RGG-9998 Columnar data formats enabling serverless data analysis at scale | Devoxx

Devoxx Belgium 2018
from Monday 12 November to Friday 16 November 2018.

   Columnar data formats enabling serverless data analysis at scale


Big Data & Machine Learning
Big Data & Machine Learning
Intermediate level
Room 10 Thursday from 09:30 til 10:20

Columnar data formats such as Parquet and ORC are designed to optimize both query performance and costs for analytics scenarios. On the other hand, serverless computing platforms such as AWS Lambda allow you to run highly scalable applications without provisioning or managing servers. The combination of columnar storage and serverless computing can drastically simplify many of the pain points related to big data analytics, data collection, and ETL orchestration, while at the same time reducing the total cost of ownership.

serverless computing   Big Data   analytics   column store   Python  
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Alex Casalboni
Alex Casalboni
From Amazon Web Services

Alex is a Senior Technical Evangelist at Amazon Web Services, based in Italy.

Alex is deeply passionate about web technologies and music. He has been building web products and helping other builders learn from his experience since 2011. His coding love spreads across the Python and the JavaScript communities, and he's been contributing to open-source projects such as the Serverless Framework and AWS SAM.

He co-organizes the serverless meetup in Milan, as well as ServerlessDays Milan (previously JeffConf).

In his free time, Alex loves snowboarding, jogging, traveling, and playing his saxophone.

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