Data Factory
Efficient data processing
The acquisition and manual preparation of data represents a considerable proportion of the development effort for data-based applications. This effort often prevents the use of real-time data. The doubleSlash data factory automates precise and targeted preparation of data, enabling automated generation of data products to facilitate reliable data-driven decisions.
Our data factory helps you gain valuable insights into your products, your clients and the interaction between them.
Your Data Factory Roadmap
Based on your use case and the associated data requirements, we define and design the appropriate data assets. After the setup with ready-made Terraform templates, we implement the data pipelines and successfully put your data factory into operation. Your benefit: Quickly to your productive data factory.
Time saving and optimal quality through data products
Whether it's about analysing correlations, training intelligent algorithms or developing data-based applications: without the right dataset, developing data products takes an inordinate amount of time.
Data analysts and developers find themselves hitting the same hurdles time and time again.
Value data
Challenge: It’s not clear which technical data is needed. The definition of the data product is not specific enough, meaning that mapping to existing data or data yet to be acquired is not possible.
Our Solution: The necessary data products are recorded for each use case and used to derive the technical data requirements. This creates clear prerequisites in terms of the required dataset.
Accessing data
Challenge: Continuous changes to datasets prevent reliable use of data and lead to errors in the applications.
Our Solution: Clear maintenance processes and responsibilities facilitate reliable use of data products.
Dataset
Challenge: Existing datasets are not fully transparent or accessible.
Our Solution: Existing and additionally required data sources are systematically cataloged, optimised and integrated. The data is processed into a technically meaningful overview in the form of a data product.
Data use
Challenge: Continuous changes to datasets prevent reliable use of data and lead to errors in the applications.
Our Solution: Clear maintenance processes and responsibilities facilitate reliable use of data products.
Towards an efficient production line for your data products
How we design your data factory for
high-quality data products
We build the Data Factory with the help of our technology stacks.
The Data Factory is available both on-premise and in the cloud. You are not tied to one provider.
Here you will find an overview of our established technology stacks:
Data Factory Technology Stack on Azure
Data Factory Technology Stack on AWS
Data Factory Technology Stack On-Premise
That's what you get from us:
- You receive a Data Factory that is individually tailored to your needs: depending on your company's requirements, technology environment and level of data maturity, we create the functional software for processing your data.
- You receive fully functional production lines.
- We put these into operation together with you.
- You can expand these together with us or independently to create high-quality data products.
- With our roadmap, we accompany you efficiently and unerringly to your ready-to-use data factory.
Our assets & experience:
- We have many years of cross-industry project experience in the provision of information for data-based decisions – also from our own experience. We quickly adapt this to your challenges.
- We use an established process model for the introduction of a data factory so that you can achieve a tailor-made solution more quickly.
- We create the data factory on the basis of established technology stacks so that you have a future-proof and easily maintainable solution.
- We specialize in your customers' data as well as products and their interactions with each other. We are familiar with specialist problems and suitable technical solutions thanks to our broad domain knowledge.
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Successful data factory examples in practice
More than just prepared data
A data product is a product-like dataset that generates a specific benefit. Data products are created by the data factory and can be accessed through an API, for example. Actual use of the data products (such as visualisation) is carried out by subsequent applications such as BI systems, dashboards, process controls or use cases such as intelligent fault detection.
How can we help you with your production line for data products?