Applying Data Engineering
We help you build the infrastructure to make the most of your data.
Mature startups have a ton of data. But usually, they don’t have the means to make the most of this data to forge valuable insights, build forecasts, or integrate AI and ML. At Scaleapp, We can help startups that are already running and working with customers by deploying the following services:
Making the most of the data you are collecting should be one of your top priorities. We will consult and develop effective systems based on data engineering technics that collect and manage variety of data from different sources, full automated. We build Data warehouses, Data lakes and Lakehouses as a central scalable data repository for your company , so your data analysts and scientists don’t have to do manual work any more.
Moving from an on premise to a Service oriented model allows you to create a central infrastructure in the cloud, making it easier for clients to use your services rather than prompting on-premises installations each time, thereby improving efficiency , stack management and the client’s experience. At Scaleapp, We can assist you to complete this big step and finally to Save resources, Improve Security, Connectivity, Faster deployment and freedom to focus on other business tasks.
Maximizing data engineering options means that your company will universally access the same data across departments, avoiding any inconsistencies and creating a more reliable workflow.
By eliminating the dependence on data analysts and scientists, and reducing the burden of manual data management, your data lake will allow you to move easily within production level, thus enhancing scalability.
When you move to a cloud SaaS model, the customers you work with will engage with a more intuitive and smoother interface, making their experience more enjoyable.
By allowing your data to work for you, opportunities to engage with AI and ML will open.
