Choose your provider and deployment architecture – public, private, or hybrid. We support them all.
Migrate data in phases, controlling which data to move, when – for uninterrupted operations.
Flexibly change from flash-cut, through phased, to on-demand – without delay.
Data migration is the process of selecting, preparing, extracting, and transforming data – and then permanently transferring it, from one system, to another.
Typically, resources are moved to a cloud provider from an on-premise data center.
Business is interested in migrating data to the cloud to enhance efficiency, reduce cost, and increase profitability. At the same time, IT would like to improve service delivery and flexibility, to better anticipate, and respond to, business needs. The following drivers fuel data migrations:
Speed, agility, and productivity
Cost efficiencies
Scalability and accessibility
Resilience and redundancy
Data migrations have been part of the business scene for years, and a great deal of knowledge has been accumulated in the process. In most enterprises, data is fragmented in dozens, or even hundreds, of siloed applications. Before it can be migrated, the data needs to be located, collected, unified, curated, cleansed, masked, and secured.
The requirements are many, but, at minimum, data migration tools should:
Collect and manage metadata on data formats, semantics, and quality – across all systems – enabling informed decision-making on mapping and transformation logic.
Automatically discover and visualize the metadata structure, and the relationships between business entities.
Connect to a very broad set of source and target technologies.
Transition in phases, by moving only the data subsets you need, when you need them.
Be flexible enough to let you to change your migration strategy as you please (e.g., from flash card, to phase, to on-demand).
Automatically validate migrated data for integrity, to assure that only fully-tested data is migrated.
Identify imperfections in the data, and correct them, on the fly.
Migrate relevant data only, while archiving old, redundant data.
Show metrics on data quality, examine whether quality-level expectations are being met, and display the status of the data migration work stream.
Separate legacy data that does not conform to the new data model, and store it separately.
A Data Product Platform operationalizes data migration, with patented Micro-Database™ technology. A data product corresponds to a business entity, such as a customer, vendor, or order. The data for each instance of a business entity (say, customer John Davis), is stored and managed in an individually encrypted and compressed Micro-Database – one per customer.
Unlike other data migration tools, not only does the platform auto-discover and match data from multiple sources, it also keeps a record of all changes – in case a restore is required – based on the principle of data integrity by design.
Enterprise Data Migration Tools connect to all data sources, support all delivery and data integration methods (e.g., batch data movement, data virtualization, and streamed data integration), and have built-in data orchestration and data masking tools – for data transformation, enrichment, and masking, on the fly.
Data teams enjoy Enterprise Data Migration Tools because they can quickly migrate clean, complete, and trusted data that’s been tested and prepared for immediate use.
Companies also benefit from the ability to deploy one platform close to the source environment, and one close to the target cloud environment – to exchange compressed and encrypted data between them – in the interests of speed and cost saving.
The cloud applications, to which most companies are migrating, are deployed in one of 3 architecture styles:
In a public cloud deployment, servers, storage, software, and other resources, are all operated by a third party on a cloud infrastructure provider, such as as Microsoft Azure, Amazon Web Services, and Google Cloud Platform.
For heavily regulated industries, like financial services and healthcare, a private cloud allows for extra security and compliance, because it is completely self-contained, with hosting and maintenance on-site.
With a hybrid cloud, enterprises benefit from the savings and flexibility of the public cloud, along with the enhanced security and control of private cloud and on-premise services. Data is orchestrated across the platforms, as needed.
K2view Data Migration Tools, based on the company's Data Product Platform, support the data migration process regardless of the deployment architecture of your applications.
According to Gartner's Data Management Solutions Primer for 2021, cloud, platform, and cloud data ecosystems are converging to support the composable enterprise, where data and analytics components, and business applications, are selected to meet specific business requirements.
without affecting the business in any way.
Get a live demo of the K2View platform to assess its fit for your use cases.
Experience the power and flexibility of the K2View platform with a 30-day trial.
Experience the power and flexibility of the K2View platform with a 30-day trial.
