, we offer a combination of Microsoft’s native tooling for migration and proven methodologies refined through hundreds of engagements. Our approach ensures that your data migrates to Azure complete, consistent and ready to support business operations without the extended downtime or data integrity risks that plague poorly executed migrations.
Whether you’re consolidating on-premises SQL Server instances, modernizing legacy database platforms, or establishing cloud native data architectures, our team brings the expertise and execution discipline that enterprise data migrations require.
Migrating applications to cloud infrastructure has its challenges but Azure data migration introduces additional complexity that requires specialized attention. Databases have interdependencies, stored procedures, triggers, and integration points, which have to work properly post migration. Schema differences between source and target platforms must be carefully mapped. Transaction consistency during cutover windows requires very precise coordination.
Many organizations underestimate these challenges until migration attempts fail or result in inconsistencies in the data that creates problems with operations. Recovery from failed database migrations is often more expensive and time consuming than the original project, which leads to low stakeholder confidence and delays in realizing the benefits of the cloud.
Data migration to Azure cloud also offers strategic opportunities that the simple replication approaches don’t. Azure has a number of database offerings (Azure SQL Database, Azure SQL Managed Instance, Azure Database for PostgreSQL, Azure Cosmos DB, Azure Synapse Analytics) all of which are optimized for various workload characteristics and operational needs.
Selecting the right target platforms requires understanding your current data architecture, application dependencies, performance, and future scalability requirements. A qualified migration partner assesses these factors and suggests target architectures that make the system better than the state it is in, rather than just mirroring the limitations of the same environment where they exist.
Production databases are used to support the real-time operation of business. Extended outages during migration have a direct impact on revenue, customer experience and operational efficiency. The Azure data migration service approach needs to reduce these disruptions using strategies that ensure database availability throughout the transition process.
Intwo implements migration patterns (including online migrations with continuous replication) that reduce cutover windows from days to minutes. This capability proves crucial for organizations where database downtime can have serious business consequences.
Every successful Azure data migration starts with comprehensive evaluation of your current data landscape. Our discovery process involves inventorying all database instances, documents schemas and object dependencies, data volume and growth patterns and identifying integration points with applications and reporting systems.
This assessment is used for migration strategy decisions such as target platform selection, migration sequencing and cutover planning. We record findings in elaborated migration plans that can be reviewed and approved by stakeholders before the execution of the plan is undertaken. This structured approach prevents the surprises and scope expansion that derail poorly planned migration projects.
Intel executes data migration to Azure across the full spectrum of enterprise database platforms:
SQL Server Migrations are our most common engagement. We migrate on-premises SQL Server instances to Azure SQL Database, Azure SQL Managed Instance and SQL Server on Azure Virtual Machines, depending on the compatibility requirements and operational preferences. Our team takes care of schema conversion, data transfer, stored procedure validation, and performance optimization, ensuring the migrated databases meet or exceed on-premises performance levels.
Oracle to Azure Migrations help organizations save on costs of licensing while updating their database infrastructure. We analyse the workloads in Oracle to check for compatibility with Azure SQL, make any required changes to the schema and perform migrations while maintaining the functionality of the applications and removing Oracle dependencies.
Open Source Database Migrations support those organizations that are using MySQL, PostgreSQL, or MariaDB on-premises. Azure Database for MySQL and Azure Database for PostgreSQL are fully managed alternatives that lower the burden of operations while preserving compatibility with existing applications.
Legacy Database Modernization for Organizations that are using older platforms such as IBM DB2, Informix, or Sybase. We evaluate modernization paths, make necessary applications modifications, and migrate the data to modern day Azure database services.
Enterprise analytics environments present unique migration challenges. Data warehouse contains historical data accumulated for years, complex ETL process and report dependencies that must keep running after migration.
Our Azure data migration service covers these needs with structured methods of migrating data warehouse content to Azure synapse analytics, while maintaining or adding functionality of existing analytics. We collaborate with your BI teams to ensure the accuracy of reports and optimize queries in the new environment.
For organizations seeking analytics modernization, we design architectures that leverage Azure’s advanced capabilities – including real-time analytics, machine learning integration, and elastic scaling—that legacy platforms cannot provide.
Production database migrations need strategies that have minimum business disruption. Intwo implements online migration patterns using Azure Database Migration Service, and other tooling that ensures database availability throughout the migration process.
Online migrations create a continuous replication between the source and target database that synchronizes changes in near real-time. When in steady state replication, cutover only requires short windows of connection switching as opposed to long windows of outage. This way, downtime due to migration can be reduced from hours or days to minutes.
For databases that need zero-downtime migrations we have further patterns such as read replica promotion and application-level failover which cancel noticeable service interruption.
Data integrity failures are the most severe type of migration risk. Missing records, corrupted values, or broken relationships can disrupt business operations and require extensive remediation efforts.
Our data migration to Azure cloud methodology includes validation check points in the migration process. We check record counts, referential integrity, verify checksums, and perform application-level testing to ensure that migrated databases support business processes correctly. These validations take place prior to cutover to allow opportunity to address issues prior to their effect on production operations.
Post-migration monitoring follows for specified stabilization periods so that any latent problems are given early attention and resolution.
Azure SQL Database offers fully managed relational database service including built-in high availability, automated backups, and intelligent performance optimization. This platform is suitable for applications with enterprise database requirements but no infrastructure management overhead.
