Connecting data. Driving results.Load CSV from S3 into SQL Server
Connect an authorized CSV in Amazon S3 to an existing SQL Server table and reuse the load design.
See how it works: Load CSV from S3 into SQL ServerDova by Cloudata · Integrated AI
Connect your data. Power your operations with AI.
One platform for your data operations: integrated AI, visual mappings, reusable workflows, secure workers and monitoring. Built to connect what matters.
- Integrated AI
- Visual workflows
- Built for control
01
Outcome-led
Business objectives and success metrics are defined before implementation.
02
Secure by design
Identity, traceability, and data protection are built into every layer.
03
Ready to operate
Documentation, observability, and knowledge transfer support long-term ownership.
Our flagship platform
Dova
Data integration and AI, in one operational workspace.
Dova brings your data sources, transformations and execution together in a single platform with integrated AI. Design the data flow, reuse what works and monitor each run with a clear operational view.
You can request an account to try Dova for free, with limitations. Access activation is subject to review.
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Connect and transform
Define visual mappings and transformations between sources and destinations, so the data flow is easier to understand and maintain.
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Run and reuse
Organize workflows and sessions, then execute them with secure workers to keep recurring processes consistent.
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Monitor and trace
Follow execution status and operational activity to identify incidents and understand what happened.
Dova in practice
From CSV to data ready for Excel, step by step.
See how to configure ten transformations, run a real mapping on a worker and check the downloaded CSV. A walkthrough of the current Dova interface using synthetic data.
CSV→Clean→Filter→CSV for Excel
Dova use cases
What you can solve with Dova
Discover how to apply Dova to your data integration, transformation and operations processes.
Clean and filter data with visible rules
Connect text cleaning, type conversion and row selection to deliver data that fits your process.
See how it works: Clean and filter data with visible rulesCoordinate processes without duplicating the design
Bring Sessions and dependencies into a Workflow to repeat a process with the intended context and versions.
See how it works: Coordinate processes without duplicating the designExecute pipelines on compatible workers
Bind a Session to execution capacity that can access the files, connections and components your process needs.
See how it works: Execute pipelines on compatible workersFind where an execution failed
Inspect states, tasks and history for each attempt to investigate the problem and decide what to correct.
See how it works: Find where an execution failedSolutions
AI-powered solutions built around your data
We combine artificial intelligence, engineering, automation, and business knowledge to deliver secure solutions with measurable impact, clear ownership, and a practical path to scale.
Data management
We build trusted data foundations that connect sources, improve quality, and make information usable across the organization.
Core capabilities
- Data integration and migration
- Quality, catalogs, and lineage
- Governance, privacy, and access
Custom applications
We create web products and internal systems around real workflows, user roles, security requirements, and growth plans.
Core capabilities
- Operational portals and workflow systems
- Customer-facing digital products
- Secure role-based architecture
Automation
We automate repetitive and high-volume processes while preserving control, exception handling, and human oversight.
Core capabilities
- RPA and workflow orchestration
- Document and email processing
- Human-in-the-loop controls
AI applications and agents
We deliver useful AI grounded in business context and private knowledge, with evaluation, safeguards, and measurable results.
Core capabilities
- Enterprise assistants and copilots
- Retrieval over private knowledge
- Predictive models and analytics
Integration and APIs
We connect legacy platforms, cloud services, and third parties through stable contracts that remain observable and recoverable.
Core capabilities
- REST APIs and event-driven flows
- Legacy, SaaS, and cloud connectivity
- Monitoring and error recovery
Operations and support
We keep critical services available, efficient, and evolving through monitoring, incident response, and continuous improvement.
Core capabilities
- Monitoring and incident response
- Performance and cost optimization
- Evolution roadmap and support SLAs
Engineering foundation
From an operational need to a sustainable solution
We start with your process, the people who use it, and the systems already in place. Then we connect architecture, data, security, and operation around a practical scope. Clear acceptance criteria, documented decisions, and regular reviews help your team understand each delivery, operate it, and decide what to improve next.
