Session Schedule

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

Tuesday

1:00 PM

Hadoop Essentials

Presented by: Eric Richardson
Time: Tuesday 1:00 PM - 5:00 PM

Big Data and Cloud platforms have their origins in Hadoop. Learn the fundamentals of HDFS, Map Reduce and Yarn the three core components of Apache Hadoop. You will start a sandbox cluster, interact with HDFS, learn how HDFS saves data and why it does it that way. MapReduce is an important...

Room: Salon HTrack: DataTags: Big DataFormat: PreCompilerLevel: Intermediate

Wednesday

8:00 AM

Kafka: Build, Deploy, and Monitor Your First Real-World Application

Presented by: Justin Pihony
Time: Wednesday 8:00 AM - 12:00 PM

Companies nowadays are finding it critical to be able to gather and analyze massive amounts of disparately-sourced data, quickly and reliably. By diving into the fundamentals of Apache Kafka, you will learn how it can be more than a superior, distributed messaging system, but also a platform to...

Room: Salon HTrack: DataTags: Big Data, Functional ProgrammingFormat: PreCompilerLevel: Intermediate

Thursday

9:15 AM

A .NET Data Access Layer You're Proud of (Without Entity Framework)

Presented by: Jonathan "J." Tower
Time: Thursday 9:15 AM - 10:15 AM

If you're a .NET developer, it almost goes without saying that you use Entity Framework as part of the data access code on your software projects. Sometimes, EF is just right for the job, but other times you want something more simple, with better control of the generated SQL queries, and more...

Room: ZambeziTrack: DataTags: .NETFormat: General SessionLevel: Intermediate
10:30 AM

[CANCELLED] Adding Search Capabilities to your Applications with Elastic Search

Presented by: Rod Paddock
Time: Thursday 10:30 AM - 11:30 AM

This session has been cancelled. We apologize for any trouble this causes.

Room: Sagewood / ZebrawoodTrack: DataTags: .NET, Cloud, Big DataFormat: General SessionLevel: Intermediate
4:45 PM

Horizontal Scaling of Graph Databases

Presented by: Ryan Hendrickson
Time: Thursday 4:45 PM - 5:45 PM

A very real problem is choosing what data to prioritize when storing it in a graph database. Most graph databases, including Neo4J, the number 1 graph database according to db-engines.com, do not scale horizontally. This leaves the size of the database constrained to how much disk space and ram is...

Room: Salon ETrack: DataTags: Cloud, Big DataFormat: General SessionLevel: Intermediate

Friday

8:30 AM

Well.. that's ONNX-pected

Presented by: Ron Dagdag
Time: Friday 8:30 AM - 9:30 AM

The world of machine learning frameworks is complex. What if we can use the lightest framework for inferencing on edge devices? That’s the idea behind ONNX format. Attend this session and find out how to train models using the framework of your choice, save or convert models into ONNX, and deploy...

Room: RosewoodTrack: DataTags: .NET, Cloud, Big Data, Javascript, Other, PythonFormat: General SessionLevel: Intermediate
9:45 AM

API Design for ETL - Lessons from Nearly 100 Data Integrations in the Wild

Presented by: Dan Mosora
Time: Friday 9:45 AM - 10:45 AM

In the API Economy, users increasingly want to analyze and connect more of their business data, from small startup shops to multinational corporations. Thinking about making data available through an API? There are innumerable ways to slice the problem. How do you implement pagination? What data...

Room: Sagewood / ZebrawoodTrack: DataTags: Cloud, Big DataFormat: General SessionLevel: Intermediate
2:45 PM

What Time Is It Anyway?

Presented by: Tyler Jennings
Time: Friday 2:45 PM - 3:45 PM

Handling date and time in our applications can be a complex task with many nuances. How should we handle date time? Should we store local time zone or UTC? Should we store dates and times separately? Should we use Unix time? These are all valid questions and there isn't always a...

Room: Salon ATrack: DataFormat: General SessionLevel: Intermediate