Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Ted Malaska

Ted Malaska
Director of Enterprise Architecture, Capital One

@TedMalaska

Ted Malaska is currently a Director of Enterprise Architecture at Capital One, before that he was the Director of Engineering at Blizzard’s Global Insight Department. Ted was also principal solutions architect at Cloudera, helping clients find success with the Hadoop ecosystem, and a lead architect at the Financial Industry Regulatory Authority (FINRA). He has also contributed code to Apache Flume, Apache Avro, Apache Yarn, Apache HDFS, Apache Spark, Apache Sqoop, and many more. Ted is a coauthor of Hadoop Application Architectures, a frequent speaker at many conferences, and a frequent blogger on data architectures.

Sessions

1:30pm–5:00pm Tuesday, 09/11/2018
Location: 1A 06/07 Level: Advanced
Secondary topics:  Data Platforms
Ted Malaska (Capital One), Jonathan Seidman (Cloudera)
Average rating: ***..
(3.12, 8 ratings)
Using Customer 360 and the internet of things as examples, Jonathan Seidman and Ted Malaska explain how to architect a modern, real-time big data platform leveraging recent advancements in the open source software world, including components like Kafka, Flink, Kudu, Spark Streaming, and Spark SQL and modern storage engines to enable new forms of data processing and analytics. Read more.
2:55pm–3:35pm Wednesday, 09/12/2018
Location: 1E 14 Level: Intermediate
Secondary topics:  Machine Learning in the enterprise, Media, Marketing, Advertising
Ted Malaska (Capital One), Jonathan Seidman (Cloudera)
Average rating: ****.
(4.00, 3 ratings)
Creating a successful big data practice in your organization presents new challenges in managing projects and teams. Ted Malaska and Jonathan Seidman share guidance and best practices to help technical leaders deliver successful projects from planning to implementation. Read more.
2:00pm–2:40pm Thursday, 09/13/2018
Location: 1A 06/07 Level: Intermediate
Secondary topics:  Transportation and Logistics
Ted Malaska (Capital One), Mark Grover (Lyft)
Many details go into building a big data system for speed, from determining a respectable latency until data access and where to store the data to solving multiregion problems—or even knowing just what data you have and where stream processing fits in. Mark Grover and Ted Malaska share challenges, best practices, and lessons learned doing big data processing and analytics at scale and at speed. Read more.