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.
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.
In this free workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your data and ML efforts. Learn how to build highly scalable and reliable pipelines for analytics. Train a model against data and learn best practices for working with ML frameworks (i.e. - TensorFlow, XGBoost, Scikit-Learn, etc.). And, track experiments, share projects and deploy models in the cloud and on-prem with MLflow. For data engineers, data scientists, business analysts, and developers who are on their journey to scale data and ML efforts in their organizations.
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.
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!
In this webinar, Databricks & Elastacloud will share best practices and hands-on labs that will demonstrate how you can use the powerful open source technology MLflow to simplify the management of your ML efforts. Register now and learn how unified data analytics can bring data science, business analytics, and engineering together to accelerate your data and ML efforts.
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.
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.
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.
Australian based partner, Intellify, is hosting an informative session for Insurance companies seeking to accelerate their data-driven innovation. The session will demonstrate how to leverage Databricks Unified Data Analytics platform to streamline claims processing, improve underwriting outcomes and the overall customer experience through automation, with the scalable outcomes that can be achieved with AI and Machine learning.