Session Schedule

Session Schedule2019-01-07T06:25:51-05:00

Tuesday

No Sessions

Wednesday

No Sessions

Thursday

10:30 AM

Enterprise Cloud Patterns - Data Management

Presented by: Pratik Patel
Time: Thursday 10:30 AM - 11:30 AM

The Cloud has changed the way developers approach building applications. Whether you're building Monoliths in the Cloud, Microservices, or Cloud Functions, the keys to successful development, deployment, and operations are challenging. How do Enterprise developers stay on top of this complexity? In...

Room: Sagewood / ZebrawoodTrack: ArchitectureTags: Cloud, Big DataFormat: General SessionLevel: Intermediate

Friday

9:45 AM

Time traveling in the cloud. Time series analytics with Microsoft Azure.

Presented by: Sam Vanhoutte
Time: Friday 9:45 AM - 10:45 AM

The data collected in IoT scenarios are often thought of as a ‘time series”. Through this data it’s possible to understand the past and use this data to anticipate the future. But time traveling is never straight forward. That’s why in this session Sam will walk you through the processing of...

Room: Indigo BayTrack: DataTags: .NET, Cloud, Big Data, PythonFormat: General SessionLevel: Intermediate
11:00 AM

Extending Spring Data and Spring Data Redis

Presented by: Brian Sam-Bodden
Time: Friday 11:00 AM - 12:00 PM

In this session, Brian will take you along for a journey into the codebases of Spring Data and Spring Data Redis to help you understand how to build your own annotation-based Spring Data extensions. Whether you are building a framework or a business/application-specific extension, understanding the...

Room: Indigo BayTrack: DataTags: Big Data, JavaFormat: General SessionLevel: Intermediate
12:15 PM

The Super Spectacular Interactive Event Driven Light Show

Presented by: Barry Tarlton
Time: Friday 12:15 PM - 1:15 PM

The ability to properly design and implement highly resilient event driven systems is critical in our data centric world. But getting one’s mind around the complex choreography of this data driven architecture can be absurdly difficult. By using a Raspberry Pi Kafka Cluster, light bars, and...

Room: CypressTrack: ArchitectureTags: Big Data, HardwareFormat: General SessionLevel: Intermediate

Data Science on the JVM with Kotlin and Zeppelin

Presented by: Pratik Patel
Time: Friday 12:15 PM - 1:15 PM

The world of Data Science heavily uses Python and Python libraries such as NumPy and Pandas. While Python is a great platform, it does have some drawbacks - one of which is performance. As Java developers, we enjoy the familiarity of the JVM and the constellation of tools and libraries available for...

Room: Indigo BayTrack: DataTags: Big DataFormat: General SessionLevel: Intermediate