Kanerika delivers data migration services and data migration consulting for Houston enterprises that need to modernize legacy data platforms without interrupting daily operations. Our FLIP accelerators automate ETL conversion, BI report migration, and RPA rebuilds, cutting manual effort, licensing spend, and cutover risk.
Faster Migrations
Cost Savings
Predictable Timelines
Kanerika’s FLIP accelerator automates up to 80% of a data platform migration, removing heavy time, cost, and resourcing demands from your team.
Houston organizations rely on dependable data migration services to modernize complex data estates spanning legacy platforms, cloud systems, analytics tools, and business applications. Kanerika handles these moves through a structured, automated migration approach.
ETL migration moves Informatica, Alteryx, or Azure workloads onto Talend, Databricks, or Microsoft Fabric. FLIP pulls out mappings and workflows, so business rules documented nowhere else survive conversion intact.
Convert Tableau, SSRS, Crystal Reports, or Cognos estates to Power BI. Calculated fields, filters, and permission models that users rely on move across intact instead of being approximated on the new platform.
Rebuild UiPath estates on Microsoft Power Automate through FLIP. Attended bots, unattended processes, and XAML sequences keep their exception handling in the target without manual rebuilds.
FLIP is Kanerika's Intelligent Workflow Automation Platform, with purpose-built accelerators for data platform, BI, and RPA migration. Every accelerator targets one specific source-to-target route, which is where conversion stays accurate and generic scripting breaks down.
Results from data migration solutions delivered with FLIP, measured on reporting speed, data scale, and maintenance cost.
Migration
Migration
Migration
FLIP deploys inside your own infrastructure through Docker. Conversion runs while your data stays precisely where it already sits, untouched.
FLIP reads schema definitions and structural dependencies only. Production records are never accessed, staged, or transmitted.
Everything executes inside your network perimeter, leaving no outbound route for data and no third-party access to govern.
Schema mapping and pipeline generation run at full speed while compliance controls and audit trails stay entirely under your ownership.
Kanerika runs every Houston data migration project through the IMPACT methodology, tying each phase to a delivered outcome instead of a progress report.
Every engagement starts with a full assessment of your source environment. Our data migration consultants then design the target state, configure FLIP for your specific path, run automated conversion with validation throughout, and stay on through post-launch monitoring and legacy decommissioning.
Understand Business Goals
Analyze Data & Workflows
Design Sound Solutions
Develop & Deploy Solutions
Ongoing Support
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Understand Business Goals
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Analyze Data & Workflows
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Design Sound
Solutions
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Develop & Deploy Solutions
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Ongoing
Support
As a data migration company working with Houston organizations, Kanerika handles legacy system migration from Informatica, Talend, UiPath, and SQL Server to Microsoft Fabric, Databricks, Snowflake, and Power Automate.
Kanerika provides data platform migration services to Houston enterprises across major industries, modernizing legacy data environments with minimal disruption.
FLIP was designed from the start for migration, not retrofitted to it. Across 12 platform paths it covers repository extraction, dependency mapping, asset conversion, and parallel-run validation. Automation handles 70 to 80% of conversion work, so migration cost no longer grows with every added asset.
Our migration specialists have delivered platform transitions across ETL, BI, and RPA, supported by a bench of certified engineers.
Pairing the IMPACT framework with FLIP accelerators shortens migration timelines by up to 60%, with automated validation built in.
Our team stays involved before, during, and after the migration, from transition through ongoing optimization.
The pivotal partnerships with technology leaders that amplify our capabilities, ensuring you benefit from the most advanced and reliable solutions.
Four triggers start most programs. Vendor support is ending on your current version. A license renewal lands at a figure the business will not approve. A cloud or AI mandate calls for architecture the legacy platform cannot provide. Or an acquisition leaves two estates duplicating work. Houston organizations most often act on the first two, since a fixed date drives the schedule.
Discovery inventories every asset and dependency in the source environment. The target architecture is then designed and the estate is sequenced into waves. Conversion translates mappings, reports, or workflows to the new platform, validation reconciles source and target output at each stage, and cutover moves consumers across. The legacy system is retired once parallel running confirms parity.
Manual rewriting suits small estates where the existing logic is documented and worth rebuilding on purpose. Automated conversion suits large estates holding years of undocumented business rules, because cost stops scaling with asset count. The deciding question is how much logic lives only inside the platform. If nobody can answer that, you have your reason to automate extraction.
Security patching stops, which usually breaks internal policy well before it breaks any regulation. Vendor escalation routes close, leaving production incidents with nowhere to go. Integration with current systems degrades as connectors go unmaintained, and running unsupported weakens your position at the next audit. Because the date is fixed, planning backwards from it is the only workable approach.
Cloud data migration shifts workloads from on-premises infrastructure to a cloud platform. Platform modernization is different: it replaces the tooling and converts business logic for a new environment. Many Houston programs combine both, leaving an on-premises legacy platform for Fabric or Databricks. Timeline risk concentrates in that overlap, which is exactly where discovery pays for itself many times over.
Target architecture, wave sequencing, validation criteria, rollback triggers, and decommission timing. It should name which workloads move in which wave and what evidence signs each wave off. Teams that skip documented rollback conditions find out mid-cutover that reversing is no longer possible. Kanerika builds this during the Initiate, Map, and Plan phases, before any conversion begins.
Validation runs at three checkpoints, not once at the end. Source profiling surfaces duplicates, nulls, and broken referential integrity before anything moves. During conversion, row-count reconciliation and hash checksums confirm accuracy for each transformation. After cutover, parallel running compares source and target output before the legacy system is retired. FLIP reconciles continuously and flags variances live.
Cost follows asset count, path complexity, and delivery model. Manual conversion scales linearly because engineers rewrite each object one by one. FLIP automates 70 to 80% of that work, which breaks the relationship. Our Migration ROI Calculator projects spend, developer hours, and timeline for your path. Remember to model the legacy licensing that stops at decommission too.
Judge them on depth for your exact source-to-target route, purpose-built automation rather than manual scripting, and validation that runs during conversion instead of afterward. Microsoft Solutions Partner and Databricks Consulting Partner status signals verified capability, while ISO 27001 and SOC 2 become mandatory once regulated data moves. Kanerika is headquartered in Austin and works on Central time, with on-site workshops available.
Data migration services help Houston businesses move data from legacy systems, databases, and applications onto modern cloud, analytics, and enterprise platforms with little disruption.
Kanerika helps Houston enterprises plan, automate, run, and validate complex migrations using FLIP accelerators, a proven methodology, and platform expertise.
Yes. Kanerika supports cloud data migration and modernization across enterprise data environments, moving organizations from legacy platforms to modern cloud technologies. For reporting and BI work after cutover, see our data analytics services in Houston. Multi-state programs can see our data migration services across the USA.
Kanerika combines migration automation, structured methodology, validation, and testing to limit manual effort, downtime, errors, and cutover risk.
Kanerika supports migrations across databases, ETL platforms, BI platforms, legacy systems, cloud environments, and enterprise data platforms, based on your requirements. Common paths include Informatica to Microsoft Fabric, Tableau to Power BI, and UiPath to Power Automate.
