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pwendell

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  1. Best-in-Class Open Source Generative Models (databricks.com)
    2 points 0
  2. Announcing SparkR: R on Spark (databricks.com)
    7 points 0
  3. Managing Complexity (web.stanford.edu)
    2 points 0
  4. ML Pipelines: A New High-Level API for MLlib (databricks.com)
    2 points 0
  5. Announcing Spark 1.2 (databricks.com)
    2 points 0
  6. A Scala serialization puzzle we ran into while porting Spark to Scala 2.11 (gist.github.com)
    5 points 0
  7. Spark Summit streaming live all day (ustream.tv)
    2 points 0
  8. Sampling Twitter Using Declarative Streams (pwendell.com)
    1 points 0
  9. COS-597G: Surveillance and Countermeasures (cs.princeton.edu)
    5 points 0
  10. Free berkeley class this week on large scale machine learning (ampcamp.berkeley.edu)
    4 points 0
  11. Performance analysis of Hive, Redshift, Impala, and Shark (amplab.cs.berkeley.edu)
    2 points 0
  12. Big Data Mini-Course in Scala, Java, and Python (ampcamp.berkeley.edu)
    2 points 0
  13. Latency Numbers Every Programmer Should Know (eecs.berkeley.edu)
    232 points 86
  14. Spark 0.6 Released. Largest release ever; adds Java API. (spark-project.org)
    44 points 2
  15. Spark 0.6 Released. Largest release ever; adds Java API. (spark-project.org)
    10 points 0
  16. Avoiding Java Classpath Hell (eecs.berkeley.edu)
    1 points 0
  17. Free 2 day Berkeley "big data" class this week (ampcamp.berkeley.edu)
    95 points 14
  18. Understanding "Lock-Free" Concurrency In Java (eecs.berkeley.edu)
    2 points 0
  19. Deep Dive: Java’s Lock-Free Concurrency (eecs.berkeley.edu)
    5 points 0
  20. Common Misconceptions about Summer Internships (eecs.berkeley.edu)
    10 points 6