DATA + AI SUMMIT | EUROPE
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AWS | Databricks Cloud Data Lake Dev Day

Regional Event

Virtual Event

In this virtual workshop, we’ll cover best practices for organizations to use powerful open source technologies to build and extend your AWS investments to make your data lake analytics-ready. You’ll learn about the advantages of cloud-based data lakes in terms of security and cost. And finally, you’ll learn how data professionals are having a huge impact - lowering costs, changing time to market, and even revolutionizing industries.

Re-inventing the Telco Consumer Experience with Data & AI | Virtual Workshop

Regional Event

Virtual Event

In this virtual workshop, learn how CSPs from pay TV, wireless, and the emerging connectivity space are using Databricks on everything from network analytics to predictive maintenance on IoT to reducing subscriber churn and increasing average revenue per subscriber.

Databricks Machine Learning Workshop

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. 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 on Amazon SageMaker.

Modern Data Engineering with Azure Databricks (Latin America)

Regional Event

Virtual Event

In this workshop, we’ll cover best practices for organizations to use powerful open source technologies to build and extend your Azure investments to make your data lake analytics ready. You’ll learn about the advantages of cloud-based data lakes in terms of security and cost. And finally, you’ll learn how data professionals are having a huge impact – lowering costs, changing time to market, and even revolutionizing industries.

Azure Databricks Government Forum: Predictive Analytics in the Cloud with FedRAMP High

Regional Event

Virtual Event

Join our upcoming virtual event to learn how you can turn your agency’s data into a strategic asset with a modern cloud data architecture. Learn about the state of predictive analytics in the government. We will also show you a roadmap for adopting analytics and AI at scale. Finally, we will cover how the Department of Transportation is innovating with data and AI.

Modern Data Engineering with Azure Databricks Workshop

Regional Event

Virtual Event

In this workshop, we’ll cover best practices for organizations to use powerful open source technologies to build and extend your Azure investments to make your data lake analytics ready. You’ll learn about the advantages of cloud-based data lakes in terms of security and cost. And finally, you’ll learn how data professionals are having a huge impact - lowering costs, changing time to market, and even revolutionizing industries.

Azure Databricks を利用したモダンデータエンジニアリング

Regional Event

Virtual Event

In this virtual event, we’ll cover best practices for organizations to use powerful open source technologies to build and extend your Azure investments to make your data lake analytics ready. You’ll learn about the advantages of cloud-based data lakes in terms of security and cost. And finally, you’ll learn how data professionals are having a huge impact - lowering costs, changing time to market, and even revolutionizing industries.

Delta Lake Hands-on Lab

Regional Event

Virtual Event

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. It also offers DML commands to update, delete, and merge data for your data lifecycle, such as for GDPR/CCPA. Delta Lake runs on top of your existing data lake, such as on Azure Data Lake Storage, AWS S3, Hadoop HDFS, or on-premise, and is fully compatible with Apache Spark APIs.

Data Science with Azure Databricks | Workshop

Regional Event

Virtual Event

Join Databricks and Microsoft to learn how to leverage Azure best practices for implementing a complete data science lifecycle, enabling data teams to scale effectively using Azure Databricks, MLflow and other Azure services. In this workshop, you will learn how to train models and create predictions with Azure Databricks. You'll also learn how to track experiments and tune hyperparameters with MLflow. Finally, we'll walk through how to deploy and serve models with MLflow and other Azure services.

Modern Data Engineering with Azure Databricks Workshop

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.