Events – Databricks
Events
Webinars | Regional Events | Partner Events | Meetups
SPARK + AI SUMMIT | SAN FRANCISCO, CA
EARLY-BIRD PRICING
$450 OFF
(Ending March 31, 2020)
previous arrow
next arrow
Slider

Filter:

AWS | Databricks Dev Day | Tel Aviv

Regional Event

Tel Aviv, IL

Join this half-day workshop to learn how Unified Data Analytics can bring Data Science, Business Analytics and engineering together to accelerate your Data and ML efforts. This free workshop will give you the opportunity to: Learn how to build highly scalable and reliable pipelines for analytics Deeper insight into Apache Spark and Databricks, including the latest updates with Delta Lake Train a model against data and learn best practices for working with ML frameworks (i.e. - TensorFlow, XGBoost, Scikit-Learn, etc.) Learn about MLflow to track experiments, share projects and deploy models in the cloud with Amazon SageMaker Network and learn from your ML and Apache Spark peers

Unified Data Analytics | Workshop w/ Microsoft | San Francisco

Regional Event

San Francisco, CA

Join this half-day workshop to learn how unified data analytics can bring data science, business analytics, and engineering together to accelerate your data and ML efforts. In this workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your data and 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.

AWS | Databricks Dev Day | Salt Lake City

Regional Event

Salt Lake City, UT

Join this half-day workshop to learn how Unified Data Analytics can bring Data Science, Business Analytics and engineering together to accelerate your Data and ML efforts. In this workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your Data and 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 Data Analytics | Workshop w/ Microsoft | Toronto

Regional Event

Toronto, ON

Join this half-day workshop to learn how unified data analytics can bring data science, business analytics, and engineering together to accelerate your data and ML efforts. In this workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your data and 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 Data Analytics Workshop | London, UK

Regional Event

London, UK

Join this half-day workshop to learn how unified data analytics can bring data science, business analytics and engineering together to accelerate your data and ML efforts. This free workshop will give you the opportunity to: Learn how to build highly scalable and reliable pipelines for analytics Deeper insight into Apache Spark and Databricks, including the latest updates with Delta Lake Train a model and learn best practices for working with ML frameworks (i.e. - XGBoost, Scikit-Learn, etc.) Learn about MLflow to track experiments, share projects and deploy models in the cloud and on-prem Network and learn from your ML and Apache Spark peers

AWS | Databricks Dev Day | Tempe

Regional Event

Tempe, AZ

Join this half-day workshop to learn how Unified Data Analytics can bring Data Science, Business Analytics and engineering together to accelerate your Data and ML efforts. In this workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your Data and 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. You’ll also learn how to use Data and ML frameworks (i.e. TensorFlow, XGBoost, Scikit-Learn, etc.) to train models based on different requirements.

AWS | Databricks Dev Day | Dallas

Regional Event

Dallas, TX

Join this half-day workshop to learn how Unified Data Analytics can bring Data Science, Business Analytics and engineering together to accelerate your Data and ML efforts. In this workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your Data and 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 Data Analytics | Workshop w/ Microsoft | Washington, D.C.

Regional Event

Washington, D.C.

Join this half-day workshop to learn how unified data analytics can bring data science, business analytics, and engineering together to accelerate your data and ML efforts. In this workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your data and 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.

AWS | Databricks Dev Day | Denver

Regional Event

Denver, CO

Join this half-day workshop to learn how Unified Data Analytics can bring Data Science, Business Analytics and engineering together to accelerate your Data and ML efforts. In this workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your Data and 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 Data Analytics Workshop for Healthcare and Life Science | NYC

Regional Event

New York, NY

Join this workshop to learn how a unified approach to data analytics can accelerate machine learning projects in the Healthcare and Life Sciences industry. In this workshop, we’ll cover best practices for using powerful open source technologies to simplify and scale your ML efforts. We’ll discuss how to leverage Apache Spark™ and Delta Lake for data preparation as it unifies data at massive scale across various sources.