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AWS | Databricks Cloud Data Lake Dev Day

Partner Event

Online

In this virtual workshop, we’ll cover best practices for organisations 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 revolutionising industries.

Building Intelligent Data Pipelines you can trust for your AI & ML Initiatives

Webinar

Online Event

Join Databricks and Informatica discuss best practices for how to accelerate your AI and analytics initiatives to deliver successful, on-time outcomes that you can trust as you unleash the power of data across your organisation.

Migrate from Hadoop to Databricks: How and Why

Webinar

Webinar

Join Infoworks, Databricks and Tech Mahindra at this live webinar to learn about the details of Hadoop migration, including the economics behind migration, from cost savings to effectiveness improvements such as completing more analytics use cases and delivering business value more quickly.

Azure Databricks Unified Data Analytics Virtual 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 engineering 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 a scalable compute engine for analytics and ML workloads, and how Databricks provides a common interface and tooling for all stakeholders (data engineers and data scientists), regardless of skill set, to foster strong collaboration.

Unified Data Analytics Workshop with Microsoft (Central)

Community 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.

Punchh Drives AI-Powered Customer Loyalty With Databricks and Fivetran

Community Event

Virtual Event

Join this webinar to learn how Databricks and Fivetran help enterprises build reliable, automated data integration solutions on cloud data lakes with ease.

Predicting Churn to Improve Customer Retention | Virtual Workshop

Regional Event

Virtual Event

Join subject matter experts in this virtual workshop to learn how unified data analytics can bring data science, business analytics and engineering together to increase the precision in churn and customer lifetime value models across industries like retail, media, telco, insurance, retail financial services, and other.

AWS | Databricks ML Dev Day (West)

Community 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 also learn how to use Data and 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 on Amazon SageMaker.

AWS | Databricks ML Dev Day (Central)

Community 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 also learn how to use Data and 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 on Amazon SageMaker.

Modernize with On-premises Hadoop to Azure Databricks Migration

Community Event

Virtual Event

In this webinar you’ll learn why successful organizations are switching to modern, cloud-based platforms like Azure Databricks to drive innovation, productivity, and business outcomes. Leave with a best practice framework for safely and securely migrating data and workloads to Azure.