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Day 1 • Tuesday, October 25 • Spark Training

07:00

Registration

09:00
12:00

Lunch

13:00
18:00

 

Day 2 • Wednesday, October 26 • Developer Day

07:00

Registration

09:00

Simplifying Big Data Applications with Apache Spark 2.0

Apache Spark 2.0 was released this summer and is already being widely adopted. I’ll talk about how changes in the API have made it easier to write batch, streaming and realtime applications. The Dataset API,… Read more
09:40
10:05
10:30

Break

11:00
11:35
12:10
12:40

Lunch

13:45
14:20
14:55
15:30

Break

16:05
16:40
Spark Experience and Use Cases

On-Premise Spark-as-a-Service for Swedish Researchers

Developer

Mastering Spark Unit Testing

Spark Ecosystem

Get Rid of Traditional ETL, Move to Spark!

17:15
Spark Experience and Use Cases

Hive to Spark—Journey and Lessons Learned

Spark Ecosystem

Glint: An Asynchronous Parameter Server for Spark

Spark Ecosystem

Accelerating Spark Machine Learning with Redis Modules

17:45

Attendee Reception

 

Day 3 • Thursday, October 27 • Enterprise Day

08:00

Registration

09:00
09:30

Extreme-scale Ad-Tech using Spark and Databricks at MediaMath

MediaMath is a leading ad-tech platform that responds to over 200 billion ad-opportunities daily, and leverages massive amounts of data to power smarter digital marketing. They use Spark heavily both in production and R&D to… Read more
09:50

The Spark (R)evolution in The Netherlands

Over the last year, we introduced Spark at several of our Dutch clients, including an airliner, media corporation and global online retailer. In this talk, we detail how we made a compelling case for Spark… Read more
10:00

From Machine Learning to Learning Machines: Creating an End-to-End Cognitive Process with Apache Spark™

Many people think of machine learning as something that begins with data and ends with a model. But machine learning in practice is actually a continuous process that begins with an application and never ends.… Read more
10:10

How Apache Spark Is Helping Tame the Wild West of Wi-Fi

Wi-Fi today is a messy, unpredictable business, with unregulated growth, lack of centralized standards and an uneven service experience, which can vary widely from hotspot to hotspot. In this talk, Tomasz will explain how iPass… Read more
10:20

The Potential of GPU-driven High Performance Data Analytics in Spark

High Performance Data Analytics (HPDA) is an emerging market being driven by the convergence of big data with HPC. Catalyzing this emergence are the spectacular recent successes of AI (machine learning and especially deep learning)… Read more
10:30

Break

11:00
11:35
12:10
Developer

Just Enough Scala for Spark

Spark Experience and Use Cases

Apache Spark at Scale: A 60 TB+ Production Use Case

Enterprise

Paddling Up the Stream

12:40

Lunch

13:45
14:20
14:55
15:30

Break

16:05
16:40
Spark Ecosystem

Spark Cluster with Elasticsearch Inside

Developer

No One Puts Spark in the Container

Spark Experience and Use Cases

Productizing a Spark and Cassandra Based Solution in Telecom

17:15