Newsletter for April 2022

We are now at the start of May and we release our 4th Newsletter! Ranging from podcasts to tutorials, this Newsletter is made for practicioners!

May 2, 2022 · 4 min read

Deploying your Data Science app to the Cloud

Let's explore how we, at Ekimetrics, automate the deployment of our data apps on the cloud. This article will gather elements from our internal & external workshops presented at Datacraft and also the video presenting some docker best practices for industrialization.

April 21, 2022 · 11 min read

Newsletter for March 2022

Ekimetrics is pleased to release its third Newsletter for the year 2022! A new feature has now been added which is a special section detailing some news that we would like to share but are not specifically linked to one of our main categories. As usual, do not hesitate to check the links added and of course using it live during your projects!

March 30, 2022 · 5 min read

Power BI - Improve your development process by using multiple environments

Learn in this article why and how to use different environments when developing products in Power BI.

March 16, 2022 · 6 min read

Newsletter for February 2022

Ekimetrics is pleased to release its second Newsletter of 2022! This cheat sheet will brief you quickly about the latest news in the fields of Data Science, Machine Learning, Data Engineering and Application Development. Warning this one is particularly ruled by DeepMind so be prepared!

February 28, 2022 · 5 min read

Demand Forecasting - Improving Supply Chain operations in uncertain times

Learn in this article how we industrialized a solution for warehouse demand forecasting to help Operations managers better allocate resources for more than 20.000 referenced products

February 22, 2022 · 8 min read

Ekimetrics implements Data Mesh. Here is why, and why you should join us

This article describes one of the inspirational patterns that drive our projects’ data architectures, the Data Mesh.

February 9, 2022 · 4 min read

Building a datalake - Part 1 - Usable, Useful, Used, or how to avoid dataswamp and empty shell traps

In this article, learn how to create your first datalake following best practices in order to make it robust, evolutive and central to your company's information architecture, as well as take advantage of the opportunities it presents.

February 7, 2022 · 17 min read

Which AutoML platform to choose to start your Data Science project?

How do Automatic Machine Learning solutions work? What are the most popular AutoML solutions out there, and what do you need to know about them to make the right choice for your use case? Find answers to these questions and many others in this article.

January 27, 2022 · 8 min read