When use data virtualization and when replication? Three key criteria based on out best practise to consider when making a decision
With the advent of digital processes, the importance of data and their storage and further processing or analysis increases. Companies' IT ecosystems are becoming ever more complex, and the amount of data that companies collect and analyse is growing. The number of systems where data is stored and the number of ways, how and where it is handled is increasing. All this results in a growing number of data transmissions taking place in companies' IT infrastructures.
At Adastra we have been dealing with data for more than 20 years. Our customers frequently need to perform the following processes, both once and repeatedly:
Adoki, a replication tool developed by Adastra on open-source technologies, helps with these and other tasks. Adoki:
One of the most important banks in the Czech Republic needs to automatically move huge amounts of data between the data warehouse and the Big Data platform. It uses the Adoki replication tool, which manages and administers all data transfers between a large number of platforms, including primary applications and other databases (Teradata, Oracle, PostgreSQL, SQL Server), from a single location. Adoki ensures the consistency of complex data structures and saves time, effort and resources in companies that require data in multiple locations across different data platforms. Data transfers are automatically synchronised, scheduled and monitored. The bank and Adoki gained the certainty that data transfers run smoothly and are completed on time.
The implementation of Adoki does not require any additional investment in the company's hardware (when a Big Data platform is in place) and is completed within 4 weeks. Thanks to the intuitive graphical user interface, both a data specialist and a trained business user can work with it immediately after deployment to the organisation's IT ecosystem.
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