ETL Data Migration Consulting
Visual Flow is the venture of IBA Group, which was established specifically to launch a unique open-source ELT tool.
The ETL experts are all employees of IBA Group—an official IBM, Oracle, and SAP partner. They have vast expertise working with countless data-rich projects.
And we’re ready to share insights and best practices as part of ETL migration consulting services!
ETL migration
Data-driven companies often reach out to ETL migration consulting firms to integrate multiple data sources, ensure data quality and compliance, or adopt new ETL technologies.
Every year, data ecosystems become increasingly complex. Consequently, many businesses face problems with their management and data quality.
Visual Flow ETL migration experts will help you with:
- Planning your migration strategy
- Mapping data sources/destinations
- Testing and validating ETL
- Optimizing ETL performance
ETL migration consulting
All steps of the ETL/ELT processes need to be planned and prepared correctly.
Whether you use a ready-made ETL tool or a manually-coded one, or there are too many questions that need to be clarified to build a solid infrastructure, we’ll help you choose the right option and design an efficient ETL system to meet your specific business needs and goals.
Our ETL migration consultants can assist you in several ways:
- ETL-as-a-Service with custom implementation
- Improved ETL processes
- Guidance on best practices
- Data quality issues resolution
- Expertise in adopting new ETL technologies and tools
Data warehousing solutions
We develop and/or implement data warehousing solutions as part of engineering services.
A secure, reliable data warehouse and data lakes are critical to business as they ensure fast access to insightful reports and forecasts.
We build data warehouses and data lakes according to your business requirements, seeing them as components of a grander picture.
As experts in data management, we:
- Define and analyze business requirements
- Design a scalable data architecture
- Help select appropriate technologies and tools
- Implement the solution and optimize performance
- Provide ongoing support and maintenance
Why Migrate 
to Visual Flow?
Cost-efficiency
Visual Flow was designed as an ELT tool that eliminates the need for manual coding when working with Spark, saving you both time and money. By implementing best practices for ETL infrastructure, you can significantly reduce data management costs in the long run.
Ease of getting started
Getting a new ETL project up and running can be done in as little as two weeks since Visual Flow is built upon proven architecture (Apache Spark, Kubernetes, and Argo Workflows under the hood of a drag-and-drop interface) with seamlessly integrated components and data source connectors.
Improved productivity
Visual Flow empowers you with a cutting-edge intuitive interface that simplifies data mapping. The user-friendly GUI enables business users to combine and integrate data from various sources, thus facilitating advanced data analysis.
Unlimited scalability
Visual Flow provides your team with the necessary means to efficiently process constantly increasing data volumes, thanks to the unlimited scalability and parallel processing capabilities of containerized Spark jobs.
Cost-efficiency
Visual Flow was designed as an ELT tool that eliminates the need for manual coding when working with Spark, saving you both time and money. By implementing best practices for ETL infrastructure, you can significantly reduce data management costs in the long run.
Ease of getting started
Getting a new ETL project up and running can be done in as little as two weeks since Visual Flow is built upon proven architecture (Apache Spark, Kubernetes, and Argo Workflows under the hood of a drag-and-drop interface) with seamlessly integrated components and data source connectors.
Improved productivity
Visual Flow empowers you with a cutting-edge intuitive interface that simplifies data mapping. The user-friendly GUI enables business users to combine and integrate data from various sources, thus facilitating advanced data analysis.
Unlimited scalability
Visual Flow provides your team with the necessary means to efficiently process constantly increasing data volumes, thanks to the unlimited scalability and parallel processing capabilities of containerized Spark jobs.
ETL Migration Delivery model
- Understanding requirements
- Defining the use case and scope for migration
- Value stream mapping
- Identifying project limitations
- Developing systems request
- Analyzing technical, economic, and organizational feasibility
- Installing & configuring Visual Flow
- Mobilizing the team (for an old and a new system)
- Connecting to data sources
- Re-designing ETL jobs (as IS and TO BE)
- Outlining staging requirements
- Determining data quality, refresh frequency, and integration approach
- Defining transformations (checking if all required transformations are available in Visual Flow)
- Developing ETL jobs using job designer (UI elements)
- Designing pipelines (full & incremental data load)
- Running ETL jobs, monitoring logs and potential errors, and resolving issues (if needed)
- Testing the effectiveness of the implemented solution
- Testing and evaluating the credibility of data at a target
- Testing ETL jobs and pipeline
- Modifying ETL jobs and pipeline (if required)
- Comparing & improving
- User acceptance training
- Supporting and administering
- Composing ETL best practices documentation
ETL Migration Delivery model
- Understanding requirements
- Defining the use case and scope for migration
- Value stream mapping
- Identifying project limitations
- Developing systems request
- Analyzing technical, economic, and organizational feasibility
- Installing & configuring Visual Flow
- Mobilizing the team (for an old and a new system)
- Connecting to data sources
- Re-designing ETL jobs (as IS and TO BE)
- Outlining staging requirements
- Determining data quality, refresh frequency, and integration approach
- Defining transformations (checking if all required transformations are available in Visual Flow)
- Developing ETL jobs using job designer (UI elements)
- Designing pipelines (full & incremental data load)
- Running ETL jobs, monitoring logs and potential errors, and resolving issues (if needed)
- Testing the effectiveness of the implemented solution
- Testing and evaluating the credibility of data at a target
- Testing ETL jobs and pipeline
- Modifying ETL jobs and pipeline (if required)
- Comparing & improving
- User acceptance training
- Supporting and administering
- Composing ETL best practices documentation
Frequently asked questions
Visual Flow users should know basic SQL, how data sources are used, and how the transformations you would like to apply work.
Solutions on, for example, AWS Glue and Azure Data Factory use a pay-per-use model, while Visual Flow is way more affordable on the minimal capacity of 100 (question) jobs.
Unlike other open-source-based ETL tools, Visual Flow provides load-balancing, streaming, and log analysis.
Moreover, implementing open-source solutions can be associated with difficulties, such as integration complexity, limited support, lack of enterprise-grade features, and skill gaps.
However, with Visual Flow, you have access to a team of experts who can resolve these issues or have already solved them.
Visual Flow is:
- Intuitive to install in the current environment and maintain by own IT resources
- Easily estimated, predictable in terms of costs, and doesn’t require strong, technical expertise
- Integrated with flow control and parallel data processing
Not a problem! Unlike enterprise ETL migration solutions, ours is value-effective even with a small amount of processed data.
Contact us
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