Keynote: Spark+Hadoop and how it relates to Scala
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Scala seems to be, suddenly, an important language within the Apache Hadoop ecosystem, with the arrival of Scala-based projects like Apache Kafka and Apache Spark -- which is in essence "distributed Scala". In fact, it's not a surprising marriage: Hadoop has been building on functional paradigms and immutability in its way for years through MapReduce/HDFS, and projects like Crunch and Cascading. This talk will give a Hadoop-centric take on the evolution of Scala, its benefits to Hadoop-related projects, why it succeeds where other languages don't in Hadoop, and some quirks that remain barriers to its further adoption in "big data".
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- What “50 Years of Data Science” leaves out (SkillsCast recorded in April 2017)
- Real-time Systems with Spark Streaming and Kafka (in London on 30th September - 1st October 2019)
- Lightbend Akka for Scala - Professional (in London on 11th - 12th November 2019)
- Scala eXchange London 2019 (in London on 12th - 13th December 2019)
- Scalax2gether Community Day 2019 (in London on 14th December 2019)
- How Open Source is Funded & Privacy Engineering for the World of Kafka (in London on 24th September 2019)
- Keynote by Zainab Ali on Abstract Data Types In The Region Of Abysmal Pain, And How To Navigate Them (in London on 30th September 2019)
- The Last Frontier and Beyond (SkillsCast recorded in August 2019)
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Thanks to our sponsors
Keynote: Spark+Hadoop and how it relates to Scala
Sean Owen
Sean is Director of Data Science at Cloudera in London. Before Cloudera, he founded Myrrix Ltd (now, the Oryx project) to commercialize large-scale real-time recommender systems on Apache Hadoop. He is an Apache Spark committer and co-authored Advanced Analytics on Spark. He was a committer and VP for Apache Mahout, and co-author of Mahout in Action. Previously, Sean was a senior engineer at Google.
Please log in to watch this conference skillscast.
Scala seems to be, suddenly, an important language within the Apache Hadoop ecosystem, with the arrival of Scala-based projects like Apache Kafka and Apache Spark -- which is in essence "distributed Scala". In fact, it's not a surprising marriage: Hadoop has been building on functional paradigms and immutability in its way for years through MapReduce/HDFS, and projects like Crunch and Cascading. This talk will give a Hadoop-centric take on the evolution of Scala, its benefits to Hadoop-related projects, why it succeeds where other languages don't in Hadoop, and some quirks that remain barriers to its further adoption in "big data".
YOU MAY ALSO LIKE:
- What “50 Years of Data Science” leaves out (SkillsCast recorded in April 2017)
- Real-time Systems with Spark Streaming and Kafka (in London on 30th September - 1st October 2019)
- Lightbend Akka for Scala - Professional (in London on 11th - 12th November 2019)
- Scala eXchange London 2019 (in London on 12th - 13th December 2019)
- Scalax2gether Community Day 2019 (in London on 14th December 2019)
- How Open Source is Funded & Privacy Engineering for the World of Kafka (in London on 24th September 2019)
- Keynote by Zainab Ali on Abstract Data Types In The Region Of Abysmal Pain, And How To Navigate Them (in London on 30th September 2019)
- The Last Frontier and Beyond (SkillsCast recorded in August 2019)
- Why API Design Matters, and Why Yours Sucks! (and mine sucks too!) (SkillsCast recorded in June 2019)
Thanks to our sponsors
Keynote: Spark+Hadoop and how it relates to Scala
Sean Owen
Sean is Director of Data Science at Cloudera in London. Before Cloudera, he founded Myrrix Ltd (now, the Oryx project) to commercialize large-scale real-time recommender systems on Apache Hadoop. He is an Apache Spark committer and co-authored Advanced Analytics on Spark. He was a committer and VP for Apache Mahout, and co-author of Mahout in Action. Previously, Sean was a senior engineer at Google.