Tag: azure

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 […]

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 […]

Managed Big Data: DataBricks, Spark as a Service

Managed Big Data: DataBricks, Spark as a Service

The title accompanying this blog post is quite the mouth full. This blog post will explain why you should be using Spark. If a use case would make sense, then we will introduce you to the DataBricks product, which is available on Azure. Being recognised as a Leader in the Magic Quadrant, emphasizes the operational […]

Keep those Power BI reports in (source) control!

Keep those Power BI reports in (source) control!

While self-service is an easy way of creating and changing existing reports, organizations may struggle with version control of the reports that are published to a Power BI service. We’ve often heard the sentence “Sh**, I’ve overwritten one of my important reports!”. Yes, this problem can also occur to experienced developers and even consultants of […]

Connecting and Using MS Graph in Azure Data Factory

Connecting and Using MS Graph in Azure Data Factory

Companies are creating more and more data, on which they want to gain insights. One valuable source of data is data from within the company itself, from the companies’ structure. For this type of data, the MS Graph API is something to look at. The API provides a single endpoint to access all kinds of […]

Loading mechanisms – Part I

Loading mechanisms – Part I

As there are huge amounts of data available within companies, data is also moved in increasing quantities from one data storage to another for multiple reasons. As copying data can come with a longer load time and higher costs, you want to make this process as efficient as possible. Luckily, there are multiple loading mechanisms […]

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 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 the […]

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 […]

The Journey of attaining the Azure Data Engineer certificate

The Journey of attaining the Azure Data Engineer certificate

On February 23, 2021, Microsoft released a new beta certification exam, Exam DP-203: Data Engineering on Microsoft Azure. It is replacing the exams DP-200: Implementing an Azure Data Solution, and DP-201: Designing an Azure Data Solution. These previous exams DP-200 and DP-201 will retire on June 30, 2021. When passing the two old exams or […]

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 […]