DataFrame - a Swiss Army Knife of Java Data Engineering

If you ever needed to write an ETL job, analyze your logs or even just read an Excel file, you may have discovered that it is not easy with “standard” Java. So, do you need to switch to Python or deploy on a “big data” stack like Spark or Flink to do data processing?

This talk is about DataFrame data structure that handles the above and many other data tasks. It will demonstrate a lightweight DataFrame object from the open-source DFLib library (https://dflib.org) and a couple of extra techniques that are still somewhat exotic in Java, such as Jupyter notebooks and visual charts. You will not have to learn Python after all to be a data engineer!

Speaker:
Andrus is a passionate open-source developer and a member of the Apache Software Foundation. He started programming in Java in 1998 and has founded several open-source projects, including Apache Cayenne (a developer-friendly ORM), Bootique.io (a lightweight Java app platform), Agrest.io (a framework for dynamic REST services), and DFLib (a DataFrame library for Java). In his day job, Andrus is an IT entrepreneur and runs the software company ObjectStyle.

Note:
Please RSVP for this event by the day before it happens so we can give the attendee list to the venue host/sponsor. If your name isn't on the list, you won't be allowed in. Also, make sure the name on your Meetup profile is similar to the name on your ID, which you'll need to show when you check in.