Data services
Unleash the power of the cloud to unlock your data
Why Sentia Data Engineering?
Data is constantly generated. Handling a vast amount of information and interpreting valuable business information requires skilled data scientists. Equally important is how to securely access, move and store data. And this is what we at Sentia do best; deploy Data Lakes and Data Warehouses to serve business information. Our Data Engineering solution enables you to deliver the right information, in the right format, at the right time.
What are the challenges?
Challenges
Cloud-based and large-scale data processing has made it possible to expand your legacy data, but can also present some challenges.
New user types
Decision-makers on all levels benefit from insights gained for solid business decisions and direction, not only Data Analysts.
Changing data types
IP-enabled sensors, smart devices and massively deployed applications all generate new and diverse data types which require a dynamic approach to the entire flow.
Time-sensitive information
Information is often only briefly relevant and valuable due to continuous market changes that require swift action.
Exploding data volumes
A data growth rate of 50% per year is not uncommon meaning organizations will triple their unstructured data stored on-premises or in the cloud in just a few years.
What do we offer?
Sentia makes it possible to easily transfer your data to a Data Lake solution and/or Data Warehouse, so you can focus on your business. This starts with the basis: Data Infrastructure.
Sentia’s data experts will design a solution to improve your big data architecture. There are different stages that are important to govern and manage data: from ingestion (raw data in its original state and original location), to storing, transforming, distributing and finally the consumption of data. A diverse data structure will be a thing of the past. The new platform will improve your data governance process and the quality, speed and impact of your business decision making process.
Ingestion
Raw data in its original state and on its original location
Storage
Collection creation and storage data
Transform
Processing the data in a way to transform into another form
Distribution
Organization and provisioning of data to multiple point of use
Consumption
Support direct use of data
Put our experience to work!
In addition to delivering a Data Infrastructure, our highly experienced and skilled Data Engineers will work alongside your Data Teams. With a strong focus on Data Engineering, they will participate in all daily activities and work together with your Data Scientist and Analysts.