The four most typical use cases for data offloading with Adoki
One large Czech bank handles tens of thousands of data transfers every day. How many people does that take? Just one, who manages all the transfers using a single tool – Adoki.
Today, companies have many times more data at their disposal than they did a few years ago. And they are also using more applications, systems, data stores – all in a variety of on-premise, cloud and hybrid environments. It’s clear that in this complex and often highly sophisticated IT ecosystem, organizations have increased the requirements for data transfers. It has become prohibitively time-consuming and resource-intensive to prepare data transfers manually, and demand for automated setup, management and monitoring is increasingly acute.
At Adastra, we’ve had decades of experience with data transfers, and we’ve built numerous data warehouses, analytics and data platforms onto which we’ve had to move data.
Every day, we face a situation where a large corporation or government body needs data for a technical or business department but does not have those data readily available. This is related to the large number of different systems and applications, including mobile apps, that generate data in various forms. To be fully utilized, those data need to be properly adapted, i.e., transformed and delivered to places where the specialist departments can actually use them. In today’s IT ecosystems, transformations are enormously complex and intricate; data transfers, meanwhile, must be seamless, secure and, above all, reliable.
This is ensured by “extract, transform, load” (ETL) tools. Their task is to ease the burden on primary systems, to pick up data regardless of where and what kind they are, transform them into the required format, and load them to the target location.
ETL tools must be able to do the following:
Current ETL tools can be divided into two categories:
support a narrow set of data sources but a wide variety of data modifications
support a large set of data sources but a limited range of data modifications
Adoki connects and transforms data across a broad range of systems. At the same time, it allows the user to translate data types automatically and change data forms freely. Data transfers are also created automatically. It’s been a long time since customers were satisfied with transferring just a few hundred data objects that could still be “clicked”, but Adoki can do that too. You’ll appreciate Adoki most during initial data acquisition or when you need exact copies of the data in multiple target locations.
Just like competing ETL tools, Adoki:
Adoki is the most suitable tool for implementing recurring transfers of large volumes of data, which often run simultaneously or whose execution is time-sensitive due to the load on the IT infrastructure. You can take advantage of all Adoki’s features if you’re looking for a tool that
Author: Marcel Vrobel, Adoki CTO, Adastra