Talks for ApacheCon North America 2018

ApacheCon brings developers and technologists from around the world together to discuss the latest innovations in containers, cloud, DevOps, IoT, servers, web frameworks, and many other Apache projects and communities in a collaborative, vendor-neutral environment. We, Metatron team members, have been announcing annually on ApacheCon about open source projects.

Upcoming ApacheCon will be held September 24th through 27th, 2018 at the Montreal Marriott Chateau Champlain.

This year at ApacheCon North America, in Montreal, we are going to have talks for a Geospatial-focused track and a Stream Processing track.

The Geospatial track and the streaming track will run on Wednesday, September 26th, and will feature talks about Apache Spatial Information System, GeoAPI, Apache Druid, Apache Lucene, Apache Calcite, Apache Beam, and many other projects.

Below are the subjects for the talks.

Spatial index optimization and GIS query support on Druid using Apache Lucene

• Speakers: Jinchul Kim, Navis
• Abstract

  The importance of handling GIS data in telecommunication industry is ever increasing, especially in OSS(Operation Support System) field. We, SK Telecom which is Korea’s number-one telecommunications provider, also has confronted the same problem. To get current status in time, we have been using Druid for years with many successes but it’s missing of native handling of gis data us keep old legacy systems, which is expensive and hard to expand.
  To accommodate this, we have searched various softwares stacks and found Apache Lucene has enough capabilities in both aspects of function and performance. In this session, we will share how we have integrated two technology (Apache Druid and Apache Lucene) handling GIS data, and will provide use cases on them.

• Date: Wednesday, 26th Sep, 2018
• Time: 11:15 (50 min)
• Location: Terrasse, Montréal Marriott Chateau Champlain

Apache Druid on Kubernetes: Elastic scalable cloud-based system for real-time OLAP on high velocity data

• Speakers: Jinchul Kim, June Woo
• Abstract

  Industrial Big Data Analysis in Smart Factory requires real time processing for streaming data. SK Hynix as one of the world’s largest semiconductor factories gets the insight of the whole process as well as monitoring the factory like anomaly detection by processing the data in real time manner.
  In this session, we will introduce an elastic data processing cloud service built on Apache Kafka and Druid in Kubernetes and present how to process the huge data from the smart semiconductor manufacturer in real time based on the workload. The cloud service can automatically scale up Druid cluster and scale it back down quickly to satisfy the aforementioned requirement with no latency despite of data collection and analytic workload.

• Date: Wednesday, 26th Sep, 2018
• Time: 16:30 (50 min)
• Location: Viger B, Montréal Marriott Chateau Champlain