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How to migrate from legacy SAS™ platforms for data and AI initiatives

Partner Event

Virtual Event

This webinar is for Healthcare leaders focused on Cloud Migration. We’ll discuss how methodology, combined with data science expertise in Healthcare, reduces the overall cost of conversion and optimization, and enables healthcare companies to rapidly reduce their on-premises SAS™ footprint.

AWS | Databricks ML Dev Day Virtual Workshop – joined by Freeletics

Regional Event

Virtual Workshop

Unifying Data Pipelines and Machine Learning with Apache Spark™ and Amazon SageMaker - Join this virtual workshop to learn how Unified Data Analytics can bring Data Science, Business Analytics and engineering together to accelerate your Data and ML efforts.

Databricks and Thorogood Co-Present: Rapid Market Data Analytics in a COVID-19 World

Partner Event

Virtual Event

In this joint-webcast, Thorogood Consultants Deb Lee and Ben Dunmire alongside Databrick’s Global Retail and CPG Industry Leader, Rob Saker, will share thoughts on effectively integrating internal and external data sources to understand trends in these circumstances; they will demo techniques, share outputs and discuss the value of getting this analysis right, and quickly.

The Dawn of Lakehouse Part II: Leveraging Delta Lake for High-Performance SQL and Analytics

Webinar

Virtual Event

You’re invited to a 2-part virtual event where you’ll learn what’s driving the Lakehouse pattern and how Delta Lake makes it possible with a new open standard for data reliability, quality and performance.

Delta Lake and MLflow

Meetup

Virtual Event

In this talk, we will show how MLflow can be used to track model parameters and metrics from experiments, package the model to reproduce the runs and finally put the model in a general format for deployment by building a custom model combining multiple frameworks.

Azure Databricks Office Hours

Webinar

Meet our team of Data and AI experts from Microsoft Azure and Databricks who shape and impact Fortune 500 companies every day. This session focuses on helping you get the best out of your data. Come with your questions and our experts will offer their insights and solutions to set you up for success.

Using SQL to Query Your Data Lake with Delta Lake

Webinar

3.00pm Sydney / 1.00pm Singapore / 10.30am Mumbai

Join this webinar as we share how you can easily query your data lake using SQL and Delta Lake with Databricks. We’ll show how Delta Lake enables you to execute SQL queries on both your streaming and batch data without moving or copying your data. We will also explain some of the added benefits that Databricks provides when working with Delta Lake. The right combination of services, integrated for optimal performance, makes all the difference!

Tableau Conference

Conference

Virtual Event

Tableau Conference 2020 will be free and virtual. This interactive, broadcast-style event includes a mix of structured, 30-minute "episodes” and after-hours, on-demand, one-hour “sessions” for round-the-clock fun, learning, and inspiration.

Unified Data Analytics Virtual Bootcamp | Azure Databricks Edition

Live Demo

Streaming from Sydney, Australia

Gain access to a fast, easy and collaborative Apache® Spark™ based analytics platform optimized for Azure. Join this immersive 2-hour session on 8 October as we dive deep into technical discussions and demonstrations by local Azure Databricks experts.

Unified Data Analytics Workshop with Microsoft (East)

Regional Event

Virtual Event

In this virtual 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 learn how to use ML frameworks (i.e. TensorFlow, XGBoost, Scikit-Learn, etc.) to train models based on different requirements. And finally, you can learn how to use MLflow to track experiment runs between multiple users within a reproducible environment, and manage the deployment of models to production.