Knowledge base

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As a learning organisation, element61 stimulates its consultants to further build on their already vast experiences through investments in a personal development plan and a company-wide content development initiative. Through formal training, presence at industry events, networking, recommended reading and internet based information exchange, our consultants further dive into specialized topics of their own interest.
 
These result in what we call "Insights", own produced research content, often complemented by personal experiences and opinions. Below you can find our currently published list of Insights.
On June 18th 2020, Databricks announced that the Apache Spark 3.0 release is available as part of their new Databricks Runtime 7.0. Apache Spark 3.0 itself got released only 8 days prior on the 10th of June. We really love these quick innovation...
Portrait de Yoshi Coppens
Yoshi Coppens
It’s not easy to work with incremental data in a data lake. If you would want to transform only the data files that just entered your data lake, you would need a notification service, a message queue and/or a batch trigger all to just get the...
Portrait de Ivana Pejeva
Ivana Pejeva
As the official documentation is not covering this, we have built a guide on how to create an Azure Machine Learning pipeline and how to run this pipeline on an Azure Databricks compute.
Portrait de Pieter Sterkens
Pieter Sterkens
On 13 May 2020, the NYC Apache Airflow Meetup hosted a virtual event entitled “What’s coming in Airflow 2.0” . Being big fans of Airflow at element61, we were curious to find out what changes are to be expected in this long-awaited...
Portrait de Sacha Dubrulle
Sacha Dubrulle
In recent years many different ML lifecycle tools have been developed. Kubeflow is one of these tools, offering promising features in the field of creating and deploying ML pipelines. We outline how to run it on Azure
Portrait de Jasper Penneman
Jasper Penneman
AI beating world champions in complex strategy games such as chess or Go? Have you ever wondered how this is possible? In this insight, we outline the underlying training technology, namely Reinforcement Learning step-by-step.
Portrait de Floriant Sturm
Floriant Sturm
Are we on the eve of a breakthrough for predictive analytics within the Office of Finance? Will covid19 speed up embracing predictive analytics supported & automated forecast and budget reporting? Contribute to the success of the business, act...
Portrait de Kevin De Ruyck
Kevin De Ruyck
Power BI Premium provides dedicated resources to run Power BI in an organization. It can be a great cost saver to try and use this dedicated capacity as efficiently as possible without paying for unneeded resources. This is where performance tracing...
Portrait de Davy Van Goethem
Davy Van Goethem
As data professionals, our role is to extract insight, build AI models and present our findings to users through dashboards, API’s and reports. Although the development phase is often the most time-consuming part of a project, automating jobs...
Portrait de Sacha Dubrulle
Sacha Dubrulle
The goal of this document is to go over the considerations and settings needed to create a successful Power BI implementation. We will be using a high-level view and focus on large corporations with many users.
Portrait de Davy Van Goethem
Davy Van Goethem

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