QCON NEW YORK 2016

Conference: Jun 13-15, 2016
Tutorials: Jun 16-17, 2016

Track: Sponsored Solutions Track III

Location:

  • Roebling / Gleason

Day of week:

  • Friday

Industry practitioners and technical product managers from leading vendors demonstrate solutions to some of today's toughest software development challenges in the areas of performance monitoring, Big Data, software delivery, scalability, and more.

9:00am - 9:50am

by Matthew Brender
Senior Developer Advocate, Basho
Designing for Distributed, Unstructured Data: Availability vs. Analytics in NoSQL

We will explore what factors affect when and where you include database technology and how to prioritize the choice in core architectural underpinnings present in NoSQL designs. We will also explore what these technologies solve and how to align them with your application’s objectives for data insights. You’ll leave this session with an understanding of the principles separating NoSQL databases, frameworks like Hadoop, and projects like Apache Spark and Kafka.

10:15am - 11:05am

by Jurgis Orups
Co-founder & CTO at Clusterpoint
How Cloud Database Enables Efficient Real-Time Analytics

This talk outlines how cloud computing infrastructure can fundamentally change the performance of database workloads such as real-time analytics. Conventionally, cloud computing has been viewed as "renting hardware" instead of owning it. However, cloud infrastructure can do much more, allowing you to scale massively with effective workload scheduling algorithms.

The talk will also touch on ACID-compliant transactions, which has for many years been a challenging topic for NoSQL because...

11:30am - 12:20pm

by Matt Schuetze
Product Manager, Azul Systems
How NOT to Measure Latency

Understanding application responsiveness and latency is critical not only for delivering good application behavior but also for maintaining profitability and containing risk. But when measurements present false or misleading information, even the best analysis can lead to wrong operational decisions and poor application experience. This presentation discusses common pitfalls encountered in measuring and characterizing latency, and ways to address them using some recently open sourced tools...

1:30pm - 2:20pm

by Matthew Williams
DevOps Evangelist @ Datadog
Using Luigi to build data pipelines that won’t wake you at 3am

Datadog collects hundreds of billions of data points from our customers’ infrastructure every single day. In addition to our realtime systems, we run a significant number of offline batch jobs to crunch this data. These algorithms yield complicated graphs of jobs and dependencies running across multiple distributed systems.

In this environment, failures can and do happen, often in the middle of the night. To prevent (most) failures from waking up humans, Datadog uses Luigi, a...

2:40pm - 3:30pm

by Nikita Ivanov
Co-founder and CTO, Gridgain
Beyond the Data Grid: Fast Data Processing with Apache Ignite (incubating)

In this presentation, Nikita will describe the strategy and architecture behind Apache Ignite(TM) (incubating), a high-performance, distributed in-memory data management software layer that has been designed to operate between both new and existing data sources and applications, boosting application performance and scale by orders of magnitude. We will dive into the technical details of distributed clusters and compute grids as well as distributed data grids, and provide code samples for...

Host: Nitin Bharti Managing Editor and Product Manager, QCon and InfoQ

Tracks

Wednesday Jun 10

Thursday Jun 11

Friday Jun 12

Schedule

Conference for Professional Software Developers

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