Tomasz Magdanski

Director of Engineering, Asurion

Tomasz is a seasoned technology leader specializing in real world implementations of Big Data, Real-Time applications and Machine Learning technologies. He has deployed and managed production applications processing billions or transactions and servicing millions of customers. Tomasz uses cutting edge features to enable companies to gain technical advantage by using Spark Structured Streaming, Delta Lake, Spark on Databricks and MLFlow.

Past sessions

Business leads, executives, analysts, and data scientists rely on up-to-date information to make business decision, adjust to the market, meet needs of their customers or run effective supply chain operations.


Come hear how Asurion used Delta, Structured Streaming, AutoLoader and SQL Analytics to improve production data latency from day-minus-one to near real time Asurion’s technical team will share battle tested tips and tricks you only get with certain scale. Asurion data lake executes 4000+ streaming jobs and hosts over 4000 tables in production Data Lake on AWS.


In this session watch:
Tomasz Magdanski, Director of Engineering, Asurion


Asurion’s Connected Home simplifies the complexities of operation, setup, and management of connected devices and services.

Leveraging latest advancements in Machine Learning, Big Data, and Real-Time processing capabilities, we have built a platform capable of keeping the connected world connected and continually learning.

Solving this technical challenge requires running multiple continuous applications capable of transactional data storage, multi-level aggregations, joins, execution of ML models with data privacy and security at its core.

Asurion Connected Home platform achieves this goal by using Spark Structured Streaming, Delta Lake and MLflow on Databricks.

As big data technology matures, you’d think there would be more talent available to hire. Although the number of people interested and engaged in the big data world has dramatically increased, job demand is far ahead.

Companies like Google or Facebook have access to the best talent -- thousands of engineers with PhDs from the best schools, which is why they are able to innovate. How can a company close the skills gap while innovating and creating product advantage?

This talk highlights how the right technology can allow you to compete without having an army of PhDs at your disposal. At iPass, we've created an environment where our engineers can be empowered to create value without getting bogged down by big data and Ops challenges. As a result, we have been able to more easily recruit internal engineers to our big data team, leveraging their current expertise, while bringing them up to speed on big data projects much faster. Join this talk to learn how you can do the same for your organization.

Session hashtag: #EntSAIS17

Summit Europe 2016 How Apache Spark Is Helping Tame the Wild West of Wi-Fi

October 26, 2016 05:00 PM PT

Wi-Fi today is a messy, unpredictable business, with unregulated growth, lack of centralized standards and an uneven service experience, which can vary widely from hotspot to hotspot. In this talk, Tomasz will explain how iPass took Apache Spark technology from concept to production with the Databricks platform in the cloud to process and analyze their trove of Wi-Fi analytics, in an effort to give order to what he calls the “wild west of Wi-Fi.”