March 2019 - Cloud big data, data science, and machine learning

Curious about big data, data science, and machine learning in the cloud? Interested in Hadoop, Spark, Databricks, Jupyter notebooks and more (or not sure what these even are)? Looking for where to get started and why it makes sense to do this work in the cloud, and how and why this area is different from the traditional data estate?

Come to this session for a technically-focused overview of technologies including Spark, Databricks, and the data lifecycle, from ingest through transformation to consumption. We'll consider a modern data estate and compare technology choices across it. There will be demos, informational resources, and pointers to hands-on labs you can do on your own time to learn more.

So if you're a developer, data engineer or architect who's been thinking about getting into this world but have found the sheer amount of technologies, languages and terminology a little overwhelming, come learn how these technologies work together and where you can get started.