Blog

During selection of a connection type, several aspects must be considered. Find out here which these are, and which scenarios can be covered with the various connections.

Architecture recommendation and data-processing techniques with Azure Stream Analytics and Azure Functions. In this article, we provide two architecture recommendations, show how they can be implemented, and visualize the data acquired via IoT Central in a Power BI dashboard. Here you can read part 1.

In addition to data ingestion, data processing in the Industrial Internet of Things (IIoT) is still a major challenge for many companies. How companies successfully implement IoT projects on the basis of a 6-point plan, can be read here. An easy start in connecting industrial devices to the cloud has been described here. Also shown is how IoT Central can be used to read an industrial robot's data from an OPC-UA server, and deposit the data in Azure Blob Storage.

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.

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.

We recently explained how you can read out machine data with an edge device, visualize it in Azure, and prepare it for further processing. This post looks at the same question – only in AWS.

Ray enjoys a growing popularity in the machine learning community. Getting it up and running under Windows can be tricky however. This blog tells you how.

By deciding in favor of the SAP Analytics Cloud (SAC), you are choosing an innovative, flexible and high-performance cloud solution for your company. The next step is to choose the right analysis and visualization method for your use case. Here, we'll give you an insight into the SAC develoopment environments.

In our free series of online events under the banner of Data Firework Days, we introduced you to the b.telligent reference architecture for cloud data platforms. Now we'd like to use this blog series to take a closer look at the subject of the cloud and the individual providers of cloud services. In the first of this three-part series Blueprint: Cloud Data Platform Architecture, we were interested in the architecture of cloud platforms in general.

Read part 1 here: Blueprint: Cloud Data Platform Architecture

Exasol is a leading manufacturer of analytical database systems. Its core product is a high-performance, in-memory, parallel processing software specifically designed for the rapid analysis of data. It normally processes SQL statements sequentially in an SQL script. But how can you execute several statements simultaneously? Using the simple script contained in this blog post, we show you how.

Have you ever stumbled across the following problem? Your database contains a table of versions, and you happen to notice there are almost no relevant changes from one version to the next, which means you have way too many rows. Let’s show you how to easily solve this problem.

Long waiting periods are an irritation and a cause of much frustration when working with Tableau. In this case study, we look at how to get the performance of your Tableau data source back under control - even if you're using a live connection or a complex data model.