Running Spark on Mesos & Using Big Data Science for Risk Management

Hello wonderful big data developers and enthusiasts.

We are excited to announce our next event that will take place on Tuesday, 27 November at 7pm. Our venue is once again the ground floor of The Cube Athens.

Our speakers for the evening will be Christos Sidiropoulos ( from Encode and Stelios Lelis ( from Channel VAS.

In the first talk Christos will walk us through the process of running Spark on Mesos, whereas in the second talk Stelios will share with us the key role and business value of big data science on the field of risk management.

Looking forward to seeing you there!

Adrianos | Euangelos | Stavros


1st Talk:
Running Spark on Mesos

In this talk, we will go through setting up a Mesos cluster for scheduling spark jobs. We will use DC/OS, the Distributed Cloud Operating System, to set up our cluster and start executing jobs. We will cover cloud and on premises deployment options. We will see how we can scale our cluster and considerations specific to running and configuring spark jobs. We will also check the monitoring and logging provided. Some of the tools we are going to use: Terraform, Ansible, Cloudformation, Prometheus, Grafana, Docker.

2nd Talk:
Risk Managing Half a Billion People: Putting Big Data Science in Action for Business Value

Big Data Science lies at the core of many recent successful business ventures. Putting Big Data technologies together with effective Data Science to support core business functions is essential for such a success. In this talk we describe our experience, data flow, architecture, technological and algorithmic solutions of applying Big Data Science for risk managing half a billion people.


Christos Sidiropoulos is a Lead Devops Engineer at Encode (, where he is responsible for automating and optimizing the software delivery pipeline of Encode’s products. He has a strong background in *nix system administration and information security and likes to “keep things simple”. He holds an M.Sc. in “Advanced Informatics and Computing Systems” from University of Piraeus.

Stelios Lelis is a seasoned manager in credit risk, data, algorithms, AI, machine learning and business optimization fields. He has more than 15 years experience in building and guiding the development of result driven algorithms, models, and machine learning solutions in various application fields (e.g. online marketing, mobile content optimization, credit risk). Several of these have been incorporated or lie at the core of innovative products and services. He is currently leading Credit Risk, Big Data and Data Science at Channel VAS ( He is responsible for the development of innovative credit risk models for nano- and micro-finance, and the risk management of more than 300 million active users and more than $2 billion USD in loans granted annually. Stelios holds a PhD in Informatics from the University of Manchester, an MSc in Computer Science and a BSc in Mathematics from the University of Crete.


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7:00 – Socialize
7:25 – Welcome
7:30 – 1st Talk
8:15 – 2nd Talk
9:00 – Drinks & Pizzas

We are always looking for speakers for our meetups. If you would like to give a talk please drop us a line!