No matter what you want to analyze, the basis should always be a high-quality database.
Data Engineering
For valuable insights and reliable results, you need a database with consistent, up-to-date data and high data quality. Well-designed data technology enables you to efficiently process unstructured, complex, and ever-growing data from a variety of sources in both large batches and a continuous stream with low latency. By using Big Data technologies, data does not have to be altered or forced into a relational schema. They also enable cost-effective scaling of performance and storage, as well as rapid access to new and existing data sources.
Create cross-system and complex analyses as well as meaningful reports.
Data Engineering
Benefits
Central database
A central location for all data and the same reference through a uniform database enable a single source of truth. This makes key figures and analyses comparable throughout the company.
Uniform standards
Uniform standards ensure high data quality and data reliability. Thus, data of better quality can be made available for analyses and reports.
Increase efficiency
By building fast processing pipelines that can effectively analyze large volumes of structured and unstructured data sets. This enables analyses from different data source systems in the shortest possible time.
Simple integration
New data sources can be easily and flexibly integrated into the infrastructure and made accessible via interfaces.
Our Data Engineering Team
supports you with
Data preparation
Extract data from disparate sources such as databases, APIs, files, or external systems and review, validate, and clean the data to ensure it is consistent and complete.
Data modeling
Creation of data models that define the structure and relationship of your data. Databases and schemas are created for secure and performant access and storage of your data.
Data cleansing
This cleanses and transforms your data by correcting erroneous, incomplete or inconsistent data. Data validation helps to ensure that the data meets the defined quality standards.
Data integration
ETL processes extract, transform and load your data into the desired format. The data is thereby integrated from different data sources or data source systems into an analysis platform to create a uniform and integrated view of the data.
Data quality assurance
This ensures that your data is of high quality and meets the defined standards. Data profiling and data mining are used to identify and eliminate data anomalies or inconsistencies.
Data management
Management of databases and other storage media to ensure the integrity and security of data.
We support you in this!
Benefit from an
optimal Data Engineering
We support you in the data management process with optimal data engineering that captures your (raw) data from various source systems, puts it into a clean, structured, and usable form, and prepares it so that it is accessible for analysis, processing, and use in companies. It doesn't matter whether the data is unstructured, complex, consistent or constantly growing. We help you to prepare your data in such a way that data quality, data integrity and data consistency are guaranteed. In this way, you strengthen confidence in your data and create the data basis for reliable results and valuable insights.
