Monthly Archives: April 2020

Dashboarding in Jupyter notebooks

Jupyter Notebooks are becoming the IDE of choice for data scientists and researchers. They provide users with a nice exploratory environment where they can quickly research and prototype different models and visualize the results all in one place. Notebooks are easy to share and can be converted into documents/slides to present to stakeholders. With widget […]

How SAP helps customers to bring innovation to life

Innovations are everywhere and an integral part of IT industry. SAP discusses latest IT trends with their Premium Engagement customers and helps realizing their potential. Those topics include for instance DataScience and Analytics architecture or Hyperscaler architecture topics. I will share some of the examples in those areas and how SAP customer implement the potential […]

How to deploy up to 2000 times per week

At Pipedrive, we deploy our changes to different types of environments in 3 datacenters up to 400 times per day, which includes ~120 deployments to production daily. Considering these numbers, we should be flexible enough to deliver new features in a fast and reliable way. I want to introduce the processes that helped us to […]

Build and Deploy Applications to the Cloud

You’ve setup a project and got it to run on your machine. Now comes the part to deploy, but where, and how? Cloud computing offers the ability to host applications anywhere, anytime. In particular the Oracle Cloud offers a wide range of APIs you can choose from. Particularly from a Java developer’s point of view, […]

Doing real-time stream processing at Bolt

Bolt is one of the fastest-growing companies in Europe and so are our data volumes. In our day-to-day operations, we heavily rely on data for decision making and machine learning. At some point we realized that traditional ETL approach is not performant enough for us any more. So we decided to switch towards real-time stream […]