Atlassian Corporation Plc is an Australian enterprise software company that develops products for software developers, project managers, and content management. It is best known for its issue tracking application, Jira, and its team collaboration and wiki product, Confluence.

The conference was organized by the
Hungarian Atlassian Platinum Solution Partner, META-INF company . I received the ticket from the organizers of the meetup. I intend to contribute to the meetup’s ongoing success in the future.

People not familiar with the Atlassian ecosystem don’t know that it has millions of users around the globe helping small and mostly large companies focusing on the business. The key value of the system is the power of connection, you don’t have to manage lots of independent software for different business processes. Let’s look at Tempo as an example, it has a work logging app, a work planning app and a budget managing app all connected. You can check who is available for a task/issue/project, plan the work according to it and automatically set and monitor a budget estimation for the project.

It was great to see and talk to the vendors from different countries such as Iceland, Switzerland, Germany and Spain. The vendors prepared with some awesome gifts such as T-shirts and stickers, luggage-card-holders. I have only one sticker on my notebook so far and that is a “BE a F*CKING LEGEND” sticker from Resolution.

I went to about 6 workshops held by vendors which were all useful. I won’t go into details but you can watch demo videos on the vendors’ websites, YouTube channels and even try some of the features online.

Besides power of connection, the other lesson I took home with me was that you should not reinvent the wheel if you can find a solution from a vendor with a price that is cost-effective for your business process. The organizer company, META-INF offers consultation and sells licenses with benefits.

Passed Exam 70-774 Perform Cloud Data Science with Azure Machine Learning

It was a dark Saturday afternoon with my fellow data science workshop members when we were trying out different parameters while running a Titanic ML tutorial in a Jupyter notebook. Can we improve our model by using a different model or cleaning missing data in a different way?

Passed on 2019-05-21

In Azure Machine Learning Studio you can create a machine learning model by dragging and dropping modules and setting their parameters. You can use it for free. Azure Machine Learning Studio is a good way to start learning about ml because it has a large number of template models in the gallery that you can study or customize to your problem.

I have used this Udemy course and the Exam Ref book and MSDN to prepare for the exam.

The exam is going to retire in 2019-06-30, I think it involves too many programming languages. Most of us choose between python and r but the exam requires understanding the basics of an R script python and other script languages.

I recommend the exam ref book and getting to know the Azure Machine Learning Studio to give structure to studying ML before you start working on your own projects.