Presented By O'Reilly and Cloudera
December 5-6, 2016: Training
December 6–8, 2016: Tutorials & Conference
Ted Malaska

Ted Malaska
Director, Enterprise Architecture, Capital One


Ted Malaska is a director of enterprise architecture at Capital One. Previously, he was the director of engineering in the Global Insight Department at Blizzard; 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 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.


9:00am–12:30pm Tuesday, December 6, 2016
Hadoop use cases
Location: 310/311 Level: Intermediate
Mark Grover (Lyft), Ted Malaska (Capital One), Jonathan Seidman (Cloudera)
Average rating: ****.
(4.75, 4 ratings)
Mark Grover, Ted Malaska, and Jonathan Seidman explain how to architect a modern, real-time big data platform leveraging recent advancements in the open source software world and discuss how to use components like Kafka, Impala, Kudu, Spark Streaming, and Spark SQL with Hadoop to enable new forms of data processing and analytics. Read more.
11:15am–11:55am Wednesday, December 7, 2016
Spark & beyond
Location: Summit 2 Level: Intermediate
Ted Malaska (Capital One), Mark Grover (Lyft)
Average rating: ****.
(4.12, 8 ratings)
Ted Malaska and Mark Grover cover the top five things that prevent Spark developers from getting the most out of their Spark clusters. When these issues are addressed, it is not uncommon to see the same job running 10x or 100x faster with the same clusters and the same data, using just a different approach. Read more.
2:35pm–3:15pm Wednesday, December 7, 2016
Ask Me Anything
Location: 310/311
Mark Grover (Lyft), Jonathan Seidman (Cloudera), Ted Malaska (Capital One)
Mark Grover, Jonathan Seidman, and Ted Malaska, the authors of Hadoop Application Architectures, participate in an open Q&A session on considerations and recommendations for the architecture and design of applications using Hadoop. Come with questions about your use case and its big data architecture or just listen in on the conversation. Read more.
4:15pm–4:55pm Wednesday, December 7, 2016
Hadoop use cases
Location: 321/322 Level: Intermediate
Ted Malaska (Capital One)
Average rating: *****
(5.00, 2 ratings)
If your design only focuses on the processing layer to get speed and power, you may be leaving a significant amount of optimization untapped. Ted Malaska describes a set of storage design patterns and schemas implemented on HBase, Kudu, Kafka, SolR, HDFS, and S3 that, by carefully tailoring how data is stored, can reduce processing and access times by two to three orders of magnitude. Read more.