Vertex AI pipelines - getting started - 1
Do you want to set up a fully automated Vertex AI ML pipeline? We'll show you the first steps.
Ray in the Google cloud – part 2
Now it’s time to configure our cluster and take it for a ride, by computing one of the famous (and beautiful!) Mandelbrot sets.
Ray in the Google cloud – part 1
A Ray cluster in the Google cloud can greatly profit from some of Google’s proprietary tools to be more secure. We show how.
SAP Data Warehouse Cloud: SAP BW Bridge
On the journey into the cloud – find out which options BW Bridge provides for a transition from existent, on-premise SAP BW systems to the SAP DWH.
End of support for SQL Server 2012: 12.07 is the last day
Mid-July is the time: End of Support for SQL! We show you, what you can do now to avoid a compliance breach.
Implementing a key-figure dimension in Power BI
Key figures belong in a fact table ... right? Not always! Here you can find out when a key-figure dimension makes sense and how it is implemented.
The Spirit of Data - Distillation in SQL – Part 2
"Distilling the essence" – we show you how to put the theory into practice.
Internationalization with Power BI
Have you always wondered how you can view your Power BI reports in multiple languages? You will find the solution here!
Machine learning in the cloud – data ingestion pipelines
Learn what to consider when using training data from the cloud, and how reading can be implemented efficiently.
Data platforms: Complete, performant and secure - part 3
The last part of the blog series is about the Protegrity platform in detail and in interaction with Exasol.
Data platforms: Complete, performant and secure - part 2
Complete, performant and secure data. We show how the mutually conflicting requirements can be met.
Data platforms: Complete, performant and secure - part 1
We'll show you how your data platforms excel primarily in terms of data availability and security, as well as data processing speed
Coordinate goals, strategy, organization and governance
15 - 20 % sales growth: How to achieve it? With coordinated data strategy, data organization and data governance. We'll show you what needs to be done!
Quantile Regression with Gradient Boosted Trees
Combining quantile regression with gradient boosted trees yields a versatile modelling
tool. Let's see how it was implemented in LightGBM!
SAP Analytics Cloud – user and operating concept
Users, roles and teams – here we classify SAC authorization options and give you an overview of the most important functions.
SAP Analytics Cloud – live vs. import connection
Is "live" always better, and does "import" harbour unnecessary complexity? We will show how you can use their respective advantages for your company!
IoT data processing – part 2
Data processing in the cloud – do you want to know how to implement serverless IoT data processing in Azure? Then check out our architecture!
IoT data processing - part 1: Azure Synapse Analytics
Data processing in the cloud – the first article contains our architecture recommendations with Azure Synapse Analytics.
Power BI or Tableau? A comparison
Projects involve a use of numerous tools such as Power BI and Tableau. But from a developer's point of view, how do they differ and how are they similar
Power BI with large data quantities: Three pragmatic tips
Is your Power BI report slow and unstable due to the quantity of data? We can give you three simple tips to master the problem.