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Apache Spark Lessons Learned Part 2
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Big Data consultant and Spark contributor Madhu Siddalingaiah will present his experiences using and developing Spark including demonstrating real-life examples.
Specifically, Madhu will discuss:
* Why and how Spark achieves high performance
* The kinds of problems best suited for Spark
* Which language to choose for development
* How to quickly develop an effective proof of concept
* Potential risks and mitigation strategies
Bio: Madhu Siddalingaiah is a technology consultant with 25 years experience in a variety business domains such as aerospace, health care, financial, energy, defense, and scientific research. More recently, Madhu has delivered several high profile big data systems and solutions. Madhu is also co-author of Pro Apache Hadoop published by Apress. Madhu earned his physics degree from the University of MD. Outside of work, Madhu is a private helicopter pilot, enjoys travel and a constantly growing list of hobbies.
Specifically, Madhu will discuss:
* Why and how Spark achieves high performance
* The kinds of problems best suited for Spark
* Which language to choose for development
* How to quickly develop an effective proof of concept
* Potential risks and mitigation strategies
Bio: Madhu Siddalingaiah is a technology consultant with 25 years experience in a variety business domains such as aerospace, health care, financial, energy, defense, and scientific research. More recently, Madhu has delivered several high profile big data systems and solutions. Madhu is also co-author of Pro Apache Hadoop published by Apress. Madhu earned his physics degree from the University of MD. Outside of work, Madhu is a private helicopter pilot, enjoys travel and a constantly growing list of hobbies.