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Unified Analytics | Workshop w/ Microsoft | Montreal

Regional Event

Montreal, Canada

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.

Unified Analytics | Workshop w/ Microsoft | Philadelphia

Regional Event

Malvern, PA

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.

Unifying Data Pipelines and Machine Learning with Apache Spark™

Regional Event

Montreal, Canada

Every enterprise today wants to accelerate innovation by building AI into their business. However, most companies struggle with preparing large datasets for analytics, managing the proliferation of ML frameworks, and moving models in development to production.

LoyaltyOne Simplifies and Scales Data & Analytics Pipelines with Delta Lake

Webinar

Learn how LoyaltyOne—a loyalty marketing services provider—used open-source Delta Lake on Databricks and Amazon Web Services (AWS) to create automated data pipelines that feed thousands of ML and analytics models, accelerating and enhancing customer churn and recommendation engines. LoyaltyOne is also scaling their analytics by using AutoML on Databricks, accommodating developers with a range of experience.

Simplifying Production Machine Learning with MLflow

Community Event

Toronto, ON

Building and deploying a machine learning model can be difficult to do once. Enabling other engineers (or yourself, one month later) to reproduce your pipeline, to compare the results of different versions, to track what’s running where, and to redeploy and rollback updated models is much harder. In this talk, Matei Zaharia, the Co-founder and Chief Technologist from Databricks, will introduce MLflow, a new open-source project launched by Databricks that simplifies the machine learning lifecycle.

AWS Dev Day | Melbourne

Regional Event

Melbourne, Australia

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.

Unified Analytics | Workshop w/ Microsoft | Chicago

Regional Event

Chicago, IL

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.

TensorFlow World

Conference

Santa Clara, CA

Since being open sourced in 2015, TensorFlow has had a significant impact on many industries. With TensorFlow 2.0's eager execution, intuitive high-level APIs, and flexible model building on any platform, it's cementing its place as the production-ready, end-to-end platform driving the machine learning revolution. At TensorFlow World you'll see TensorFlow 2.0 in action, discover new ways to use it, and learn how to successfully implement it in your enterprise.

International Mining and Resources Conference

Conference

Melbourne, Australia

Join us at imarc in Melboorne at the Microcost stand and learn how unified analytics can bring data science and engineering together to accelerate your ML efforts; including best practices for enterprises to use powerful open source technologies to simplify and scale your ML effort, as well as how to leverage Apache Spark™, the de-facto data processing and analytics engine in enterprises.

Unified Analytics | Workshop w/ Microsoft | Boston

Regional Event

Burlington, MA

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.