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

Regional Event

Brisbane

Discover how unified analytics can bring data science and engineering together to accelerate your ML efforts. Designed especially for data teams, these complimentary workshops offers best practices tips for using Apache Spark and Databricks, as well as the latest updates on Delta Lake, MLflow, and much more. You will also hear the very latest customer use cases and meet local experts to get your most pertinent questions answered to spear-head your analytics and AI projects. Complimentary to attend, seats will not last long. Register today and secure a seat in a city near you.

Unified Data Analytics | Workshop w/ Microsoft and Insight | Hartford

Partner Event

Hartford, CT

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.

AWS | Databricks Dev Day | Boston

Regional Event

Boston, MA

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 | San Diego

Regional Event

San Diego, 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.

Big Data Breakfast: Build a Secure Government Data Lake for Scalable Analytics and AI | McLean, VA

Regional Event

McLean, VA

Join our breakfast event to learn how to overcome the challenges of building a scalable data lake in the cloud with a unified approach to data analytics powered by Databricks and popular open-source tools such as Apache SparkTM and Delta Lake. The Government was one of the first adopters of computers to automate big data. But these early investments have resulted in legacy systems, where data is isolated in silos, making federation impossible, and limiting the value of analytics.

Unified Data Analytics | Workshop w/ Microsoft and Insight | Pittsburgh

Partner Event

Pittsburgh, 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.

Simplify and Scale Data Engineering Pipelines with Delta Lake

Webinar

March 5th , 2020. 3pm Sydney / 12pm Singapore / 9.30am Mumbai
A common data engineering pipeline architecture uses tables that correspond to different quality levels, progressively adding structure to the data: data ingestion (“Bronze” tables), transformation/feature engineering (“Silver” tables), and machine learning training or prediction (“Gold” tables). Combined, we refer to these tables as a “multi-hop” architecture. It allows data engineers to build a pipeline that begins with raw data as a “single source of truth” from which everything flows. In this session, we will show how to build a scalable data engineering data pipeline using Delta Lake.

Unified Data Analytics | Workshop w/ Microsoft | Austin

Regional Event

Austin, 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.

Databricks Bootcamp | Auckland

Regional Event

Auckland, New Zealand

Take the next steps of your data and ML strategy and secure a seat at the Databricks Bootcamp in a city near you! Free to attend, these full-day workshops will provide you access to how-to-get started pro tips and best practices for Apache Spark™ and Databricks, with experts on hand to answer your most pertinent questions.

Delta Lake Hands On Lab | Chicago

Regional Event

Chicago, IL

Join this hands-on lab to learn how Delta Lake can help you build robust production data pipelines at scale. Delta Lake is an open source storage layer that brings reliability to data lakes. It has numerous reliability features including ACID transactions, scalable metadata handling, and unified streaming and batch data processing.