Data Migration and Integration
In today’s world of sleepless generation of “Big Data”, it is imperative that data integration and data migration is very well-established and a seamless processes — whether you are creating the data lake from the input data, moving from one repository to another, converting data warehouse to a data mart, navigating through the cloud. Without a robust data migration plan, you are likely to run over budget, overwhelmed by a plethora of data processes, or land up with suboptimal data operations. We focus on the following
We focus on the following areas:
- Assessment of the Source
- Understand the quantum of data being pulled over, nature of the data as well as how it can be absorbed in the target system
- Create a comprehensive data-mapping plan including entity mapping, data inconsistency check, data redundancy check, data stability check, data cleansing, and maintainability analysis.
- Beyond meeting the requirements for data fields to be transferred, we collaborate with you to run an audit on the actual data contained within and help you to validate the process of migrating that data in the first place or deciding that a fixation is needed in the source system itself
- Design the Migration
- We undertake the design phase is where we define the steps of migration to take on based on importance, adequacy and stability.. This also draws out the technical architecture of the solution and details of the migration processes.
- We create a comprehensive project plan for executing the migration by the clock considering reporting and resolving for the errors.
- Security planning is embedded in the project plan. Any data that needs to be protected should have protection threaded throughout the plan.
- Build the Migration Solution
- We take a step wise approach to break the data into subsets and build out one category at a time, followed by a test. Also, the selection of right tools for your environment is crucial at this stage.
- We also provide you a path for continuous migration-capturing the changes in the source system, propagate the changes to the target system with appropriate transformation.
- We will help you to choose industry standard connectors to build your solution
- Conduct a Live Test
- Apart from testing the code during the build phase with real data, we create a complete data assurance plan to ensure the accuracy of the implementation and completeness of the application.
- Flipping the Switch
- Once a complete acceptance testing is done, implementation can proceed, using the style defined in the plan.
- Once the system has gone live, we help you to set up a comprehensive audit plan in order to ensure the accuracy of the migration.
Netwoven specializes in Microsoft Azure Data and AI technologies to provide Data Engineering services. Our experienced consultants work with the complete array of Microsoft products e.g. Azure Cosmos DB,Azure SQLDatabase, Azure Data Lake Storage and Azure Data Services.
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