DATA + AI SUMMIT 2021
データコミュニティのグローバルイベントから、200 を超えるセッションおよび基調講演を視聴できます
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Data + AI Summit をはじめとする Databricks のイベント情報
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Cloud Modernization With Databricks and AWS: Modernize Your On-Premises Hadoop to an AWS Cloud Data Lake

Webinar

Live Webinar

Join us live on Thursday, July 29th to learn why leading organizations are switching to modern cloud-based data and analytics platforms to drive innovation, increase productivity, deliver business impact and reduce the total cost of ownership for their data lake.

Blackhat Meet the Disruptors Preview: Security operations in the Multi-cloud Era

Conference

Four Seasons Hotel, Las Vegas, NV

Your secops team is challenged to defend the footprints as your business accelerates into multi-cloud. You want threat coverage across massive data volumes. Help analysts do their jobs faster and reduce costs - without any forklifting. Reserve a time to speak with Monzy Merza, VP of Security Go-to-Market at Databricks, ex-Splunk, ex-US Gov and the Databricks team of Security SMEs

Unlock Data-driven Insights with Location Intelligence using Databricks

Partner Event

Streaming live from Australia

Join our live webcast with Databricks, Precisely and The Spatial Distillery Co. to learn how to simplify the complexity of location data and transform it into valuable insights. This session will demonstrate how, with the help of Databricks Lakehouse, you're able to integrate geospatial data into business processes for real-time decisioning with informative demos and real-world use-cases.

Databricks Melbourne MeetUp

Community Event

Streaming live from Melbourne, Australia

Join the inaugural Databricks Melbourne MeetUp! Taking place virtually, Databricks will be joined by local partner Cuusoo to talk about the launch of Databricks on Google Cloud and the latest features of the Databricks Lakehouse platform. We'll also be covering a few demos on how to stand up workspaces and clusters on Google Kubernetes Engine, and much more.

Data Science With Azure Databricks Workshop

Regional Event

オンラインイベント

Machine learning enables organizations to make more informed decisions and predictions at record speed. Cloud computing enables you to tap into a wider variety of data sources to improve the accuracy and speed of these predictions. 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.

Modern Data Engineering With Azure Databricks Workshop

Regional Event

オンラインイベント

In this workshop, we’ll cover best practices to help organizations use powerful open source technologies so you can build and extend your Azure investments and 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.

Databricks and Tredence Solve for Retail On-Shelf Availability

Virtual Event

オンラインイベント

In this live workshop, we are partnering with Tredence, a data science and AI engineering company focused on solving the last mile problem in analytics. We’ll showcase our new joint On-Shelf Availability Solution Accelerator — a robust quick-start guide with best-practices and notebooks that’s the foundation for a full out-of-stock or supply chain solution. Tredence works with the largest retailers on the planet and understands the nuances of Out-of-Stock (OOS) modeling. Join us to see how Databricks’ processing power and Tredence’s advanced data science capabilities create a winning combination.

Coming of AI-ge: How Financial Services Can Innovate Like Big Tech

Webinar

オンラインイベント

The digital surge is reshaping the financial services industry but data silos and a lack of coherent data strategy is preventing organisations from becoming truly innovative. In this 1-hour panel discussion, we will ask 4 FSI technology leaders on what their industry needs to do to unleash their data, and to innovate like big tech.