Data Platform - Tailor-made solution for data-driven projects

from Michaela Tiedemann | 15 May 2019 | Basics

A data platform is one of the basic requirements for many use cases. Find out here in which cases a data platform is suitable and worthwhile as a solution for data projects.

Customers need customised data platforms to realise their data-driven use cases. A data platform can evolve as part of a solution according to a Use Case Workshop offer. It is therefore used when it is a question of transforming a concrete use case into one that can be used in practice. Data product to transform.

Inhaltsverzeichnis

Definition of a data platform

First, a basic distinction must be made: For data platforms come in two categories. On the one hand there are Internet-based data platforms (Cloud) and on the other hand there are web-independent on-premise solutions that can be tailor-made for a company or organisation. A data platform is thus one with Interfaces equipped IT infrastructure for industrial and business applications.

Furthermore, an internal distinction can be made - not all platforms are the same. There are general platforms that are implemented company-wide. These are used when collaboration or analysis tools can be used in every area of the company. There are also very specific solutions, for example in the form of a use case data platform. This primarily serves to provide all persons involved in the project with the required data or to guarantee the flow of data.

Link tip: Find out here about the basis for the realisation of use cases and implementation of Data pipelines.

Why it pays to use a data platform:

Cost-effective
Stability
Performance
Compatibility
Future-proof

The topic is currently gaining Go live of data science use cases is becoming increasingly important. A critical factor here is the stable and cost-effective operation within the framework of the data science use case. In this context, a data platform represents an optimal architecture in terms of costs, system stability, connection to existing legacy systems, performance and future security.

Learn more about going live in our free whitepaper: "7 Best Practices for Deploying your Data Products"

Our data platform services

In our cooperation with our customers, we notice again and again that there is a growing need for practical knowledge and support in setting up a data platform. That is why we want to offer our customers as complete a service as possible around the topic of data or data platform. Our services include:

Training courses on the topic of data platform (AT Academy)
Evaluation and conception of data architectures (general platforms, use case architectures) based on customer requirements
Installation and setup of a data platform
Testing, setting up monitoring, 1st and 2nd level support
Platform Readiness Workshop
Connection to external systems

Author

Michaela Tiedemann

Michaela Tiedemann has been part of the Alexander Thamm GmbH team since the early start-up days. She has actively shaped the development from a fast-moving, spontaneous start-up to a successful company. With the founding of her own family, a whole new chapter began for Michaela Tiedemann at the same time. Hanging up her job, however, was out of the question for the new mother. Instead, she developed a strategy to reconcile her job as Chief Marketing Officer with her role as a mother.