Data Engineering
Data engineering helps you extract more value from raw data
What is Data Engineering?
Within data teams, you come across different forms of what a data engineer does. At its core, data engineering is about creating a road network for information. Data engineers are the builders. They ensure that data flows from one place to another. They also collect information, check if it is correct, and ensure it is stored securely.
During processing, data engineers make the data usable. Other people, such as data analysts or data scientists, then use this converted information. They use this data to create valuable insights, such as how customers use a product or which products sell the most. These insights play an essential role in making the right decisions for businesses. With a solid foundation of data engineering, organisations develop better-informed strategies to strengthen their competitive position.
What is the difference between data engineering and data science?
Data engineering and data science are highly complementary but have different roles. Data engineers focus on transforming complex data into a usable form.
On the other hand, data scientists use this usable data to discover patterns and trends. They deploy statistical models and apply machine learning algorithms to make predictions, such as sales forecasts. This enables the organisation to make better decisions.
Organizations sometimes misjudge the essential role data engineering has in a data team. Data scientists and analysts are then tasked with doing as much as possible with the current data. Only then the data turns out not to be useful or reliable. The cause? Too little thought has gone into data engineering, resulting in minimal usable data. So our tip: start by getting a good data engineering organization in place!
Kick-off your data-driven organization
Use our resources to gain insight and get started with your data-driven organization.
Data Maturity Calculator
How efficiently does your organisation process data?
Data Platform Checklist
Where do you start your data management journey?
Client Case with KLM
An efficient infrastructure for KLM’s predictive models
How we help you to get more out of data
Want to get more out of your data but don’t have useful or right data? Let our engineers and project teams give you a hand and take the next step toward a data-driven organization!
Cloud data platform
Bring processed data together centrally in the cloud and get valuable insights. This is how we help you set up a cloud data platform.
Data pipelines
Are you dealing with large amounts of complex data? With data pipelines, you make unstructured data usable and available.
Bootcamp talent
Are you looking for fresh reinforcement? We train talent to become data engineers. They gain experience with you. A match? You can possibly take over after one year!
Our partners
Why choose LINKIT as your data partner?
Are you looking for a partner to help you develop a data platform or pipelines? Or are you looking for a partner to help you maintain and manage? Having a data partner provides a fresh perspective in your organisation. We do this by working through the 4D model: Dream-Design-Develop-Drive. First, we want to properly understand your needs and explore together what the most innovative way forward is. As an AWS partner & Microsoft Azure partner, we work daily with organisations to build and manage data pipelines & data platforms.
Data engineering projects we have done earlier
We do data engineering at these clients
Ready for more data efficiency?
You want more data efficiency. We get you. Data is becoming increasingly complex while the opportunities for your organization are multiplying. Contact us and tell your story.
Samantha Verkouteren
