Training Hadoop & Spark ( with hands on session) – in the limit of 40 seats

June 12, 13:00 – 17:00, TechHub Bucharest – Tudor Lapusan & Andrei Avramescu

Registration Closed

Bucharest Big Data Meetup –  Open Entry @ TechHub Bucharest

Meetup Registration

• 17:00 – 17:30 Welcome
• 17:30 – 18:10 Machine Learning: From (Big) Data to (Big) Decisions, Marius Fersigan
• 18:10 – 18:50 Neural Networks in Machine Learning, Alexandru Sisu
• 18:50 – 19:00 Break
• 19:00 – 20:00 Analyzing logs with Elasticsearch, Radu Gheorghe
• 20:00 – 20:40 In-memory data pipeline and warehouse at scale using Spark, Spark SQL, Tachyon & Parquet, Ema Orhian, Radu Chilom
• 20:40 – 21:30 Food & Socializing

Presenters short intro:

Tudor Lapusan – Cluj Big Data Meetup Organizer

I’m passionate about Big Data technologies, especially Apache Hadoop.

Alexandru Sisu – Timisoara Big Data Meetup Organizer

Big data engineer working at Atigeo. Interested in machine learning and neural networks, and currently researching optimization techniques in training deep neural networks.

Radu Gheorghe

Radu is working for Sematext Group mainly as consultant and trainer on Elasticsearch. He is also the author of the book “Elasticsearch in Action”

Marius Fersigan

Machine Learning aficionado (focus on genetic programming), dreaming of an artificial intelligence system that will speed up the scientific research process. In the last years I have been involved in artificial intelligence R&D for electronic trading. Currently I am involved in cancer genomics research (together with SAIA – Solutions of Artificial Intelligence Applications).

Andrei Avramescu

Software Engineer interested of big data field and related development of highly scalable algorithms.

Ema Orhian

Senior software engineer at Atigeo and main commiter on github on a highly scalable and resilient restful (http) interface on top of a managed Spark SQL/Shark session (https://github.com/Atigeo/jaws-spark-sql-rest). Enthusiastic engineer, interested in scaling algorithms and implementing statistical models.

Radu Chilom

Big data engineer at Atigeo, working on scalable applications in order to make big data matter. As a developer, I love to work with new technologies, learning new things on a daily basis. Contributed in ambitious open source projects, main commiter on spark-job-rest https://github.com/Atigeo/spark-job-rest .