Please join us for another speakers session! This time, all content will be around the Internet of Things & Big Data.
What can you expect?
The 3 speaking slots will be filled with experienced speakers sharing their insights and issues they came across while working on Open Source IoT / Big Data projects. You can expect to see technical presentations focusing on specific projects as well as beer and pizza! Please check out the talk descriptions below for more detail.
How does the agenda look like?
• 6:00PM - 6:30PM: Networking
• 6:30PM - 6:45PM: Ben Busse: Architecting IoT Apps for the Cloud
• 6:45PM - 7:15PM: Q&A/Discussion on Ben's talk around IoT Apps and the Cloud
• 7:15PM - 7:30PM: Roman Shaposhnik: Meet Tachyon - Powering SPARK and the In-Memory
• 7:30PM - 8:00PM: Q&A/Discussion on Roman's talk around SPARK and In-Memory
• 8:00PM - 8:10PM: Lightning Talk - Paul Nakata: How we use GitHub to build GitHub
• 8:10PM - 9:00PM: Final Networking & Discussion
Ben Busse (DreamFactory): Architecting IoT Apps for the Cloud:
Ben will present a short case study about using open source technology to manage IoT data in the cloud. The talk will cover a specific IoT use case for building automation and highlight some important IoT challenges, including handling large data volumes, aggregating data for analysis, configuring event-level rules, and exchanging data between sensors and backend data stores.
Roman Shaposhnik (Pivotal, Apache Software Foundation): Meet Tachyon - Powering SPARK and the In-Memory:
The Big Boss™ has just OKed the first Hadoop cluster in the company. You are the guy in charge of analyzing petabytes of your company’s valuable data using a combination of custom MapReduce jobs and SQL-on-Hadoop solutions (you are using HAWQ aren’t you?). All of a sudden the web is full of articles telling you that Hadoop is dead, Spark has won and you should quit while you’re still ahead. But should you?
This talk will focus on re-examining the current hardware trends and how they shape the next generation of in-memory bigdata management solutions around Apache Spark and Tachyon. A modern datacenter looks nothing like what Google had when they came up with GFS and MapReduce. Lets see what it means for software.
Lightning Talk: Paul Nakata (GitHub): How we use GitHub to build GitHub:
Discover the workflows and tools that GitHub uses to build and manage GitHub from idea to deployment (and beyond).
The meet up will take place in the beautiful SAP campus in Palo Alto, more specifically in the Cafeteria of Building 1. Feel free to bring your laptops, we will provide seating & tables.
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