~/talk

Myths about Spark, or Can an Ordinary Java Developer Use Spark?

TalkinRussianat Joker 2016 · 2016-10-14..10-15· [data-engineering, java]
links:none on file
slides:none on file

Presentation introduces Apache Spark for Java developers, explaining how Spark works, what tasks it can handle (batch, streaming, integrating with various databases) and how to use its functional programming APIs instead of scripts or SQL. The talk covers common beginner problems and solutions, Spark syntax and tips, with extensive live coding so attendees can start using Spark themselves.

AI-written summary · about

  1. 0:00Spark myths introduction
  2. 1:25Conceptual myths
  3. 3:52Spark vs Hadoop and locality
  4. 8:03Spark history and versions
  5. 13:59RDD basics and API
  6. 20:40RDD performance issues
  7. 24:09Java vs Scala for Spark
  8. 27:18Scala advantages in Spark
  9. 30:51Java API demo
  10. 41:27Broadcast variables
  11. 47:03Spark and Spring
  12. 51:59DataFrames basics
  13. 57:19DataFrames from unstructured data
  14. 59:03Custom functions in Spark
  15. 1:01:09Pop music analysis
  16. 1:05:29Conclusion and Q&A
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