Virtual Event

Modern Data Engineering with Azure Databricks

Build a reliable and scalable modern data architecture

Available On-Demand

Organizations across Latin America want to leverage the wealth of data accumulated in their data lake for deep analytics insights. However, most organizations struggle with how to make that data analytics ready, and how to automate data pipelines to leverage new data as data lakes are constantly updated.

In this workshop, Our Latin America and local partners will share how customers such as Banco HipotecarioClearSaleEDP and XTO Energy are leveraging Delta Lake and Azure Databricks to simplify data analytics and accelerate growth. We will 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 this workshop to learn how you can leverage your data lake for powerful analytics insights. This workshop will give you the opportunity to:

  • Learn how to build highly scalable and reliable data pipelines for analytics
  • See how to make your existing Azure Data Lake analytics-ready with open-source Delta Lake technology
  • Integrate that data with services such as Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Azure DevOps and Power BI as well as leveraging your Azure Active Directory security and roles without moving your data out of your account
  • Learn how our Latin America customers are taking advantage of our Unified Data Analytics and Spark expertise

We look forward to connecting with you soon!

Event Sponsor: Databricks (Databricks Privacy Policy)
Event Co-Sponsor: Microsoft Corporation (Microsoft Privacy Statement)
Event Co-Sponsor: Kumulus (Kumulus Privacy Policy)
Event Co-Sponsor: Blueshift (Blueshift Privacy Policy)
Event Co-Sponsor: Deep Dive (Deep Dive Privacy Policy)