My Learning Bucket List for 2020
Last week my teammate Marius Obert shared his Learning Bucket List for Cloud Development in 2020. This made me thinking and summarizing mine too. Marius’es focus is primarily on the cloud-based development, mine is on all-things-data development.
So, my bucket list for 2020
After collecting my thoughts I realized that I do not have specific technologies or frameworks in mind, but rather trying to identify directions in which things are evolving, and what tech I need to work with to get it right. Some of these directions have clear leading technologies, but it does not mean that I should ignore runners-up as my goal is not to follow the crowd, but to have my own perspective.
We’ve all heard about Data Science, which has been buzzing for recent years. But before a data scientist can do their magic with the data they need data engineers to properly design data structures and to build data pipelines.
SAP Data Intelligence (a successor of SAP Data Hub and SAP Leonardo ML Foundations) is a product that facilitates and integrates the work done by both teams — data engineers and data scientists.
This is the product I plan to keep exploring and sharing with you in 2020. And this will drive as well the rest of my bucket list.
You might seen some of my blogs discussing spatial and graph processing. With the development of the data engineering approach to extract value from all sources of data (irrespective of their structure, speed and location) I think that multi-model data processing will keep growing. I want to stay on top of that for sure.
Interactive data processing…
Even though I have used both Jupyter and Zeppelin to some extend in the past, this year I would like to get deeper unveiling the full power of notebooks for interactive data processing. Jupyter comes embedded within SAP Data Intelligence, so obviously this is the first candidate for me.
…and data visualization
Surprise, surprise, but it seems like there are more ways to visualize data than bar and donut charts, so new libraries and approaches are still surfacing. Recently I have seen a presentation of data viz trends by Jan Fetzer and it was really inspirational!
I am talking not only about tabular data, but as well spatial, connected and textual data.
One new language I would like to have a look at is Go. It is a primary language in which SAP Data Intelligence was coded and it can be used to write powerful and top performing custom operators in this product.
What’s on your learning bucket list for this year — data-related or not? What would you suggest me adding/reviewing? Please leave your comments below.
-Vitaliy aka @Sygyzmundovych