When use data virtualization and when replication? Three key criteria based on out best practise to consider when making a decision
With the transition to data-driven activities in large companies, you often need to have one piece of data in multiple locations so that it can be used by as many different users and services as possible – for example, providing data on client behaviour on the Web to marketing, sales, risk, and operations data platforms.
Adoki, Adastra's own tool, allows you to do this automatically. It specialises in managing two-way data transfers between primary applications, the data warehouse, the big data platform and the cloud.
Not only can you use it to “pour” data to where you need it, correctly and at the right time, but it also keeps the metadata and schemas on the source and destination synchronised with the data. You will also work with them on both sides according to uniform rules of governance.
Adoki's main mission is to synchronise data, i.e. transfer one piece of data from a specific source to several other systems. Adoki replicates data automatically and the transmissions it controls remain stable for a long period of time. It therefore ensures that data transfer takes place consistently, even if the data or metadata on the source changes for various reasons, e.g. file format, compression type or separator used, column is added to the table, columns are swapped, renamed, etc. Adoki recognises changes in data structures in the source system and automatically copies the new form of data to other systems and platforms.
Adoki provides transmissions according to your needs:
Whether your systems run on-premises, in the cloud or in a hybrid, you can easily set up, manage and control all data transfers. Adoki has a user interface in which you choose the most suitable scenario, set the parameters to suit it, and everything else is already running in the background. Adoki can be automated and integrated into existing ETL pipelines via its REST interface. All transmissions can therefore be created, generated and controlled automatically.
In addition, instead of a team of data specialists, only a few trained employees will work with Adoki, even from business. So you save twice over - on both HW and human resources. And your data specialists will be able to devote themselves to complicated data tasks.
Want to get the most out of your business data? Are you hesitant because of GDPR? You don't have to any longer. Using Adoki, you can also easily transfer data to various analytical platforms, anonymise it during the transfer, and find previously hidden connections within it. Enable your Data Scientists to realise the full potential of data and generate opportunities for your business to grow.
Are you gradually transitioning to the cloud and creating a temporary hybrid environment? You need to be sure that:
With Adoki, you can manage and administer thousands of data transfers from a single point and keep data replication costs to a minimum. When transferring to the cloud, Adoki allows you to flexibly change the volume and number of sources during the day on both the on-premise systems side and the cloud side. If you use the cloud as an archive, then with Adoki you can safely delete data from the original source on-premise systems and free up space for new daily data additions.
Are you encountering the limits of the IT infrastructure used or your IT ecosystem during planned data transfers? The painful spots include:
Adoki can resolve all these issues comprehensively without overloading the infrastructure. It allows you to define resource capacities and set time locks. It can operate all systems and optimise their loads. To do this, it uses detailed statistics on resource utilisation, based on which it detects both weak points in the synchronisation process and failures. By using Adoki, you not only transfer data, but also optimise the workload of and burden on data systems.
Are you facing a similar situation? Adoki may be able to help you.
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