Deliverables for your team
- Architecture and documented decisions
- Acceptance criteria, tests, and validation
- Operating guide and prioritized improvements
We apply this approach to Dova, the Cloudata product built by Jorge Flores, bringing his enterprise data experience into the platform’s design and development.
- Data integration and quality
- We map sources, destinations, and transformation rules. Data checks, error handling, and execution traceability help your team detect inconsistencies and investigate what happened in each integration.
- AI with a practical purpose
- We assess the use case, available data, and privacy requirements before proposing AI. We agree on validation criteria and review usefulness with users and the responsible team.
- Cloud and architecture
- We define components, dependencies, and deployment environments around your workload. We plan monitoring, backups, and recovery checks so your team can understand and maintain the solution.
- Security by design
- We review sensitive data, assign permissions by role, and define how credentials are managed. Access controls and relevant activity logs help your team identify and investigate issues.
- Incremental delivery
- We divide the work into usable increments with agreed acceptance criteria. Your team reviews each delivery, tests representative scenarios, and provides feedback before the next priorities are set.
- Technology independence
- We document configuration, technical decisions, and operating procedures. Knowledge transfer helps your team understand dependencies, manage routine tasks, and make informed decisions about maintenance and future changes.
The Cloudata method
From a clear need to continuous improvement
We agree on what to solve, validate each delivery, and use feedback from the people who operate it to decide what to improve next.
- 01UnderstandWe review the process with your users and technical team. Together, we identify the problem, available data, risks, and expected outcome.
- 02DesignWe agree on scope, responsibilities, and acceptance criteria. We define the solution and how it will fit into your existing systems.
- 03BuildWe implement in small deliveries and validate them with your team. We test representative data, permissions, and error handling before release.
- 04OperateWe monitor execution, address incidents, and document the operation. Your team knows how to use the solution and where to request support.
- 05FeedbackWe gather user feedback and review actual results. Together, we prioritize improvements and agree on the next iteration.
Cloudata topics · October 2026
Practical ideas for data and AI
Explore integration, AI agents and data governance through examples, operating decisions and guidance grounded in technical sources.
Explore all topicsFeatured reading: Is AI being implemented properly in Peruvian businesses?
Data integration with AI
Use AI to support field mapping, then validate and operate reliable pipelines with clear rules and traceability.
AI agents and retrieval
Connect useful context to AI while preserving permissions, evaluating answers and keeping consequential actions under control.
Data governance for AI
Build data contracts, quality checks and observability that help teams trust and maintain their data products.
People and expertise
Experience connecting data and AI.
Jorge Flores
Owner of Cloudata · Creator of Dova
14+
years of experience in data and enterprise integration
Data expertise applied to building Dova.
For more than 14 years, I have led enterprise data integrations, migrations and architecture modernization, from technical planning to hands-on implementation. My work includes AWS data pipelines, migrations from Informatica PowerCenter to IICS/IDMC, and platforms such as BigQuery, Snowflake and Azure SQL. I also work with metadata-driven frameworks aligned with Generative BI and natural-language query initiatives. That experience informs how I turn business needs into practical data products at Cloudata.
Dova: a product I designed and built.
I brought that experience into Dova to make data integration clearer and easier to manage. The platform combines visual mapping, reusable workflows, secure workers and operational monitoring, with a value proposition centered on integrating AI into data operations.
Explore DovaMaster in Information Technology Management · ESAN
My background includes senior integration engineering at StelluxRX, technical leadership at Powerdata and customer success at IBM, working with teams and clients across Latin America and the United States.
Technologies I work withAWS · Informatica · BigQuery · Snowflake · Azure SQL · Python
- Data integration and migration
- Cloud engineering and automation
- Metadata and Generative BI
Start a conversation
Let's discuss the outcome you need.
Share the process, data challenge, or product idea you want to improve. We will help define a practical next step.