| 1. | | Kudu, distributed systems, and more: a conversation with Todd Lipcon (oreilly.com) |
| 3 points by datascientist on Oct 8, 2015 | past |
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| 2. | | Specialized and hybrid data management and processing engines (oreilly.com) |
| 1 point by datascientist on Oct 3, 2015 | past |
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| 3. | | Todd Lipcon's Strata-NYC-2015 Talk on Kudu (oreilly.com) |
| 1 point by datascientist on Oct 2, 2015 | past |
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| 4. | | Bounded and unbounded data processing and analytics (oreilly.com) |
| 3 points by datascientist on Sept 24, 2015 | past |
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| 5. | | Hadoop co-founder Mike Cafarella: “the Pete Best of big data” (oreilly.com) |
| 4 points by datascientist on Sept 10, 2015 | past |
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| 6. | | Celebrating the real-time processing and analytics revival (oreilly.com) |
| 2 points by datascientist on Sept 1, 2015 | past |
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| 7. | | Bridging the divide: Business users and machine learning experts (oreilly.com) |
| 1 point by datascientist on Aug 27, 2015 | past |
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| 8. | | The (data) science of sports – a conversation with David Epstein (oreilly.com) |
| 2 points by datascientist on Aug 13, 2015 | past |
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| 9. | | The world beyond batch: Streaming 101 (oreilly.com) |
| 3 points by datascientist on Aug 5, 2015 | past |
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| 10. | | Understanding neural function and virtual reality (oreilly.com) |
| 1 point by datascientist on July 30, 2015 | past |
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| 11. | | 6 reasons why I like KeystoneML (oreilly.com) |
| 1 point by datascientist on July 16, 2015 | past |
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| 12. | | Why data preparation frameworks rely on human-in-the-loop systems (oreilly.com) |
| 11 points by datascientist on July 2, 2015 | past | 1 comment |
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| 13. | | Building self-service tools to monitor high-volume time-series data (oreilly.com) |
| 2 points by datascientist on June 18, 2015 | past |
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| 14. | | NBA (basketball) and spatio-temporal pattern recognition (oreilly.com) |
| 1 point by datascientist on June 11, 2015 | past |
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| 15. | | Patrick Wendell on the state of the Spark ecosystem (oreilly.com) |
| 8 points by datascientist on June 4, 2015 | past |
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| 16. | | Statistical and Mathematical Functions with DataFrames in Spark (databricks.com) |
| 7 points by datascientist on June 2, 2015 | past |
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| 17. | | Tuning Java Garbage Collection for Spark Applications (databricks.com) |
| 43 points by datascientist on May 28, 2015 | past | 3 comments |
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| 18. | | Data science makes an impact on Wall Street (oreilly.com) |
| 1 point by datascientist on May 21, 2015 | past |
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| 19. | | The tensor renaissance in data science (oreilly.com) |
| 85 points by datascientist on May 7, 2015 | past | 46 comments |
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| 20. | | More tools for managing and reproducing complex data projects (oreilly.com) |
| 1 point by datascientist on April 29, 2015 | past |
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| 21. | | Michael Stack on HBase past, present, and future (oreilly.com) |
| 1 point by datascientist on April 23, 2015 | past |
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| 22. | | Deep Dive into Apache Spark SQL’s Catalyst Optimizer (databricks.com) |
| 21 points by datascientist on April 13, 2015 | past |
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| 23. | | Building big data systems in academia and industry (oreilly.com) |
| 3 points by datascientist on April 9, 2015 | past |
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| 24. | | A real-time processing and analytics revival (oreilly.com) |
| 9 points by datascientist on April 2, 2015 | past |
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| 25. | | Let’s build open source tensor libraries for data science (oreilly.com) |
| 2 points by datascientist on March 17, 2015 | past |
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| 26. | | Turning Ph.D.s into industrial data scientists and data engineers (oreilly.com) |
| 2 points by datascientist on March 12, 2015 | past |
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| 27. | | David Blei on Topic Models (past, present, future) (oreilly.com) |
| 4 points by datascientist on Feb 26, 2015 | past | 1 comment |
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| 28. | | Recent performance improvements in Apache Spark (oreilly.com) |
| 2 points by datascientist on Feb 18, 2015 | past |
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| 29. | | Forecasting events, from disease outbreaks to sales to cancer research (oreilly.com) |
| 1 point by datascientist on Feb 12, 2015 | past |
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| 30. | | A tale of two clusters: Mesos and YARN (oreilly.com) |
| 15 points by datascientist on Feb 12, 2015 | past | 2 comments |
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| More |
