Events - Databricks

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23rd Annual Merck Technology Symposium

Conference

Long Branch, NJ

This year’s 23rd Annual Merck Technology Symposium provides a networking forum for nearly 1000 Merck scientists, with talks and posters, supplemented by a supplier trade show with over 70 exhibitors. The meeting will be organized around several tracks illustrating the various ways that technologies are facilitating scientific decision-making at Merck.

MLOps NYC Machine Learning NYC

Conference

New York, NY

The MLOps NYC conference focuses on managing and automating machine learning pipelines, to bring data science into real business applications. Ben Wilson, Databricks Senior Resident Solutions Architect will be speaking at the event presenting on "Accelerating Machine Learning with MLflow." Additionally, Databricks Director of Product Management, Machine Learning and Data Science will be on a Panel discussing Kubeflow, MLflow and the Battle of Open Source MLOps.

AWS + Dev Day Workshop | Houston

Regional Event

Houston, TX

Join this half-day workshop to learn how unified analytics can bring data science and engineering together to accelerate your ML efforts. In this workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your ML efforts. We’ll discuss how to leverage Apache Spark™, the de-facto data processing and analytics engine in enterprises today, for data preparation as it unifies data at massive scale across various sources.

Databricks Meet-up

Meetup

Lisbon, Portugal

The agenda is the following:
18:30 - Presentation of Lisbon Databricks Meetup - Board
18:45 - Daniella Giubilato (Lead Data Science and Engineering) @ Credito Agricola (DID) - "TBA"
19:30 - Break
19:45 - Vincent Jolivet - (Solutions Architect) @ Databricks - "TBA"
20:30 - Food & drinks

Unified Analytics | Workshop w/ Microsoft | Reston, VA

Partner Event

Reston, VA

Join BlueGranite, Microsoft, and Databricks for a 1-day immersive experience into Azure Databricks. This free, all-day session will provide attendees with a strong understanding of the Azure Databricks platform and hands-on experience in a live notebook environment.

AWS Dev Day Workshop | San Diego

Regional Event

San Diego, CA

Join this half-day workshop to learn how unified analytics can bring data science and engineering together to accelerate your ML efforts. In this workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your ML efforts. We’ll discuss how to leverage Apache Spark™, the de-facto data processing and analytics engine in enterprises today, for data preparation as it unifies data at massive scale across various sources.

Databricks Presents: Diveristy & Inclusion in the Workplace

Community Event

Europe

We invite you to join Databricks & our guest panelists for an evening of inspirational talks on the importance to diversity and inclusion in todays workplace. Speakers include:Laura Da Silva: Customer Facing Data Scientist at DataRobot, Founder of Inspiring Women in Data Science, Microsoft MVP in AI, Kate Rosenshine: Head of Azure Cloud Solution Architecture at Microsoft, Belén Ripoll: Global Talent Acquisition at Cloudreach, Founder of Tech Women London, Fatos Ismali: Data Solutions architect at Microsoft, Founder of Data Science InitiativeGary Chambers: Talent Acquisition Manager at Databricks The evening will end with food, drink & networking.

Open Source Reliability for Data Lakes w/ Apache Spark by Michael Armbrust

Community Event

Seattle, WA

Presenter: Michael Armbrust Session: Open Source Reliability for Data Lakes w/ Apache Spark Delta Lake is an open-source storage layer that brings reliability to data lakes. Delta Lake offers ACID transactions, scalable metadata handling, and unifies streaming and batch data processing. It runs on top of your existing data lake and is fully compatible with Apache Spark APIs.

AWS + Dev Day Workshop | Nashville

Regional Event

Nashville, TN

Join this half-day workshop to learn how unified analytics can bring data science and engineering together to accelerate your ML efforts. In this workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your ML efforts. We’ll discuss how to leverage Apache Spark™, the de-facto data processing and analytics engine in enterprises today, for data preparation as it unifies data at massive scale across various sources.

Deep Learning Fundamental Series: Training your Neural Network

Webinar

Discuss how to effectively train your neural network by reviewing the principles behind activation and loss functions, batch sizes, data normalization, and validation datasets.