Fueling innovative software
July 15-18, 2019
Portland, OR

Data Driven sessions

First, we need to know how to deal with massive amounts of data. Then we have to put it to use with techniques like streaming and edge computing to create fast, reactive, resilient applications for all types of customers.

Add to your personal schedule
1:30pm5:00pm Monday, July 15, 2019
Blockchain beyond Cryptocurrencies
Location: Portland 255
Jamiel Sheikh (Chainhaus)
Build an Ethereum dapp using Solidity Read more.
Add to your personal schedule
9:00am12:30pm Tuesday, July 16, 2019
Building Data-Intensive Applications
Location: Portland 252
Tim Berglund (Confluent)
A hands-on workshop in which we will produce and consume to a Kafka topic, integrate Kafka with a database using Kafka Connect, and perform real-time stream processing on Kafka data. Read more.
Add to your personal schedule
11:00am11:40am Wednesday, July 17, 2019
Building Data-Intensive Applications
Location: D138/139/140
Grishma Jena (IBM)
This talk introduces Data Science and explains the Data Science pipeline and algorithms using real-life examples. Read more.
Add to your personal schedule
11:50am12:30pm Wednesday, July 17, 2019
Brian Behlendorf (Hyperledger)
Now that blockchain is established as a valid technology to be used across enterprise applications, we’ll discuss what we see as the next stage of maturation for the tech - professionalization. Brian will explore things like creating standards, certifications and training options for developers, blockchain as a service solutions and avoiding vendor lock in. Read more.
Add to your personal schedule
11:50am12:30pm Wednesday, July 17, 2019
Building Data-Intensive Applications
Location: D138/139/140
Michael Enescu (Project EAN), Peter Enescu (UCSD)
Energy adaptive networks technology built on Open Source and used to monitor and control power grids forms a planetary skin which can be used to predict and avoid such disasters as the Napa and Paradise Fires. Read more.
Add to your personal schedule
1:45pm2:25pm Wednesday, July 17, 2019
Building Data-Intensive Applications
Location: D138/139/140
Christophe Pettus (PostgreSQL Experts, Inc.)
Successful data modeling for human beings and their relationships. Read more.
Add to your personal schedule
1:45pm2:25pm Wednesday, July 17, 2019
Jim Jagielski (ConsenSys / Apache Software Foundation)
Revolutionary technology can only truly succeed when paired with healthy and viable Open Source projects and communities; no where is this more critical than in Blockchain and Ethereum. Read more.
Add to your personal schedule
2:35pm3:15pm Wednesday, July 17, 2019
Herman Smith (ixo)
Count what matters and value what counts, using new Web 3.0 protocols and the ixo blockchain. Read more.
Add to your personal schedule
2:35pm3:15pm Wednesday, July 17, 2019
Building Data-Intensive Applications
Location: D138/139/140
Bas Geerdink (ING)
In this talk, I'll present an open source reference solution for streaming analytics that covers many use cases that follows a 'pipes and filters' pattern, built with Scala, Flink, Kafka, and Cassandra. Read more.
Add to your personal schedule
4:15pm4:55pm Wednesday, July 17, 2019
Building Data-Intensive Applications
Location: D138/139/140
Wenbo Zhu (Google)
This talk presents the challenges to expose a real-time streaming API designed for data center clients to Internet clients and the trade-offs API developers need be aware of when designing such an API. Read more.
Add to your personal schedule
4:15pm4:55pm Wednesday, July 17, 2019
Erin Vincent (Erin Vincent)
Using the 2018 outbreaks of E. coli in romaine lettuce as a case study, this talk discusses what blockchain technology is, how it works, and compares types of blockchains and their use cases. Read more.
Add to your personal schedule
5:05pm5:45pm Wednesday, July 17, 2019
We will cover the basics of the Hyperledger Fabric platform by building a simple blockchain application and analyzing the main components required to run a blockchain network. Read more.
Add to your personal schedule
5:05pm5:45pm Wednesday, July 17, 2019
Building Data-Intensive Applications
Location: D138/139/140
Shradha Ambekar (Intuit)
Data Analysis at scale with fast query response is critical for business needs.Cassandra is a popular datastore used in streaming applications.Cassandra with Spark integration allows running analytical workload but can be slow.Shradha will describe similar challenges faced at Intuit and solutions her team implemented to improve performance by 100X.She also contributed to spark-cassandra-connector. Read more.
Add to your personal schedule
11:00am11:40am Thursday, July 18, 2019
Building Data-Intensive Applications
Location: D138/139/140
Amy Hodler (Neo4j), Mark Needham (Neo4j)
A crash course in how you can use graph algorithms as part of your big data toolkit. Read more.
Add to your personal schedule
11:50am12:30pm Thursday, July 18, 2019
Building Data-Intensive Applications
Location: D138/139/140
Matt and Celina discuss the challenges of automating stateful systems at scale, and how embracing a declarative approach can ease operation and automation these systems on orchestrators such as Kubernetes. They demonstrate how this methodology can be applied to different types of stateful workloads. Read more.
Add to your personal schedule
1:45pm2:25pm Thursday, July 18, 2019
Building Data-Intensive Applications
Location: D138/139/140
Jiaqi Liu (Button)
This talk covers how to factor in monitoring, alerting and tracing data lineage when building data applications that move and transform data across multiple dependencies. Read more.
Add to your personal schedule
2:35pm3:15pm Thursday, July 18, 2019
Building Data-Intensive Applications
Location: D138/139/140
Alex Silva (Pluralsight)
Alex Silva shares lessons learned, common pitfalls and design traps when designing your streaming data infrastructure with 21 best practices and standards used at Pluralsight. Read more.
Add to your personal schedule
4:15pm4:55pm Thursday, July 18, 2019
Building Data-Intensive Applications
Location: D138/139/140
Vicențiu Ciorbaru (MariaDB Foundation)
Find out how a modern database query optimizer works to optimize your queries and how you can help it work for you. Read more.