- Elasticsearch for Hadoop
- Vishal Shukla
- 195字
- 2021-07-09 21:34:27
About the Reviewers
Vincent Behar is a passionate software developer. He has worked on a search engine, indexing 16 billion web pages. In this big data environment, the tools he used were Hadoop, MapReduce, and Cascading. Vincent has also worked with Elasticsearch in a large multitenant setup, with both ELK stack and specific indexing/searching requirements. Therefore, bringing these two technologies together, along with new frameworks such as Spark, was the next natural step.
Elias Abou Haydar is a data scientist at iGraal in Paris, France. He obtained an MSc in computer science, specializing in distributed systems and algorithms, from the University of Paris Denis Diderot. He was a research intern at LIAFA, CNRS, working on distributed graph algorithms in image segmentation applications. He discovered Elasticsearch during his end-of-course internship and has been passionate about it ever since.
Yi Wang is currently a lead software engineer at Trendalytics, a data analytics start-up. He is responsible for specifying, designing, and implementing data collection, visualization, and analysis pipelines. He holds a master's degree in computer science from Columbia University and a master's degree in physics from Peking University, with a mixed academic background in math, chemistry, and biology.
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