Month: July 2022

Power BI: Paginated Reports

Power BI: Paginated Reports

One of the most valuable, yet less used functionalities of Power BI is ‘Paginated Reports’. This article will explain what they are, when you need to use them and how they can benefit your organisation. At the end, some samples can be downloaded that demo the functionality.  Starting-Off with an Example As you can see […]

Transfer learning in Spark for image recognition

Transfer learning in Spark for image recognition

Transfer learning in Spark demystified in less than 3 minutes reading Introduction Businesses that want to classify a huge set of images in batch per day can do this by leveraging the parallel processing power of PySpark and the accuracy of models trained on a huge set of images using transfer learning. Let’s first explain […]

Premium Per User (PPU) explained

Premium Per User (PPU) explained

Just last week, the Power BI CAT team extended their current licensing model with the release of Premium Per User (PPU) under public preview. On what ground exactly do current licensing models differ from this new release? We’re reaching our next destination: Premium Per User! What Power BI licensing offerings Microsoft already had in store? First […]

Things to consider when creating a Data Lake

Things to consider when creating a Data Lake

Have you wondered what a data lake is? What are typical use cases for this lake? How can you benefit from a data lake are? In this blog post, we will show you the added value of a data lake while pointing-out some pitfalls and best-practices. Before diving into data lakes (ba-dum-tsss), let us start […]

Azure Synapse Analytics

Azure Synapse Analytics

Organizations understand the value of data more than ever. A Data Warehouse as a single source of truth, a data lake to store data for analytical exploration, self-service tools for data transformation, visualisation, and consumption as well as clusters to process immense data volumes. All these different use cases require other specialised tools resulting in […]

The Data Vault Methodology

The Data Vault Methodology

Data Warehouses have served the purpose of providing a source of value-added information for quite some decades. In supporting business users in their day-to-day operations, Data Warehouses integrate multiple sources used throughout the organisation, track history for knowledge improvements, auditing and compliancy, and provide the business with an easy-to-access and easy-to-explore insight layer. While Data […]

Pandas, Koalas and PySpark in Python

Pandas, Koalas and PySpark in Python

If you landed on this page to learn more about animals, I have to disappoint you. Pandas, Koalas and PySpark are all packages that serve a similar purpose in the programming language Python.  Python has increasingly gained traction over the past years, as illustrated in the Stack Overflow trends. Originally designed as a general purpose […]

How ALM streamlines BI projects: Azure DevOps

How ALM streamlines BI projects: Azure DevOps

Application Lifecycle Management (ALM) refers to a (software) development process which has been setup in a governed and easy-to-manage way. ALM provides added value to the development team, project managers and the business users. While ‘ALM’ is mostly coined by pure software development projects (…written in 100% programming languages), BI projects (which are by nature […]

Power BI and Spotify – A match made in heaven?

Power BI and Spotify – A match made in heaven?

Data isn’t life. They say music is. Well, is it? Wouldn’t it be awesome to simply combine both worlds? Let’s find out if this could turn out to be a perfect marriage. Today, with approximately 286 million users to date, including 130 million subscribers,Spotify can be considered as one the world’s most popular music streaming services.In […]