With our AWS consulting, you bring data platforms, integrations and AI applications securely into the AWS Cloud. We support you from the cloud readiness assessment through architecture and migration to stable operations – with a focus on security, costs and your existing systems such as SAP.
Data, integration and AI on AWS
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partner for data integration
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AWS provides compute, storage, databases and AI services as managed services – flexible, scalable and billed by usage. As a result, you get a modern IT landscape without running your own infrastructure. How the cloud fits into your overall architecture is shown by our data warehouse consulting.
AWS operates databases, containers and interfaces. Therefore, your team can focus on applications and data.
In addition, with Amazon S3, Redshift and AWS Glue you build data lakes and data warehouses that grow with your needs.
Moreover, IAM, AWS KMS and central logging ensure secure, traceable access.
Resources scale automatically with demand. At the same time, budgets, tagging and the right instance types keep costs transparent.
In our AWS consulting, we support you from the first architecture decision to productive operations with certified cloud architects, developers and DevOps specialists.
First, we assess which applications, data and processes fit the cloud. Then we develop a tailored target architecture with a reliable cost estimate.
Next, together with you, we review solution designs against the AWS Well-Architected Framework for security, reliability, performance and cost.
We migrate existing systems step by step, build new solutions or extend your cloud. In doing so, we use as many managed services as possible.
We build data platforms on Amazon S3, Redshift and Aurora. After that, we load them with Qlik Talend, AWS Glue or serverless pipelines.
We also develop interfaces and microservices with AWS Lambda, SQS and API Gateway – scalable and low-maintenance.
Finally, we handle infrastructure as code, CI/CD and monitoring, plus operations and further development as a managed service by cimt.
For this, distributed data sources are combined in a central platform on AWS. As a result, data is always current and scalable.
First, legacy systems are consolidated with Talend and AWS services. Then the data moves into one central S/4HANA system.
Data exchange with partners runs via a serverless middleware. That is why new partners can be connected quickly.
For example, new services are built as containers and Lambda functions. They run reliably, encrypted and GDPR-compliant.
Generative AI and agents, for example with Amazon Bedrock, work on your data in the AWS Cloud – with clear permissions.
In addition, we analyse existing AWS environments and optimise compute, storage and services.
All major cloud platforms are suitable for modern data and application landscapes, but they set different priorities: AWS offers the widest range of managed services and a broad ecosystem for data and integration, while Google Cloud stands out with strong analytics and AI services. We advise vendor-neutrally and choose the platform that fits your requirements together with you. For an overview of our cloud services, see our page on cloud consulting
For porta’s multibrand storefront, cimt built a Talend integration platform in a greenfield project that delivers product data from the PIM with low latency – and trained the developers.
cimt set up a data lake on AWS S3 and a data warehouse on Aurora for hagebau connect and replaced the unreliable job server with ETL jobs on AWS ECS.
For Otto Group IT, cimt redesigned the architecture for handling file attachments and implemented two cloud-native services for processing and virus scanning. The solution is GDPR-compliant and resolves availability and encryption issues.
As a partner of AWS, Google Cloud and Qlik, we therefore recommend the platform that suits you – not the one we want to sell.
More than 25 years of experience in data projects and Qlik Elite Partner – the basis for clean pipelines into the cloud.
As an SAP Gold Partner, we know SAP data models as well as modern cloud architectures.
Architecture, migration, development and operations from a single source – with certified cloud architects, developers and DevOps.
ISO 27001-certified processes and well-designed authorisation concepts for sensitive data.
More than 300 employees in the cimt Group in Germany, the Netherlands and Spain.
Ideally with a cloud readiness assessment. First, we analyse applications and data; then we design the target architecture. In addition, you get a reliable estimate of the monthly costs.
That depends on your system landscape, your requirements and existing know-how. For this reason, we advise vendor-neutrally and deliver projects on AWS and Google Cloud.
Yes. SAP systems can run on AWS, and SAP data flows via suitable connectors into data lakes and data warehouses on AWS. As an SAP Gold Partner, we also know both worlds.
Usually with a non-binding strategy meeting and a compact assessment. Afterwards, you decide whether we build a pilot environment together.
On the one hand, with the right instance types and managed services. On the other hand, with budgets, tagging, monitoring and regular reviews based on the Well-Architected Framework.
Not necessarily, but it helps: AI needs reliable, authorised data and scalable compute. AWS offers services such as Amazon Bedrock and SageMaker for this. Find out more in our AI consulting.
Planning your move to the AWS Cloud or looking for AWS consulting for an existing environment? Then we look forward to hearing from you.
Note: This text was created or revised with the support of AI.
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