BDM64: Making Apache Spark™ Better with Delta Lake

Big Data Montreal would like to invite you to its 64th meeting!

LOCATION: Hopper - 5795 de Gaspé #100 (near Rosemont métro)

Join us on Tuesday Oct 8th 2019 at 6:30PM to attend a conference, as well as to network with other Big Data enthusiasts from Montreal!

All are welcome, no matter if you already have some experience with Big Data technologies or if you're simply curious to learn more.

We have 1 presentation scheduled:

• Making Apache Spark Better with Delta Lake

• Daniel Arrizza is a Customer Success Engineer at Databricks

"Apache Spark is the dominant processing framework for big data. Delta Lake adds reliability to Spark so your analytics and machine learning initiatives have ready access to quality, reliable data. This webinar covers the use of Delta Lake to enhance data reliability for Spark environments."

Databricks will generously sponsor the event by providing food and drinks to the attendees!

Please tell your friends and colleagues :) !

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Big Data Montréal vous invite à sa 64ième rencontre!

Emplacement: Hopper - 5795 de Gaspé #100 (près du métro Rosemont)

Joignez-vous à nous le mardi 8 otobre 2019 à 18h30 pour assister à une conférence, ainsi que pour réseauter avec les autres enthousiastes montréalais du Big Data!

Tous sont bienvenus, que vous ayez déjà de l'expérience avec les technologies de Big Data ou que vous soyez simplement curieux d'en apprendre plus.

Nous avons 1 présentation à l'horaire:

• Making Apache Spark Better with Delta Lake

• Daniel Arrizza is a Customer Success Engineer at Databricks

"Apache Spark is the dominant processing framework for big data. Delta Lake adds reliability to Spark so your analytics and machine learning initiatives have ready access to quality, reliable data. This webinar covers the use of Delta Lake to enhance data reliability for Spark environments."

Databricks a généreusement accepté de soutenir cette édition et fournira aux participants nourriture et boissons

Passez le mot et venez en grand nombre :) !