Using grid variables in Matillion (Part 2)
In this blog series we show how to build a simple generic ODS with Matillion and demonstrate the use of grid variables.
Using grid variables in Matillion (Part 1)
In this blog series we show how to build a simple generic ODS with Matillion and demonstrate the use of grid variables.
Three basics of BI quality management
Why is BI quality so problematic? This article helps consider the topic of BI quality management comprehensively.
Visualizations in reports
Learn in this article about the most important tips that tell you what to consider when creating visualizations in reports!
Child´s game "Guess Who": for Data Science enthusiasts
Read part 2 of the article to find out how Data Science can be used to develop the perfect winning strategy for the children's game "Guess Who?".
Data Science for kids: how to win at "Guess Who?"
The child's game "Guess who?": How to win and which question you should definitely ask first in the game is shown in part 1 of the article series.
Why data catalogs are more important than ever
Those who use data governance in a smart and agile manner receive an indispensable added value in addition to the security of managing their data in complian
From DWH to high-performance cloud platform
More performant, more flexible, faster loading – just some of the powerful arguments for a data warehouse in the cloud. Pity about the migration!
Recommender systems 3: Personalized recommender systems
Teil 3 zeigt die Möglichkeiten personalisierter Recommender Systeme, die Vorteile von Machine-Learning-Methoden & die Erfolgsmessung von Empfehlungssystemen.
Recommender systems 2: Non-personalized processes
This blog post provides an overview of the underlying algorithms of modern recommender systems and facilitates the selection of suitable recommenders.
Great Expectations
Data quality checks are important, but not always possible due to a lack of tools. This article shows how to close this gap using Pipeline Test.
Reducing Complexity in Campaign Management
Coordinate all marketing resources perfectly with targeted marketing resource management within the framework of campaign management - read on now!
The second day of PAW 2019
On day two of PAW 2019 in Berlin we see how data science use cases can be integrated into companies in a value-generating way.
The first day of PAW 2019
So that was Day 1 at Predictive Analytics World. Our colleague Dr. Michael Allgöwer reports on his impressions and explains the benefits of entropy.
Building Blocks for intelligent Applications
Our blog post gives an overview of AWS AI Services: One way to integrate Artificial Intelligence into intelligent applications.
Neural averaging ensembles
Find out how ideas from ensemble learning can be used to tailor neural network architectures for applications based on tabular data.
Datenschutz im DWH
Can data privacy and DWH be reconciled? Our blog post shows how to bring your data warehouse into line with data privacy requirements.
Small cause, large effect: Filters in SAP BW
Do you want to set a query filter but nothing works? This needs to be considered in SAP BW queries to achieve efficient performance reporting - read now!
Reinforcement Learning & Bayesian Statistics - Part 2
TensorFlow Probability is a hot new tool from Google. We blend it with some Bayesian Statistics to make reinforcement learning less data-hungry.
Reinforcement Learning & Bayesian Statistics - Part 1
In this article, you will learn how Bayesian Statistics is related to reinforcement learning and might make the latter less data-hungry.
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