As a longtime Microsoft partner (since 2010) with many years of experience in data analytics, cloud, and AI, we know how to get the most out of the software for our customers. Our goal here is always to exploit the full potential of digitalization. Thanks to our experienced b.telligent team of Microsoft certified specialists in a wide range of fields, we are always able to offer our customers the right solution for their needs.
For cloud platforms, AI solutions and visualization tools, Microsoft has been a reliable partner who has worked with us over many years. We have delivered many successful customer projects together. These successes are, of course, due not only to the expertise of the Microsoft team but also to our excellent relationship with them.
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Azure Synaps
Azure Data Explorer
Databricks
Azure Cognitive Services
Azure ML
Azure Event Hub
Azure Functions
Data Lake Storage Gen2
Azure SQL DB
Although Power BI is known to its many users as a self-service BI tool – and it is rated by Gartner as the market leader in this field – it can also be a strong choice in many other use cases. From simple self-service applications to the connection of an entire data warehouse with billions of rows, Power BI can be used to map nearly any scenario. Natively, Power BI enables the connection of over 160 different data sources, which can be combined in a data model. And here, too, there are virtually no limits.
Azure is a public cloud platform from Microsoft offering a range of cloud services. Key benefits are its scalability, high cost efficiency, comparatively low cost and its ability to maintain high security standards.
Azure AI offers a portfolio of AI services. Based on decades of innovative research by Microsoft, this service helps developers build their own, responsible AI solutions. For example, it is possible to access high-quality AI models for machine speech, vision, and decision-making applications via simple API connections.
Power BI from Microsoft is a versatile, intuitive, and therefore widely used data visualization tool. But other software manufacturers are also making a name for themselves in the data evaluation market. One of them is Tableau. As an experienced Power BI developer, I was recently able to try my luck with Tableau for a customer. I would like to share the results with you in the following blog post.
Do you want to prepare a Power BI report, but the data quantity is too large to even start creating visuals? Or you've actually managed to prepare the report based on such data, but Power BI desktop keeps seizing up? Or the report takes forever to be published? You're not alone here. We will therefore next provide a few tips which are easy to implement.
Microsoft Power BI is one of the most popular BI tools on the market, and offers numerous ways to process and visualize data. For even greater flexibility, you can also extend standard functions extensively by using Python and R scripts. This article describes how to integrate Python scripts, what they enable, and what to keep in mind.
Power BI from Microsoft is a versatile, intuitive, and therefore widely used data visualization tool. But other software manufacturers are also making a name for themselves in the data evaluation market. One of them is Tableau. As an experienced Power BI developer, I was recently able to try my luck with Tableau for a customer. I would like to share the results with you in the following blog post.
Do you want to prepare a Power BI report, but the data quantity is too large to even start creating visuals? Or you've actually managed to prepare the report based on such data, but Power BI desktop keeps seizing up? Or the report takes forever to be published? You're not alone here. We will therefore next provide a few tips which are easy to implement.
Microsoft Power BI is one of the most popular BI tools on the market, and offers numerous ways to process and visualize data. For even greater flexibility, you can also extend standard functions extensively by using Python and R scripts. This article describes how to integrate Python scripts, what they enable, and what to keep in mind.
Azure AI Search, Microsoft’s top serverless option for the retrieval part of RAG, has unique sizing, scaling, and pricing logic. While it conceals many complexities of server based solutions, it demands specific knowledge of its configurations.
Microsoft describes its IoT Operations as a “Range of modular, scalable, and highly available services” that run on Azure Arc-enabled edge Kubernetes clusters. It includes native integration of other MS services like Event Hub or Fabric, whereby the latter’s been generally available since November 2023. Our blog summarizes the new Azure service’s features and deployment.
Increasingly frequently, Power BI is used not only as a self-service tool, but also forms the basis of operationalized analytics applications at many internationally active companies and even in the B2B sector. This, in particular, requires Power BI reports to be displayed in multiple languages. Here you have to decide: Do I create one report per language or try to make my report filterable by language? This article considers the latter approach.
Architecture recommendations and data-processing techniques with Azure Synapse Analytics. This article of ours provides two architecture recommendations, besides showing how they ca be implemented an how data are provided for visualization.
Many companies with SAP source systems are familiar with this challenge: They want to integrate their data into an Azure data lake in order to process them there with data from other source systems and applications for reporting and advanced analytics. The new SAP notice on use of the SAP ODP framework has also raised questions among b.telligent's customers. This blog post presents three good approaches to data integration (into Microsoft's Azure cloud) which we recommend at b.telligent and which are supported by SAP.
First of all, let us summarize the customers' requirements. In most cases, enterprises want to integrate their SAP data into a data lake in order to process them further in big-data scenarios and for advanced analytics (usually also in combination with data from other source systems).
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We know each partner in our extensive network individually and will select a solution that reflects your challenges, your infrastructure, and the legal situation in your country.
We offer end-to-end support – from selection, evaluation, purchasing and implementation, through to operational management.
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Management Consultant
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