“Do you want to go to Boston in February?”
So began my journey to Boston to attend the recent Spark Summit East 2017, joining my colleagues Kim, Jörg and Kapil to participate in the conference and meet attendees at our Mesosphere booth. I’ve only been to a handful of single-technology events over the years, so it was an interesting experience for me.
The conference began with a keynote by Matei Zaharia which covered some of the major successes in the Apache Spark world in 2016, from the release of version 2.0, with structured streaming to the growth in community-driven meetups. As the keynotes continued, two trends came into clear focus:
- Increased use of Apache Spark with streaming data
- Strong desire to do data processing for artificial intelligence (AI) and machine learning
It was really fascinating to hear about all the AI and machine learning work being done from companies like Salesforce developing customized products to genetic data analysis by way of the Hail project that will ultimately improve and save lives. Work is even being done by Intel to improve hardware and open source tooling around deep learning (see their BigDL project on GitHub).
In perhaps my favorite keynote of the conference, we heard from Mike Gualtieri of Forrester where he presented the new “age of the customer” with a look toward very personalized, AI-driven learning about customer behavior, intent and more. He went on the use the term “pragmatic AI” to describe what we’re aiming for with an intelligence that’s good enough to succeed at what it’s put to. However, his main push for this talk was how much opportunity there is in this space. Companies and individuals skilled with processing massive amounts of data processing, AI and deep and machine learning can make a real impact in a variety of industries. Video and slides from this keynote are available here.
I was also impressed by how strong the open source assumption was at this conference. All of these universities, corporations, hardware manufacturers and more are working together to build platforms to do all of this work data processing work and they’re open sourcing them.
While at the event, Jörg gave a talk on Powering Predictive Mapping at Scale with Spark, Kafka, and Elastic Search (slides and videos at that link). In this he used DC/OS to give a demo based on NYC cab data.
At the booth the interest in open source was also strong. I’m working on DC/OS in my new role, and the fact that folks could hit the ground running with our open source version, and get help on mailing lists and Slack was in sync with their expectations. We were able to show off demos on our laptops and in spite of only having just over a month at the company under my belt, I was able to answer most of the questions that came my way and learned a lot from my colleagues.
We had a bit of non-conference fun at the conference as well, Kapil took us out Wednesday night to the L.A. Burdick chocolate shop to get some hot chocolate… on ice. So good. Thursday the city was hit with a major snow storm, dumping 10 inches on us throughout the day as we spent our time inside the conference venue. Flights were cancelled after noon that day, but thankfully I had no trouble getting out on my Friday flight after lunch with my friend Deb who lives nearby.
More photos from the event here: https://www.flickr.com/photos/pleia2/albums/72157680153926395