Data Engineering & Data Analytics
What is our target?
Our goal is to ensure that you as a company can make better decisions in the future and achieve improved results.
We do this by using modern methods to analyze and evaluate your data.
In this case it would be predictive analysis.
Data Engineer vs Data Analyst
Roughly speaking, the data engineer is responsible for the infrastructure of the data. In particular, it is about the clean and reliable structure of the data streams. This is referred to as data pipelines.
The data analyst, on the other hand, is responsible for evaluating and interpreting the data. They take care of extracting insights from the data.
What makes data engineering important?
Today, data can come into their business in a variety of ways, such as through order transactions or customer behavior on their website.
What do our data engineers do?
In the ETL process, we create a data pipeline to let the data wash up from all available sources.
We place a particularly high value on the efficient storage and management of the flood of information. No matter how large the amount of data ultimately is, our trained data team, equipped with sufficient professional experience, is able to scale and structure it.
For storage, we use modern frameworks such as Hadoop or cloud services such as AWS.
What makes data analytics important?
Data analytics is about extracting insights from data. The term encompasses all processes, tools and techniques used for this purpose.
What do our data analysts do?
Their main task will be to analyze their data using modern technology and statistical analysis to determine possible trends and potential problems.
With our data engineering team, the data is well structured, optimized and stored. This process ranges from collecting, organizing and storing the data to interpreting and analyzing the data.
The analyzed data can then be used to describe and predict performance.
Translated with www.DeepL.com/Translator (free version)
Were those all the duties of the data engineer?
Quite clearly no! The tasks of a data engineer are very diverse. Depending on the conditions and requirements, they solve different problems. In a conversation, you tell us your criteria, and we take care of the technical implementation. .
Our data engineers not only deal with data warehousing, but also carry out monitoring especially for you. In order to make the algorithms even more efficient and better, they also sometimes make changes.