Endorsed by Curators:
Capital One Conference Center, McLean, VA
*** REGISTRATION FOR THIS EVENT MUST BE COMPLETED HERE AND NOT VIA MEETUP:https://goo.gl/9r663d***
Join us for the second annual Spark Saturday Event hosted by Capital One, MetiStream, and Databricks in partnership with the Washington DC Apache Spark Interactive and Bay Area Spark Meetup! This is a FREE event hosted by a community of Spark enthusiasts to foster Big Data innovation in the DC Area and support the fastest growing Big Data project - Apache Spark. Hear from the industry experts who are actively contributing to and shaping the development of Apache Spark and successfully implementing Spark into production.Read morehere (https://goo.gl/P3UBtV).
Our agenda includes:
- Learn how Capital One is leveraging Apache Spark to prevent credit card fraud.
- Learn how to use Apache Spark properly in your Big Data Architecture.
- Learn how to serialize and deploy Apache Spark Machine Learning algorithms.
Take a free Apache Spark training/workshop class taught by Databricks, founders of Apache Spark, and MetiStream, Certified Spark System Integrators and Spark Trainers. Two separate 2.5 hour classes will be available for beginner and advanced students.
The beginner class will cover concepts on Apache Spark fundamentals, DataFrames, Datasets, SparkSession, Spark SQL, and Structured Streaming, all with hands-on workshops conducted on Databricks Community Edition.
The advanced class will use Hail, an open-source genomic process tool built on Spark, to take participants through a hands-on healthcare use case and demonstrate Sparks machine learning capabilities on Databricks.
We will leverage the Databricks Community Edition - designed for developers, data scientists, data engineers and anyone who wants to learn Spark. In our training class, we will provide an Apache Spark Quick Start and review various demos to help jump start your Spark education.
Training tickets are subject to availability. You will be notified a week before the event if a seat is available.
- 8:00 am: Registration and Breakfast
- 9:00 am: Kick-off
- 11:00 am to 1:30 pm: Two Training Sessions
- 10:00 am to 4 pm: Multiple Tech-talk sessions
The event will include free breakfast and lunch. We will follow the event with a happy hour and drinks (cash bar). More details to follow.
WHO SHOULD ATTEND:
Anyone interested in learning more about Spark including advanced and new learners. Business professionals, technologists, and students are welcome.
Free parking is plentiful and available on-site