Barbara is a Data Solution Architect with strong software development background. While working with a variety of different companies, she gained experience in building diverse software systems. This experience brought her focus to the Data Science and Big Data field. She believes in the importance of the data and metrics when growing a successful business. Alongside collaborating around data architectures, Barbara still enjoys programming activities.
English session - Beginner
Visualisation is an important step when trying to make sense of data. Proper presentation skills can lead to more interesting questions and better conclusions. R environment's visualisation capabilities are one of the main reasons if it’s popularity. During this talk, attendees will get introduced to different R visualisation techniques. The platform offers proper language constructions, data structures, powerful libraries and community support.
English session - Intermediate
One of the dimensions in the big data world is the velocity. Real-time pace introduces new challenges, especially when trying to apply advanced analytics solutions. Azure ML provides an easy and inexpensive way to use machine learning as a service. The talk will show how to use it when working with data streams for the predictive maintenance problem. It will present big data architecture that enables data ingestion, analysis and persistence.