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SAVE THE DATE FOR QCON SF 2018

Conference: Nov 5-7, 2018
Workshops: Nov 8–9, 2018

Workshop: Apache 2.x Workshop

Location:

  • Seacliff B
Level: 
Beginner

When:

  • Friday
9:00am - 12:00pm

Prerequisites

Apache Spark has become one of the must-know big data technologies due to its speed, ease of use, and flexibility. With each new version, Spark provides more powerful features to make it even easier than before to build intelligent and scalable data processing infrastructure and applications. This workshop will cover the major features in Spark 2.x and include focused and interactive hands on exercises.

Key Takeaways:

  • Understand Spark architecture and execution model
  • Learn structured data processing with Spark SQL, DataFrames and Datasets
  • Apply powerful Spark SQL functions and user defined function (UDF)
  • Perform streaming processing with Spark Structured Streaming

Speaker: Hien Luu

Engineering Manager @Linkedin focused on Big Data

Hien Luu is an engineering manager at LinkedIn and he is a big data enthusiast. He is particularly passionate about the intersection between Big Data and Artificial Intelligence. Teaching is one his passions and he is currently teaching Apache Spark course at UCSC Silicon Valley Extension school. He has given presentations at various conferences like QCon SF, QCon London, Hadoop Summit, JavaOne, ArchSummit and Lucene/Solr Revolution.

Find Hien Luu at

Speaker page

Engineering Manager at LinkedIn

Other Workshops:

Zen of Architecture
Day: Friday [Full Day]
by Juval Lowy
Using Istio to Build a Cloud Native Service Mesh
Day: Friday [Half Day]
by Zack Butcher
Using Istio to Build a Cloud Native Service Mesh
Day: Friday [Half Day]
by Ryan Knight
Test First Immersion Workshop (Java)
Day: Thursday [Full Day]
by Szczepan Faber
Tensorflow: Building Neural Machine Translation
Day: Friday [Half Day]
by Karunakar Singamreddy
Serverless Workshop
Day: Thursday [Full Day]
by David Wells

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Tracks

  • Architectures You've Always Wondered About

    Architectural practices from the world's most well-known properties, featuring startups, massive scale, evolving architectures, and software tools used by nearly all of us.

  • Going Serverless

    Learn about the state of Serverless & how to successfully leverage it! Lessons learned in the track hit on security, scalability, IoT, and offer warnings to watch out for.

  • Microservices: Patterns and Practices

    Stories of success and failure building modern Microservices, including event sourcing, reactive, decomposition, & more.

  • DevOps: You Build It, You Run It

    Pushing DevOps beyond adoption into cultural change. Hear about designing resilience, managing alerting, CI/CD lessons, & security. Features lessons from open source, Linkedin, Netflix, Financial Times, & more. 

  • The Art of Chaos Engineering

    Failure is going to happen - Are you ready? Chaos engineering is an emerging discipline - What is the state of the art?

  • The Whole Engineer

    Success as an engineer is more than writing code. Hear inward looking thoughts on inclusion, attitude, leadership, remote working, and not becoming the brilliant jerk.

  • Evolving Java

    Java continues to evolve & change. Track covers Spring 5, async, Kotlin, serverless, the 6-month cadence plans, & AI/ML use cases.

  • Security: Attacking and Defending

    Offense and defensive security evolution that application developers should know about including SGX Enclaves, effects of AI, software exploitation techniques, & crowd defense

  • The Practice & Frontiers of AI

    Learn about machine learning in practice and on the horizon. Learn about ML at Quora, Uber's Michelangelo, ML workflow with Netflix Meson and topics on Bots, Conversational interfaces, automation, and deployment practices in the space.

  • 21st Century Languages

    Compile to Native, Microservices, Machine learning... tailor-made languages solving modern challenges, featuring use cases around Go, Rust, C#, and Elm.

  • Modern CS in the Real World

    Applied trends in Computer Science that are likely to affect Software Engineers today. Topics include category theory, crypto, CRDT's, logic-based automated reasoning, and more.

  • Stream Processing In The Modern Age

    Compelling applications of stream processing using Flink, Beam, Spark, Strymon & recent advances in the field, including Custom Windowing, Stateful Streaming, SQL over Streams.  

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