The Unreasonable Effectiveness of Deep Learning on Spark

For the past three years, our smartest engineers at Databricks have been working on a stealth project. Today, we are unveiling DeepSpark, a major new milestone in Apache Spark. DeepSpark uses cutting-edge neural networks to automate the many manual processes of software development, including writing test cases, fixing bugs, implementing features according to specs, and reviewing pull requests (PRs) for their correctness, simplicity, and style. Scaling Spark’s development has been a top priority for us. Every year, Spark’s popularity reaches new highs. Over 1000 people have contributed code to Spark, making it the most actively developed open source project in big data. With this buzzing excitement around big data comes additional burdens to ensure Spark is stable, self-aware, secure, and easy to use yet able to progress as fast as…

Link to Full Article: The Unreasonable Effectiveness of Deep Learning on Spark

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