Join the free three-part training series on machine learning development and deployment with Databricks Senior Curriculum Engineer Joshua Cook.
AWS re:Invent is going virtual and free for 2020. It will include keynotes, launches, sessions, and more—presented across 3 weeks from Nov. 30 – Dec. 18.
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.
Consumers are increasingly expecting retailers to recognize preferences and make recommendations tailored to their needs. A variety of techniques may be employed to accomplish this but each requires careful consideration of how to overcome challenges of scale. In this session, Bryan Smith, Technical Director at Databricks, will explore some foundational approaches to building recommenders that allow organizations of any size to deliver personalized recommendations to their consumers.
In this virtual workshop, we’ll walk through how biomedical researchers are using the Databricks Unified Data Analytics Platform to efficiently curate, query, and learn from vast quantities of data in the cloud. We will look at end-to-end drug discovery, and show the opportunity to efficiently identify high quality targets and develop new, well characterized leads with a unified approach to data and AI. We will then show you how to curate your data into a central research data lake followed by a discussion with Biogen on how they are advancing research with data and advanced analytics.
Join us in this Financial Services Leadership Forum and learn Data+AI strategies on how to leverage advanced analytics to scale your data analytics and feed customer-centric use cases, including personalization, segmentation and recommendation.
Come and learn how to leverage 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 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.
Join the media, entertainment, and marketing experts from the industry front lines to learn how they’ve implemented modern analytic solutions that help organizations continuously capture audience response from multiple data sources so they can deliver the right content to the right person at the right time.
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.