For organisations that need near-complete SQL Server compatibility Azure SQL Managed Instance is available as a managed infrastructure with minimal application modification requirements. This platform is often best to migrate data to Azure when there are applications that rely on features of SQL Server that aren’t available in Azure SQL Database.
Organizations operating on open source databases can take advantage of Azure’s fully managed services for PostgreSQL and MySQL. These platforms have high availability, automated backups, and elastic scaling, while ensuring compatibility with existing applications.
Applications that need globally distributed and multi-model database capabilities are attracted to Azure Cosmos DB. This is a platform that supports document, key-value, graph, and column family data models with guaranteed single-digit millisecond latency at any scale.
Enterprise data warehousing and analytics workloads move to Azure Synapse Analytics for unified analytics experiences that combine data warehousing, big data processing and machine learning. This platform supports Azure data migration from legacy data warehouses with new features that support advanced analytics capabilities.
Intwo migrates the entire range of enterprise DB platforms to Azure. SQL Server migrations – to Azure SQL Database, Azure SQL Managed Instance or SQL Server on Azure VMs – represent our most common engagement. We also perform Oracle to Azure migrations that remove the cost of licensing and maintain functionality. We also migrate open source databases such as MySQL, PostgreSQL and MariaDB, to fully managed equivalents that Azure offers. Legacy platforms such as IBM DB2, Informix and Sybase necessitate modernization approaches which we’ve worked on with so many engagements. Our assessment process takes into account your unique database environment and recommends the best Azure target platforms based on compatibility requirements, performance requirements and operational preferences.
Minimizing downtime requires online migration patterns that maintain database availability throughout the transition. Through robust Azure data migration services we help businesses set up continuous replication of data from source to target database and sync all changes (in near real-time). When replication achieves steady state with minimal lag, cutover requires only brief connection switching measured in minutes rather than the hours or days that offline migrations demand. For mission critical databases where zero perception of downtime is a requirement we implement other patterns such as application-level failover coordination and read replica promotion. These strategies ensure that your business operations continue uninterrupted while we complete the underlying database transition to Azure infrastructure.
Data integrity is our most important concern in each migration engagement. Our methodology includes several checkpoints for validating completeness and accuracy before, during and after data transfer. We validate record counts for all tables, verify referential integrity for foreign key relationships, compare checksums for source and target databases, and perform testing at the application level that ensures business processes operate correctly against migrated data. These validations are performed in staging environments prior to production cutover, which creates the opportunity to find and fix issues without causing business impact. Post-migration monitoring is carried out through specific periods of stabilization to ensure latent issues are brought to immediate attention for remediation.
Yes, data warehouse and analytics migrations are a major part of our data migration to Azure cloud engagements. We migrate enterprise data warehouses to Azure Synapse Analytics by preserving historical data and ensuring compatibility with existing reporting and BI tools. Our approach covers the unique challenges these environments pose – from large amounts of data to complex ETL processes to complex reporting dependencies. Beyond migration, we help organizations leverage Azure Synapse capabilities not supported in legacy platforms, such as real-time analytics, integrated machine learning and elastic scaling to adapt to differing analytical workloads. We work with your analytics teams throughout the process to ensure report accuracy and query performance.
Migration timelines differ depending on database complexity, data volumes, availability requirements, and readiness factors in an organization. Simple database migrations with limited data volumes may take as little as weeks to finish, whereas complicated enterprise environments with several interdependent databases, strict downtime considerations and heavy validation requirements may take several months. Our assessment phase yields realistic timeline estimates if based on your particular environment characteristics. We organize engagements with well-defined milestones and have open communication regarding progress and any aspects that influence schedule. Regardless of duration, our methodology gives proper governance and validation at each phase instead of rushing execution at the expense of quality or data integrity.
Application continuity is one of the main aspects of our migration planning. We record all the dependencies of applications in the assessment process and design migration strategies that keep the application functionality intact throughout the migration process. For online migrations, applications are kept running against source databases with replication for synchronizing changes to Azure targets. Cutover coordination ensures applications reconnect to Azure databases with the least amount of disruption. When target platforms are different than source, for example, Oracle to Azure SQL migrations, we evaluate the required changes to the application, make necessary changes, and confirm the functionality prior to production cutover. Our goal is seamless transition where end users have no disruption to the applications they use to perform their daily work.
Comprehensive post-migration support is your guarantee that your Azure database environment runs optimally and your team is confident in their ability to manage the new platform. Our standard engagement encompasses defined stabilization periods with monitoring and issue resolution and performance optimization. We offer knowledge transfer sessions that will enable your database administrators to effectively manage Azure database services. For organizations looking for ongoing support, our managed services take database administration, security monitoring, backup management, and continuous optimization beyond the migration project. This partnership model provides guaranteed expert attention to your Azure data environment and frees up internal resources to work on business differentiating activities instead of routine database operations.
Enterprise data frequently has regulatory requirements that migration must meet. Our Azure data migration service methodology takes into account security and compliance requirements from the initial assessment to post-migration operations. We assess data classification needs, sensitive data that needs to be added protection, and design migration strategies to keep them in compliance throughout the transition. Encryption helps to protect data in transit as well as data at rest. Access controls ensure that only the authorized people are interacting with migration systems. Audit logging provides evidence trails for verification of compliance. For regulated industries, we provide a map of Azure database configurations to specific frameworks such as SOC 2, ISO 27001, HIPAA, PCI DSS, and GDPR. Our documentation practices help to meet audit requirements and show ongoing compliance through the migration lifecycle.
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