The Punch at Big Data Paris 2019

Big Data Paris 2019 Workshop Tuesday 12th of March, 14H00 Machine Learning for Critical Systems Damien Fontanes, Dimitri Tombroff Abstract In real-life critical systems and applications, accessing the data to test, tune and run artificial intelligence algorithms involved several under-estimated problems. The first challenge is mainly to provide consistent tools and execution engines usable for Read more about The Punch at Big Data Paris 2019[…]

Leveraging the Elastic Common Schema

Introduction The Elastic Common Schema (ECS) is a new normalized format proposed by the Elastic community. Although still in beta status, it is already usable, concrete and more importantly promising. The ECS idea is simple: benefit from a common specification to structure the data indexed in Elasticsearch. Such a data normalization makes it simple and Read more about Leveraging the Elastic Common Schema[…]

Introducing OmniSci

Before diving into leveraging OmniSci, let us quickly recap the well-known database story. Relational databases have long been the standard for storing pre-processed data. Although they cannot keep up with today’s applications requirements in terms of raw performance and volumetry, they stay by far the most popular and the most widely used databases. Their low Read more about Introducing OmniSci[…]

Punch Data Science Meetup

Punch Data Science Meetup When: on the 15th of October. Where: in Rennes at the Google atelier numérique. Organised as part of the Rennes Machine Learning Meetup /French Tech Speaker: Simon Grah from Thales Theresis Research Lab Topic: Maritime Traffic Anomaly Detection We are very happy to have Simon animate our next meetup in Rennes. Many thanks to  Camille Saumard (from lumenai), to invite Read more about Punch Data Science Meetup[…]

Introducing PML

The PunchPlatform Machine Learning (PML) sdk lets you design and run arbitrary spark applications on your platform data. Why would you do that ? Punchplatforms process large quantities of data, parsed, normalized then indexed in ElasticSeach in real time. As a result you have powerful search capabilities through Kibana dashboards. In turn, spark applications let Read more about Introducing PML[…]