Data Engineering
Data engineering helps you extract more value from raw data
What is Data Engineering?
Within data teams, you see different versions 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 make sure data flows from one place to another. They also collect information from various sources, verify its accuracy, and ensure it is stored securely.
During processing, data engineers make data usable. Other people, such as data analysts and data scientists, then use that processed data to create useful insights. For example, they can see how customers use a product or which products sell the most.
These insights play an important role in making the right business decisions. With a solid data engineering foundation, organizations develop better-informed strategies and strengthen their competitive position.
What is the difference between data engineering and data science?
Data engineering and data science are highly complementary, yet they have distinct roles. Data engineers focus on transforming complex data into a usable form.
Data scientists use usable data to find patterns and trends. They apply statistical models and machine learning algorithms to make predictions, such as sales forecasts. This helps the organization make better decisions.
Organizations sometimes misjudge the essential role data engineering has in a data team. Data scientists and analysts are tasked with maximising the potential of the current data. Only then does the data turn out to be invalid or unreliable. The cause? Too little thought has been given to data engineering, resulting in minimal usable data. So, our tip is to start by getting a good data engineering organization in place!
The cause is simple: data engineering has received too little attention, leaving too little usable data. Our advice is to get your data engineering organization in order first.
Kick off your data-driven organization
Use our knowledge to gain insight and start building 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 predictive models
How we help you get more out of data
Do you want to get more value from your data, but you do not have usable data available? Let our engineers and project teams help you take the next step toward a data-driven organization.
Cloud data platform
We help you set up a cloud data platform by connecting processed data centrally in the cloud, enabling you to gain valuable insights.
Data pipelines
Are you dealing with large amounts of complex data? With data pipelines, you make unstructured data usable and available.
Data Engineer talent
Are you looking for reinforcement? We train talent to become data engineers, and they gain experience with you. Are you a match? You can take over after one year!
Our data engineering heroes
Ranith
Gergo
Arthur
Why choose LINKIT as your data partner?
Are you looking for a partner to help you develop a data platform or data pipelines? Or do you need a partner to help with maintenance and management?
A data partner brings a fresh perspective to your organization. We work through the 4D model: Discover-Design-Develop-Drive. First, we want to understand your needs properly and explore the smartest route together.
As an AWS partner and Microsoft Azure partner, we work with organizations that want more data efficiency.
Data engineering projects we have done before
We do data engineering for 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.
Daan de Groof
